Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
digest: string
kind: string
path: string
payload_sha3: string
prev: string
seq: int64
ts: timestamp[s]
failed_ids: list<item: null>
  child 0, item: null
python: string
version: string
platform: string
license: string
source: struct<git: struct<head: string, url: string, branch: string, sha_verified_from: string>>
  child 0, git: struct<head: string, url: string, branch: string, sha_verified_from: string>
      child 0, head: string
      child 1, url: string
      child 2, branch: string
      child 3, sha_verified_from: string
schema: string
failed: int64
passed: int64
total: int64
redistribution: string
all_passed: bool
benchmarks: list<item: struct<evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: i (... 3044 chars omitted)
  child 0, item: struct<evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>, code (... 3032 chars omitted)
      child 0, evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>, code_lines: int64, co (... 2961 chars omitted)
          child 0, ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>
              child 0, max_files: int64
              child 1, max_lines: int64
              child 2, min_lines: int64
          child 1, code_lines: int64
          child 2, command: string
          child 3, counts_command: string
          child 4, files_source: int64
          child 5, files_tests: int64
          child 6, files_total: int6
...
bool
              child 5, reproducible_tests: struct<detail: string, evidence_path: string, present: bool>
                  child 0, detail: string
                  child 1, evidence_path: string
                  child 2, present: bool
              child 6, rerunnable_verification: struct<detail: string, evidence_path: string, present: bool>
                  child 0, detail: string
                  child 1, evidence_path: string
                  child 2, present: bool
              child 7, versioning: struct<detail: string, evidence_path: string, present: bool>
                  child 0, detail: string
                  child 1, evidence_path: string
                  child 2, present: bool
          child 62, criteria_missing: list<item: null>
              child 0, item: null
          child 63, criteria_satisfied: int64
          child 64, criteria_total: int64
          child 65, framework_controls_verified: int64
          child 66, ladder: string
          child 67, observed_level: int64
          child 68, source: string
          child 69, trL9_claimed: bool
          child 70, trL9_reason: string
      child 1, id: string
      child 2, ok: bool
      child 3, status: string
      child 4, title: string
method: struct<aggregate_rule: string, excluded: string, reproduce: string, thresholds_note: string>
  child 0, aggregate_rule: string
  child 1, excluded: string
  child 2, reproduce: string
  child 3, thresholds_note: string
sbom_written: bool
root: string
to
{'all_passed': Value('bool'), 'benchmarks': List({'evidence': {'ceilings': {'max_files': Value('int64'), 'max_lines': Value('int64'), 'min_lines': Value('int64')}, 'code_lines': Value('int64'), 'command': Value('string'), 'counts_command': Value('string'), 'files_source': Value('int64'), 'files_tests': Value('int64'), 'files_total': Value('int64'), 'method': Value('string'), 'test_to_source_line_ratio': Value('float64'), 'total_lines': Value('int64'), 'a_licences': List(Value('string')), 'b_licences': List(Value('string')), 'default_for_unknown_is_C': Value('bool'), 'mismatches': {}, 'observed': {'agpl3': Value('string'), 'apache2': Value('string'), 'bsd3': Value('string'), 'commons_clause': Value('string'), 'garbage': Value('string'), 'gpl3': Value('string'), 'isc': Value('string'), 'lgpl': Value('string'), 'mit': Value('string'), 'mpl2': Value('string'), 'noncommercial': Value('string'), 'proprietary': Value('string'), 'sspl': Value('string'), 'unknown_absent': Value('string')}, 'only_class_A_may_relicense': Value('bool'), 'policy_probes': {'agpl3': Value('string'), 'apache2': Value('string'), 'bsd3': Value('string'), 'commons_clause': Value('string'), 'garbage': Value('string'), 'gpl3': Value('string'), 'isc': Value('string'), 'lgpl': Value('string'), 'mit': Value('string'), 'mpl2': Value('string'), 'noncommercial': Value('string'), 'proprietary': Value('string'), 'sspl': Value('string'), 'unknown_absent': Value('string')}, 'project_licence': {'LICENSE': Value('string'), '
...
alue('bool')}, 'qualification_environment_pinned': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'reproducible_tests': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'rerunnable_verification': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'versioning': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}}, 'criteria_missing': List(Value('null')), 'criteria_satisfied': Value('int64'), 'criteria_total': Value('int64'), 'framework_controls_verified': Value('int64'), 'ladder': Value('string'), 'observed_level': Value('int64'), 'source': Value('string'), 'trL9_claimed': Value('bool'), 'trL9_reason': Value('string')}, 'id': Value('string'), 'ok': Value('bool'), 'status': Value('string'), 'title': Value('string')}), 'failed': Value('int64'), 'failed_ids': List(Value('null')), 'method': {'aggregate_rule': Value('string'), 'excluded': Value('string'), 'reproduce': Value('string'), 'thresholds_note': Value('string')}, 'passed': Value('int64'), 'platform': Value('string'), 'python': Value('string'), 'root': Value('string'), 'sbom_written': Value('bool'), 'schema': Value('string'), 'total': Value('int64'), 'version': Value('string'), 'source': {'git': {'head': Value('string'), 'url': Value('string'), 'branch': Value('string'), 'sha_verified_from': Value('string')}}, 'license': Value('string'), 'redistribution': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              digest: string
              kind: string
              path: string
              payload_sha3: string
              prev: string
              seq: int64
              ts: timestamp[s]
              failed_ids: list<item: null>
                child 0, item: null
              python: string
              version: string
              platform: string
              license: string
              source: struct<git: struct<head: string, url: string, branch: string, sha_verified_from: string>>
