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]
platform: string
all_passed: bool
root: string
version: string
failed_ids: list<item: null>
  child 0, item: null
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
failed: int64
schema: string
total: int64
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: int64
          child 7, method: string
          child 8, test_to_source_line_ratio: double
          child 9, total_lines: int64
          child 10
...
l>
                  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
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
sbom_written: bool
passed: int64
python: 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'), '
...
Value('string'), 'evidence_path': Value('string'), 'present': Value('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')}}}
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]
              platform: string
              all_passed: bool
              root: string
              version: string
              failed_ids: list<item: null>
                child 0, item: null
              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
              failed: int64
              schema: string
              total: int64
              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: int64
                        child 7, method: string
                        child 8, test_to_source_line_ratio: double
                        child 9, total_lines: int64
                        child 10
              ...
              l>
                                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
              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
              sbom_written: bool
              passed: int64
              python: 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'), '
              ...
              Value('string'), 'evidence_path': Value('string'), 'present': Value('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')}}}
              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.

MATOMO

license offline-first audit category

Anticloud-hardened packaging of the upstream project MATOMO in category MARKETING TOOLS. Upstream source is vendored in UPSTREAM_CLONE/ at the pinned commit below; the 12-improvement overlay lives in anticloud/. Every fact in this file traces to a file on disk in this project directory.

Category: MARKETING TOOLS · Upstream: https://github.com/matomo-org/matomo-sdk-ios · Upstream pin: f140afcb7cedebdcbf8b8230fdd822b4b61e3685 · Vendor: Anticloud FZ LLE


What This Project Does

MatomoTracker (former PiwikTracker) iOS SDK

The MatomoTracker is an iOS, tvOS and macOS SDK for sending app analytics to a Matomo server. MatomoTracker can be used from Swift and Objective-C.

Fancy help improve this SDK? Check this