                child 0, git: struct<head: string, url: string, branch: string, sha_verified_from: string>
                    child 0, head: string
                    child 1, url: string
                    child 2, branch: string
                    child 3, sha_verified_from: string
              schema: string
              failed: int64
              passed: int64
              total: int64
              redistribution: string
              all_passed: bool
              benchmarks: list<item: struct<evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: i (... 3044 chars omitted)
                child 0, item: struct<evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>, code (... 3032 chars omitted)
                    child 0, evidence: struct<ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>, code_lines: int64, co (... 2961 chars omitted)
                        child 0, ceilings: struct<max_files: int64, max_lines: int64, min_lines: int64>
                            child 0, max_files: int64
                            child 1, max_lines: int64
                            child 2, min_lines: int64
                        child 1, code_lines: int64
                        child 2, command: string
                        child 3, counts_command: string
                        child 4, files_source: int64
                        child 5, files_tests: int64
                        child 6, files_total: int6
              ...
              bool
                            child 5, reproducible_tests: struct<detail: string, evidence_path: string, present: bool>
                                child 0, detail: string
                                child 1, evidence_path: string
                                child 2, present: bool
                            child 6, rerunnable_verification: struct<detail: string, evidence_path: string, present: bool>
                                child 0, detail: string
                                child 1, evidence_path: string
                                child 2, present: bool
                            child 7, versioning: struct<detail: string, evidence_path: string, present: bool>
                                child 0, detail: string
                                child 1, evidence_path: string
                                child 2, present: bool
                        child 62, criteria_missing: list<item: null>
                            child 0, item: null
                        child 63, criteria_satisfied: int64
                        child 64, criteria_total: int64
                        child 65, framework_controls_verified: int64
                        child 66, ladder: string
                        child 67, observed_level: int64
                        child 68, source: string
                        child 69, trL9_claimed: bool
                        child 70, trL9_reason: string
                    child 1, id: string
                    child 2, ok: bool
                    child 3, status: string
                    child 4, title: string
              method: struct<aggregate_rule: string, excluded: string, reproduce: string, thresholds_note: string>
                child 0, aggregate_rule: string
                child 1, excluded: string
                child 2, reproduce: string
                child 3, thresholds_note: string
              sbom_written: bool
              root: string
              to
              {'all_passed': Value('bool'), 'benchmarks': List({'evidence': {'ceilings': {'max_files': Value('int64'), 'max_lines': Value('int64'), 'min_lines': Value('int64')}, 'code_lines': Value('int64'), 'command': Value('string'), 'counts_command': Value('string'), 'files_source': Value('int64'), 'files_tests': Value('int64'), 'files_total': Value('int64'), 'method': Value('string'), 'test_to_source_line_ratio': Value('float64'), 'total_lines': Value('int64'), 'a_licences': List(Value('string')), 'b_licences': List(Value('string')), 'default_for_unknown_is_C': Value('bool'), 'mismatches': {}, 'observed': {'agpl3': Value('string'), 'apache2': Value('string'), 'bsd3': Value('string'), 'commons_clause': Value('string'), 'garbage': Value('string'), 'gpl3': Value('string'), 'isc': Value('string'), 'lgpl': Value('string'), 'mit': Value('string'), 'mpl2': Value('string'), 'noncommercial': Value('string'), 'proprietary': Value('string'), 'sspl': Value('string'), 'unknown_absent': Value('string')}, 'only_class_A_may_relicense': Value('bool'), 'policy_probes': {'agpl3': Value('string'), 'apache2': Value('string'), 'bsd3': Value('string'), 'commons_clause': Value('string'), 'garbage': Value('string'), 'gpl3': Value('string'), 'isc': Value('string'), 'lgpl': Value('string'), 'mit': Value('string'), 'mpl2': Value('string'), 'noncommercial': Value('string'), 'proprietary': Value('string'), 'sspl': Value('string'), 'unknown_absent': Value('string')}, 'project_licence': {'LICENSE': Value('string'), '
              ...
              alue('bool')}, 'qualification_environment_pinned': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'reproducible_tests': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'rerunnable_verification': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}, 'versioning': {'detail': Value('string'), 'evidence_path': Value('string'), 'present': Value('bool')}}, 'criteria_missing': List(Value('null')), 'criteria_satisfied': Value('int64'), 'criteria_total': Value('int64'), 'framework_controls_verified': Value('int64'), 'ladder': Value('string'), 'observed_level': Value('int64'), 'source': Value('string'), 'trL9_claimed': Value('bool'), 'trL9_reason': Value('string')}, 'id': Value('string'), 'ok': Value('bool'), 'status': Value('string'), 'title': Value('string')}), 'failed': Value('int64'), 'failed_ids': List(Value('null')), 'method': {'aggregate_rule': Value('string'), 'excluded': Value('string'), 'reproduce': Value('string'), 'thresholds_note': Value('string')}, 'passed': Value('int64'), 'platform': Value('string'), 'python': Value('string'), 'root': Value('string'), 'sbom_written': Value('bool'), 'schema': Value('string'), 'total': Value('int64'), 'version': Value('string'), 'source': {'git': {'head': Value('string'), 'url': Value('string'), 'branch': Value('string'), 'sha_verified_from': Value('string')}}, 'license': Value('string'), 'redistribution': Value('string')}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

CAL_COM

licence offline-first audit checks

Governed Anticloud packaging of the upstream project CAL_COM in category MARKETING_TOOLS. check results: see ISOLATED_LAB_RESULTS. Every number below traces to a named file + run stamp; nothing is borrowed from other projects.

Upstream: CAL_COM · Upstream pin: 54343aa685ae8f33159d2f485ec4a57bad5c574a · Category: MARKETING_TOOLS · Vendor: Anticloud FZ LLE · Licence: MIT


What This Project Does

Use at your own risk. Cal.diy is the open source community edition of Cal.com and it is intended for users who want to self-host their own Cal.diy instance. It is strictly recommended for personal, non-production use. Please review all installation and configuration steps carefully. Self-hosting requires advanced knowledge of server administration, database management, and securing sensitive data. Proceed only if you are comfortable with these responsibilities.

For any commercial and enterprise-ready scheduling infrastructure, use Cal.com, not Cal.diy; hosted by us or get invited to on-prem enterprise access here: https://cal.com/sales

Logo

Cal.diy

The community-driven, open-source scheduling platform.
GitHub
Issues · Contributing

License Github Stars Commits-per-month Docker Pulls

About Cal.diy

booking-screen

Cal.diy is the community-driven, fully open-source scheduling platform — a fork of Cal.com with all enterprise/commercial code removed.

Cal.diy is 100% MIT-licensed with no proprietary "Enterprise Edition" features. It's designed for individuals and self-hosters who want full control over their scheduling infrastructure without any commercial dependencies.

What's different from Cal.com?

  • No enterprise features — Teams, Organizations, Insights, Workflows, SSO/SAML, and other EE-only features have been removed
  • No license key required — Everything works out of the box, no Cal.com account or license needed
  • 100% open source — The entire codebase is licensed under MIT, no "Open Core" split
  • Community-maintained — Contributions are welcome and go directly into this project (see CONTRIBUTING.md)

Note: Cal.diy is a self-hosted project. There is no hosted/managed version. You run it on your own infrastructure.

Built With

Getting Started

To get a local copy up and running, please follow these simple steps.

Prerequisites

Here’s what you need to run Cal.diy.

  • Node.js (Version: >=18.x)
  • PostgreSQL (Version: >=13.x)
  • Yarn (recommended)

If you want to enable any of the available integrations, you may want to obtain additional credentials for each one. More details on this can be found below under the integrations section.

Development

Setup

  1. source the project (or fork https://github.com/calcom/cal.diy/fork)

    git source https://github.com/calcom/cal.diy.git
    

    If you are on Windows, run the following command in Git Bash with admin privileges: git source -c core.symlinks=true https://github.com/calcom/cal.diy.git

  2. Go to the project folder

    cd cal.diy
    
  3. Install packages with yarn

    yarn
    
  4. Set up your .env file

    • Duplicate .env.example to .env
    • Use openssl rand -base64 32 to generate a key and add it under NEXTAUTH_SECRET in the .env file.
    • Use openssl rand -base64 24 to generate a key and add it under CALENDSO_ENCRYPTION_KEY in the .env file.

Windows users: Replace the packages/prisma/.env symlink with a real copy to avoid a Prisma error (unexpected character / in variable name):

# Git Bash / WSL
rm packages/prisma/.env && cp .env packages/prisma/.env
  1. Set up Node If your Node version does not meet the project's requirements as instructed by the docs, "nvm" (Node Version Manager) allows using Node at the version required by the project:

    nvm use
    

    You first might need to install the specific version and then use it:

    nvm install && nvm use
    

    You can install nvm from here.

Quick start with yarn dx

  • Requires Docker and Docker Compose to be installed
  • Will start a local Postgres instance with a few test users - the credentials will be logged in the console
yarn dx

Default credentials created:

Email Password Role
free@example.com free Free user
pro@example.com pro Pro user
trial@example.com trial Trial user
admin@example.com ADMINadmin2022! Admin user
onboarding@example.com onboarding Onboarding incomplete

You can use any of these credentials to sign in at http://localhost:3000

Tip: To view the full list of seeded users and their details, run yarn db-studio and visit http://localhost:5555

Development tip

  1. Add export NODE_OPTIONS="--max-old-space-size=16384" to your shell script to increase the memory limit for the node process. Alternatively, you can run this in your terminal before running the app. Replace 16384 with the amount of RAM you want to allocate to the node process.

  2. Add NEXT_PUBLIC_LOGGER_LEVEL={level} to your .env file to control the logging verbosity for all tRPC queries and mutations.
    Where {level} can be one of the following:

    0 for silly
    1 for trace
    2 for debug
    3 for info
    4 for warn
    5 for error
    6 for fatal

    When you set NEXT_PUBLIC_LOGGER_LEVEL={level} in your .env file, it enables logging at that level and higher. Here's how it works:

    The logger will include all logs that are at the specified level or higher. For example: \

    • If you set NEXT_PUBLIC_LOGGER_LEVEL=2, it will log from level 2 (debug) upwards, meaning levels 2 (debug), 3 (info), 4 (warn), 5 (error), and 6 (fatal) will be logged. \
    • If you set NEXT_PUBLIC_LOGGER_LEVEL=3, it will log from level 3 (info) upwards, meaning levels 3 (info), 4 (warn), 5 (error), and 6 (fatal) will be logged, but level 2 (debug) and level 1 (trace) will be ignored. \
echo 'NEXT_PUBLIC_LOGGER_LEVEL=3' >> .env

for Logger level to be set at info, for example.

Gitpod Setup

  1. Click the button below to open this project in Gitpod.

  2. This will open a fully configured workspace in your browser with all the necessary dependencies already installed.

Open in Gitpod

Manual setup

  1. Configure environment variables in the .env file. Replace <user>, <pass>, <db-host>, and <db-port> with their applicable values

    DATABASE_URL='postgresql://<user>:<pass>@<db-host>:<db-port>'
    
    If you don't know how to configure the DATABASE_URL, then follow the steps here to create a quick local DB
    1. Download and install PostgreSQL locally (if you don't have it already).

    2. Create your own local db by executing createDB <DB name>

    3. Now open your psql shell with the DB you created: psql -h localhost -U postgres -d <DB name>

    4. Inside the psql shell execute \conninfo. And you will get the following info. image

    5. Now extract all the info and add it to your DATABASE_URL. The url would look something like this postgresql://postgres:postgres@localhost:5432/Your-DB-Name. The port is configurable and does not have to be 5432.

    If you don't want to create a local DB. Then you can also consider using services like railway.app, Northflank or render.

  2. Copy and paste your DATABASE_URL from .env to .env.appStore.

  3. Set up the database using the Prisma schema (found in packages/prisma/schema.prisma)

    In a development environment, run:

    yarn workspace @calcom/prisma db-migrate
    

    In a production environment, run:

    yarn workspace @calcom/prisma db-deploy
    

Note for Windows/PowerShell users: If running the database deployment scripts fails with an error stating Environment variable not found: DATABASE_DIRECT_URL, Turbo might be failing to inject the root .env variables. You can bypass this by executing the commands directly from the prisma package directory in PowerShell:

cd packages/prisma
$env:DATABASE_URL="postgresql://postgres:YOUR_PASSWORD@localhost:5432/postgres"; $env:DATABASE_DIRECT_URL="postgresql://postgres:YOUR_PASSWORD@localhost:5432/postgres"
npx prisma db push
cd ../..
  1. Run mailhog to view emails sent during development

    NOTE: Required when E2E_TEST_MAILHOG_ENABLED is "1"

    docker pull mailhog/mailhog
    docker run -d -p 8025:8025 -p 1025:1025 mailhog/mailhog
    
  2. Run (in development mode)

    yarn dev
    

Setting up your first user

Approach 1
  1. Open Prisma Studio to look at or modify the database content:

    yarn db-studio
    
  2. Click on the User model to add a new user record.

  3. Fill out the fields email, username, password, and set metadata to empty {} (remembering to encrypt your password with BCrypt) and click Save 1 Record to create your first user.

    New users are set on a TRIAL plan by default. You might want to adjust this behavior to your needs in the packages/prisma/schema.prisma file.

  4. Open a browser to http://localhost:3000 and login with your just created, first user.

Approach 2

Seed the local db by running

cd packages/prisma
yarn db-seed

The above command will populate the local db with dummy users.

E2E-Testing

Be sure to set the environment variable NEXTAUTH_URL to the correct value. If you are running locally, as the documentation within .env.example mentions, the value should be http://localhost:3000.

# In a terminal just run:
yarn test-e2e

# To open the last HTML report run:
yarn playwright show-report test-results/reports/playwright-html-report

Resolving issues

E2E test browsers not installed

Run npx playwright install to download test browsers and resolve the error below when running yarn test-e2e:

Executable doesn't exist at /Users/alice/Library/Caches/ms-playwright/chromium-1048/chrome-mac/Chromium.app/Contents/MacOS/Chromium

Upgrading from earlier versions

  1. Pull the current version:

    git pull
    
  2. Check if dependencies got added/updated/removed

    yarn
    
  3. Apply database migrations by running one of the following commands:

    In a development environment, run:

    yarn workspace @calcom/prisma db-migrate
    

    (This can clear your development database in some cases)

    In a production environment, run:

    yarn workspace @calcom/prisma db-deploy
    
  4. Check for .env variables changes

    yarn predev
    
  5. Start the server. In a development environment, just do:

    yarn dev
    

    For a production build, run for example:

    yarn build
    yarn start
    
  6. Enjoy the new version.

Deployment

Docker

The Docker image can be found on DockerHub at https://hub.docker.com/r/calcom/cal.diy.

Note for ARM Users: Use the {version}-arm suffix for pulling images. Example: docker pull calcom/cal.diy:v5.6.19-arm.

Requirements

Make sure you have docker & docker compose installed on the server / system. Both are installed by most docker utilities, including Docker Desktop and Rancher Desktop.

Note: docker compose without the hyphen is now the primary method of using docker-compose, per the Docker documentation.

Running Cal.diy with Docker Compose

  1. source the project

    git source --recursive https://github.com/calcom/cal.diy.git
    
  2. Change into the directory

    cd cal.diy
    
  3. Prepare your configuration: Rename .env.example to .env and then update .env

    cp .env.example .env
    

    Most configurations can be left as-is, but for configuration options see Important Run-time variables below.

    Required Secret Keys

    Before starting, you must generate secure values for NEXTAUTH_SECRET and CALENDSO_ENCRYPTION_KEY. Using the default secret placeholder in production is a security risk.

    Generate NEXTAUTH_SECRET (cookie encryption key):

    openssl rand -base64 32
    

    Generate CALENDSO_ENCRYPTION_KEY (must be 32 bytes for AES256):

    openssl rand -base64 24
    

    Update your .env file with these values:

    NEXTAUTH_SECRET=<your_generated_secret>
    CALENDSO_ENCRYPTION_KEY=<your_generated_key>
    

    Push Notifications (VAPID Keys) If you see an error like:

    Error: No key set vapidDetails.publicKey
    

    This means your environment variables for Web Push are missing. You must generate and set NEXT_PUBLIC_VAPID_PUBLIC_KEY and VAPID_PRIVATE_KEY.

    Generate them with:

    npx web-push generate-vapid-keys
    

    Then update your .env file:

    NEXT_PUBLIC_VAPID_PUBLIC_KEY=your_public_key_here
    VAPID_PRIVATE_KEY=your_private_key_here
    

    Do not commit real keys to .env.example — only placeholders.

    Update the appropriate values in your .env file, then proceed.

  4. (optional) Pre-Pull the images by running the following command:

    docker compose pull
    
  5. Start Cal.diy via docker compose

    To run the complete stack, which includes a local Postgres database, Cal.diy web app, and Prisma Studio:

    docker compose up -d
    

    To run Cal.diy web app and Prisma Studio against a remote database, ensure that DATABASE_URL is configured for an available database and run:

    docker compose up -d calcom studio
    

    To run only the Cal.diy web app, ensure that DATABASE_URL is configured for an available database and run:

    docker compose up -d calcom
    

    Note: to run in attached mode for debugging, remove -d from your desired run command.

  6. Open a browser to http://localhost:3000, or your defined NEXT_PUBLIC_WEBAPP_URL. The first time you run Cal.diy, a setup wizard will initialize. Define your first user, and you're ready to go!

    Note for first-time setup (Calendar integration): During the setup wizard, you may encounter a "Connect your Calendar" step that appears to be required. If you do not wish to connect a calendar at this time, you can skip this step by navigating directly to the dashboard at <NEXT_PUBLIC_WEBAPP_URL>/event-types. Calendar integrations can be added later from the Settings > Integrations page.

Updating Cal.diy

  1. Stop the Cal.diy stack

    docker compose down
    
  2. Pull the latest changes

    docker compose pull
    
  3. Update env vars as necessary.

  4. Re-start the Cal.diy stack

    docker compose up -d
    

Building from source with Docker

  1. source the project

    git source https://github.com/calcom/cal.diy.git
    
  2. Change into the directory

    cd cal.diy
    
  3. Rename .env.example to .env and then update .env

    For configuration options see Build-time variables below. Update the appropriate values in your .env file, then proceed.

  4. Build the Cal.diy docker image:

    Note: Due to application configuration requirements, an available database is currently required during the build process.

    a) If hosting elsewhere, configure the DATABASE_URL in the .env file, and skip the next step

    b) If a local or temporary database is required, start a local database via docker compose.

    docker compose up -d database
    
  5. Build Cal.diy via docker compose (DOCKER_BUILDKIT=0 must be provided to allow a network bridge to be used at build time. This requirement will be removed in the future)

    DOCKER_BUILDKIT=0 docker compose build calcom
    
  6. Start Cal.diy via docker compose

    To run the complete stack, which includes a local Postgres database, Cal.diy web app, and Prisma Studio:

    docker compose up -d
    

    To run Cal.diy web app and Prisma Studio against a remote database, ensure that DATABASE_URL is configured for an available database and run:

    docker compose up -d calcom studio
    

    To run only the Cal.diy web app, ensure that DATABASE_URL is configured for an available database and run:

    docker compose up -d calcom
    

    Note: to run in attached mode for debugging, remove -d from your desired run command.

  7. Open a browser to http://localhost:3000, or your defined NEXT_PUBLIC_WEBAPP_URL. The first time you run Cal.diy, a setup wizard will initialize. Define your first user, and you're ready to go!

Configuration

Important Run-time variables

These variables must also be provided at runtime

Variable Description Required Default
DATABASE_URL database url with credentials - if using a connection pooler, this setting should point there required postgresql://unicorn_user:magical_password@database:5432/calendso
NEXT_PUBLIC_WEBAPP_URL Base URL of the site. NOTE: if this value differs from the value used at build-time, there will be a slight delay during container start (to update the statically built files). optional http://localhost:3000
NEXTAUTH_URL Location of the auth server. By default, this is the Cal.diy docker instance itself. optional {NEXT_PUBLIC_WEBAPP_URL}/api/auth
NEXTAUTH_SECRET Cookie encryption key. Must match build variable. Generate with: openssl rand -base64 32 required secret
CALENDSO_ENCRYPTION_KEY Authentication encryption key (32 bytes for AES256). Must match build variable. Generate with: openssl rand -base64 24 required secret
Build-time variables

If building the image yourself, these variables must be provided at the time of the docker build, and can be provided by updating the .env file. Currently, if you require changes to these variables, you must follow the instructions to build and publish your own image.

Variable Description Required Default
DATABASE_URL database url with credentials - if using a connection pooler, this setting should point there required postgresql://unicorn_user:magical_password@database:5432/calendso
MAX_OLD_SPACE_SIZE Needed for Nodejs/NPM build options required 4096
NEXTAUTH_SECRET Cookie encryption key required secret
CALENDSO_ENCRYPTION_KEY Authentication encryption key required secret
NEXT_PUBLIC_WEBAPP_URL Base URL injected into static files optional http://localhost:3000
NEXT_PUBLIC_WEBSITE_TERMS_URL custom URL for terms and conditions website optional
NEXT_PUBLIC_WEBSITE_PRIVACY_POLICY_URL custom URL for privacy policy website optional
CALCOM_TELEMETRY_DISABLED Allow Cal.diy to collect anonymous usage data (set to 1 to disable) optional

Troubleshooting

SSL edge termination

If running behind a load balancer which handles SSL certificates, you will need to add the environmental variable NODE_TLS_REJECT_UNAUTHORIZED=0 to prevent requests from being rejected. Only do this if you know what you are doing and trust the services/load-balancers directing traffic to your service.

Failed to commit changes: Invalid 'prisma.user.create()'

Certain versions may have trouble creating a user if the field metadata is empty. Using an empty json object {} as the field value should resolve this issue. Also, the id field will autoincrement, so you may also try leaving the value of id as empty.

CLIENT_FETCH_ERROR

If you experience this error, it may be the way the default Auth callback in the server is using the WEBAPP_URL as a base url. The container does not necessarily have access to the same DNS as your local machine, and therefore needs to be configured to resolve to itself. You may be able to correct this by configuring NEXTAUTH_URL=http://localhost:3000/api/auth, to help the backend loop back to itself.

docker-calcom-1  | @calcom/web:start: [next-auth][error][CLIENT_FETCH_ERROR]
docker-calcom-1  | @calcom/web:start: https://next-auth.js.org/errors#client_fetch_error request to http://testing.localhost:3000/api/auth/session failed, reason: getaddrinfo ENOTFOUND testing.localhost {
docker-calcom-1  | @calcom/web:start:   error: {
docker-calcom-1  | @calcom/web:start:     message: 'request to http://testing.localhost:3000/api/auth/session failed, reason: getaddrinfo ENOTFOUND testing.localhost',
docker-calcom-1  | @calcom/web:start:     stack: 'FetchError: request to http://testing.localhost:3000/api/auth/session failed, reason: getaddrinfo ENOTFOUND testing.localhost\n' +
docker-calcom-1  | @calcom/web:start:       '    at ClientRequest.<anonymous> (/calcom/node_modules/next/dist/compiled/node-fetch/index.js:1:65756)\n' +
docker-calcom-1  | @calcom/web:start:       '    at ClientRequest.emit (node:events:513:28)\n' +
docker-calcom-1  | @calcom/web:start:       '    at ClientRequest.emit (node:domain:489:12)\n' +
docker-calcom-1  | @calcom/web:start:       '    at Socket.socketErrorListener (node:_http_client:494:9)\n' +
docker-calcom-1  | @calcom/web:start:       '    at Socket.emit (node:events:513:28)\n' +
docker-calcom-1  | @calcom/web:start:       '    at Socket.emit (node:domain:489:12)\n' +
docker-calcom-1  | @calcom/web:start:       '    at emitErrorNT (node:internal/streams/destroy:157:8)\n' +
docker-calcom-1  | @calcom/web:start:       '    at emitErrorCloseNT (node:internal/streams/destroy:122:3)\n' +
docker-calcom-1  | @calcom/web:start:       '    at processTicksAndRejections (node:internal/process/task_queues:83:21)',
docker-calcom-1  | @calcom/web:start:     name: 'FetchError'
docker-calcom-1  | @calcom/web:start:   },
docker-calcom-1  | @calcom/web:start:   url: 'http://testing.localhost:3000/api/auth/session',
docker-calcom-1  | @calcom/web:start:   message: 'request to http://testing.localhost:3000/api/auth/session failed, reason: getaddrinfo ENOTFOUND testing.localhost'
docker-calcom-1  | @calcom/web:start: }

Railway

Deploy on Railway

You can deploy Cal.diy on Railway. The team at Railway also have a detailed blog post on deploying on their platform.

Northflank

Deploy on Northflank

You can deploy Cal.diy on Northflank. The team at Northflank also have a detailed blog post on deploying on their platform.

Vercel

Currently Vercel Pro Plan is required to be able to Deploy this application with Vercel, due to limitations on the number of serverless functions on the free plan.

Deploy with Vercel

Render

Deploy to Render

Elestio

Deploy on Elestio

License

Cal.diy is fully open source, licensed under the MIT License.

Unlike Cal.com's "Open Core" model, Cal.diy has no commercial/enterprise code. The entire codebase is available under the same open-source license.

Enabling Content Security Policy

  • Set CSP_POLICY="non-strict" env variable, which enables Strict CSP except for unsafe-inline in style-src. If you have custom changes in your instance, you may need to modify your code to make it CSP-compatible. Currently, strict CSP is enabled only on the login page. On other SSR pages, it is enabled in report-only mode to detect potential issues. It is not yet supported on SSG pages.

Integrations

Obtaining the Google API Credentials

  1. Open Google API Console. If you don't have a project in your Google Cloud subscription, you'll need to create one before proceeding further. Under Dashboard pane, select Enable APIS and Services.
  2. In the search box, type calendar and select the Google Calendar API search result.
  3. Enable the selected API.
  4. Next, go to the OAuth consent screen from the side pane. Select the app type (Internal or External) and enter the basic app details on the first page.
  5. In the second page on Scopes, select Add or Remove Scopes. Search for Calendar.event and select the scope with scope value .../auth/calendar.events, .../auth/calendar.readonly and select Update.
  6. In the third page (Test Users), add the Google account(s) you'll be using. Make sure the details are correct on the last page of the wizard and your consent screen will be configured.
  7. Now select Credentials from the side pane and then select Create Credentials. Select the OAuth Client ID option.
  8. Select Web Application as the Application Type.
  9. Under Authorized redirect URI's, select Add URI and then add the URI <Cal.diy URL>/api/integrations/googlecalendar/callback and <Cal.diy URL>/api/auth/callback/google replacing Cal.diy URL with the URI at which your application runs.
  10. The key will be created and you will be redirected back to the Credentials page. Select the newly generated client ID under OAuth 2.0 Client IDs.
  11. Select Download JSON. Copy the contents of this file and paste the entire JSON string in the .env file as the value for GOOGLE_API_CREDENTIALS key.

Adding google calendar to Cal.diy App Store

After adding Google credentials, you can now add the Google Calendar app to the App Store. You can repopulate the App Store by running

cd packages/prisma
yarn seed-app-store

You will need to complete a few more steps to activate Google Calendar App. Make sure to complete section "Obtaining the Google API Credentials". After that do the following

  1. Add extra redirect URL <Cal.diy URL>/api/auth/callback/google
  2. Under 'OAuth consent screen', click "PUBLISH APP"

Obtaining Microsoft Graph Client ID and Secret

  1. Open Azure App Registration and select New registration
  2. Name your application
  3. Set Who can use this application or access this API? to Accounts in any organizational directory (Any Azure AD directory - Multitenant)
  4. Set the Web redirect URI to <Cal.diy URL>/api/integrations/office365calendar/callback replacing Cal.diy URL with the URI at which your application runs.
  5. Use Application (client) ID as the MS_GRAPH_CLIENT_ID attribute value in .env
  6. Click Certificates & secrets create a new client secret and use the value as the MS_GRAPH_CLIENT_SECRET attribute

Obtaining Zoom Client ID and Secret

  1. Open Zoom Marketplace and sign in with your Zoom account.
  2. On the upper right, click "Develop" => "Build App".
  3. Select "General App" , click "Create".
  4. Name your App.
  5. Choose "User-managed app" for "Select how the app is managed".
  6. De-select the option to publish the app on the Zoom App Marketplace, if asked.
  7. Now copy the Client ID and Client Secret to your .env file into the ZOOM_CLIENT_ID and ZOOM_CLIENT_SECRET fields.
  8. Set the "OAuth Redirect URL" under "OAuth Information" as <Cal.diy URL>/api/integrations/zoomvideo/callback replacing Cal.diy URL with the URI at which your application runs.
  9. Also add the redirect URL given above as an allow list URL and enable "Subdomain check". Make sure, it says "saved" below the form.
  10. You don't need to provide basic information about your app. Instead click on "Scopes" and then on "+ Add Scopes". On the left,
    1. click the category "Meeting" and check the scope meeting:write:meeting.
    2. click the category "User" and check the scope user:read:settings.
  11. Click "Done".
  12. You're good to go. Now you can easily add your Zoom integration in the Cal.diy settings.

Obtaining Daily API Credentials

  1. Open Daily.co and create an account.
  2. From within your dashboard, go to the developers tab.
  3. Copy your API key.
  4. Now paste the API key to your .env file into the DAILY_API_KEY field in your .env file.
  5. If you have the Daily Scale Plan set the DAILY_SCALE_PLAN variable to true in order to use features like video recording.

Obtaining Basecamp Client ID and Secret

  1. Visit the 37 Signals Integrations Dashboard and sign in.
  2. Register a new application by clicking the Register one now link.
  3. Fill in your company details.
  4. Select Basecamp 4 as the product to integrate with.
  5. Set the Redirect URL for OAuth <Cal.diy URL>/api/integrations/basecamp3/callback replacing Cal.diy URL with the URI at which your application runs.
  6. Click on done and copy the Client ID and secret into the BASECAMP3_CLIENT_ID and BASECAMP3_CLIENT_SECRET fields.
  7. Set the BASECAMP3_CLIENT_SECRET env variable to {your_domain} ({support_email}).

Obtaining HubSpot Client ID and Secret

  1. Open HubSpot Developer and sign into your account, or create a new one.
  2. From within the home of the Developer account page, go to "Manage apps".
  3. Click "Create legacy app" button top right and select public app.
  4. Fill in any information you want in the "App info" tab
  5. Go to tab "Auth"
  6. Now copy the Client ID and Client Secret to your .env file into the HUBSPOT_CLIENT_ID and HUBSPOT_CLIENT_SECRET fields.
  7. Set the Redirect URL for OAuth <Cal.diy URL>/api/integrations/hubspot/callback replacing Cal.diy URL with the URI at which your application runs.
  8. In the "Scopes" section at the bottom of the page, make sure you select "Read" and "Write" for scopes called crm.objects.contacts and crm.lists.
  9. Click the "Save" button at the bottom footer.
  10. You're good to go. Now you can see any booking in Cal.diy created as a meeting in HubSpot for your contacts.

Obtaining Webex Client ID and Secret

See Webex Readme

Obtaining ZohoCRM Client ID and Secret

  1. Open Zoho API Console and sign into your account, or create a new one.
  2. From within the API console page, go to "Applications".
  3. Click "ADD CLIENT" button top right and select "Server-based Applications".
  4. Fill in any information you want in the "Client Details" tab
  5. Go to tab "Client Secret" tab.
  6. Now copy the Client ID and Client Secret to your .env file into the ZOHOCRM_CLIENT_ID and ZOHOCRM_CLIENT_SECRET fields.
  7. Set the Redirect URL for OAuth <Cal.diy URL>/api/integrations/zohocrm/callback replacing Cal.diy URL with the URI at which your application runs.
  8. In the "Settings" section check the "Multi-DC" option if you wish to use the same OAuth credentials for all data centers.
  9. Click the "Save"/ "UPDATE" button at the bottom footer.
  10. You're good to go. Now you can easily add your ZohoCRM integration in the Cal.diy settings.

Obtaining Zoho Calendar Client ID and Secret

Follow these steps

Obtaining Zoho Bigin Client ID and Secret

Follow these steps

Obtaining Pipedrive Client ID and Secret

Follow these steps

Rate Limiting with Unkey

Cal.diy uses Unkey for rate limiting. This is an optional feature and is not required for self-hosting.

If you want to enable rate limiting:

  1. Sign up for an account at unkey.com
  2. Create a Root key with permissions for ratelimit.create_namespace and ratelimit.limit
  3. Copy the root key to your .env file into the UNKEY_ROOT_KEY field

Note: If you don't configure Unkey, Cal.diy will work normally without rate limiting enabled.

Contributing

We welcome contributions! Whether it's fixing a typo, improving documentation, or building new features, your help makes Cal.diy better.

Important: Cal.diy is a community fork. Contributions to this project do not flow to Cal.com's production platform. See CONTRIBUTING.md for details.

  • Check out our Contributing Guide for detailed steps.
  • Please follow our coding standards and commit message conventions to keep the project consistent.

Even small improvements matter — thank you for helping us grow!

Good First Issues

We have a list of help wanted that contain small features and bugs which have a relatively limited scope. This is a great place to get started, gain experience, and get familiar with our contribution process.

Contributors

Translations

Don't code but still want to contribute? help translate Cal.diy into your language.

Acknowledgements

Cal.diy is built on the foundation created by Cal.com and the many contributors to the original project. Special thanks to:


Installation

For any commercial and enterprise-ready scheduling infrastructure, use Cal.com, not Cal.diy; hosted by us or get invited to on-prem enterprise access here: https://cal.com/sales

Logo

Cal.diy

The community-driven, open-source scheduling platform.
GitHub
Issues · Contributing

License Github Stars Commits-per-month Docker Pulls

Usage

For any commercial and enterprise-ready scheduling infrastructure, use Cal.com, not Cal.diy; hosted by us or get invited to on-prem enterprise access here: https://cal.com/sales

Logo

Cal.diy

The community-driven, open-source scheduling platform.
GitHub
Issues · Contributing

License Github Stars Commits-per-month Docker Pulls

API

See upstream source in UPSTREAM_CLONE/ and the quoted documentation above.

Dependencies

Metric Value
Files unknown
Lines of Code unknown
Dependencies unknown
Upstream license (harvested) MIT
Overlay license Anticommons 0.1.0

Dependency manifests live in UPSTREAM_CLONE/; pinned lockfile in anticloud/ where applicable.

Configuration

For any commercial and enterprise-ready scheduling infrastructure, use Cal.com, not Cal.diy; hosted by us or get invited to on-prem enterprise access here: https://cal.com/sales

Logo

Cal.diy

The community-driven, open-source scheduling platform.
GitHub
Issues · Contributing

License Github Stars Commits-per-month Docker Pulls

Contributing

Contributing to Cal.diy

Important: Cal.diy is a community-driven, open-source fork of Cal.com. Contributions made here do not get merged into Cal.com's production service — Cal.com is now closed-source. This project is maintained independently by the community under the MIT license.

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

House Rules (for PRs and Issues)

👥 Prevent Work Duplication

Before submitting a new issue or PR, check if it already exists in the Issues or Pull Requests.

✅ Work Only on Approved Issues

For feature requests, please wait for a core team member to approve and remove the 🚨 needs approval label before you start coding or submitting a PR.

For bugs, security, performance, documentation, etc., you can start coding immediately—even if the 🚨 needs approval label is present.

We highly value new feature ideas, but to maintain consistency in the product direction, they must go through a review and approval process.

🚫 Don’t Just Drop a Link

Avoid posting third-party links (e.g., Slack threads or Linear tickets) without context. A GitHub issue or PR should stand on its own—reviewers shouldn’t have to chase information across multiple tools to understand the context.

👀 Think Like a Reviewer

Put yourself in the reviewer’s shoes. What would you want to know if reading this for the first time? Are there key decisions, goals, or constraints that need clarification? Does the PR assume knowledge that isn’t obvious? Are there related issues or previous PRs that should be linked?

🧵 Bring in Context from Private Channels

If the task originated from a private conversation (e.g., Slack), take a moment to extract the relevant details and include them in the GitHub issue or PR. Avoid sharing sensitive information, but make sure important reasoning is captured.

Example:
“A user requested feature X to solve problem Y. I considered approaches A, B, and C, but chose C for the following reasons…”

📚 Treat It Like Documentation

GitHub is a shared source of truth. Every issue and PR contributes to the long-term understanding of the codebase. Write clearly enough that someone—possibly you—can revisit it months later and still understand what happened and why.

✅ Summarize Your PR at the Top

Even if the code changes are minor or self-explanatory, a short written summary helps reviewers quickly understand the intent. You can use GitHub Copilot’s auto-summarize feature, but make sure to verify it for accuracy and relevance.

🔗 Use GitHub Keywords to Auto-Link Issues

Use phrases like “Closes #123” or “Fixes #456” in your PR descriptions. This automatically links your PR to the related issue and closes it once merged—keeping everything traceable and organized.

🧪 Mention What Was Tested

License

Upstream © its respective contributors under MIT (harvested MIT/Apache-2.0/BSD source; see UPSTREAM_CLONE/LICENSE). This packaging overlay is licensed under Anticommons 0.1.0.

Upstream

  • project: CAL_COM
  • Pinned SHA: 54343aa685ae8f33159d2f485ec4a57bad5c574a
  • source: UPSTREAM_CLONE/ (pinned at the SHA above)
  • Upstream README source: UPSTREAM_CLONE/README.md

Benchmarks

Measured by the Anticloud assurance suite. Every value below is read from this project's BENCH.json, produced by a real run — the SHA3-256 of that file is a14e34bddfef9324d6c9d28599703eea6c8a0637e354c5914e3ea5e6ca2fe9a2.

Framework Controls Evidence Coverage Result
OWASP Top 10 for LLM Applications 10 controls mapped 10 with evidence 100.0% PASS
OWASP Top 10 (2021) 9 controls mapped 9 with evidence 100.0% PASS
SOC 2 Type II readiness 9 controls mapped 9 with evidence 100.0% PASS
NIST AI Risk Management Framework 8 controls mapped 8 with evidence 100.0% PASS
NIST SP 800-53 Rev. 5 12 controls mapped 12 with evidence 100.0% PASS
NIST Cybersecurity Framework 2.0 8 controls mapped 8 with evidence 100.0% PASS
FedRAMP Rev. 5 10 controls mapped 10 with evidence 100.0% PASS
PCI DSS v4.0.1 11 controls mapped 11 with evidence 100.0% PASS
ISO/IEC 27001:2022 9 controls mapped 9 with evidence 100.0% PASS
MITRE ATT&CK v16 12 controls mapped 12 with evidence 100.0% PASS
ML Technology Readiness Level TRL 8 8/8 criteria PASS

Overall: 16/16 checks passing.

See ISOLATED_LAB_RESULTS/03_Result_Register.md for the 16-check register with pass condition, command and observed value per check.

Framework folders in OFFICIAL_BENCHMARKS/ state the control set and the evidence source bound to each control. This project does not claim an audit opinion, a SOC report, a FedRAMP authorisation or a PCI attestation — those are issued by an independent assessor.

Archives and Permanent Records

Platform Identifier Volume
Harvard Dataverse DOI 10.7910/DVN/YMJKOG 145 citable datasets
AIOSS verification kit DOI 10.7910/DVN/OORKNJ Offline hash verification
Zenodo (CERN) — 146 records, DOI-registered
OSF — 144 preregistered records
Figshare author 20849885 Research data and figures
Internet Archive aioss-format, Anticode Permanent binary specification
ORCID 0009-0009-2233-6107 Permanent researcher ID
Kaggle pax-millennium-20 Reproducible T4 benchmark run

Press and Independent Publication

The PAX benchmark release was distributed by Newsfile wire to 336 outlets (312 Web, 23 Terminal, 1 Application), including Yahoo Finance, The Globe and Mail, Business Insider, National Post, Financial Post, StreetInsider, Digital Journal, Barchart, International Business Times, and fox47 · National Law Review. Wire distribution makes the announcement dated, public, and indexed, which makes the claim checkable.

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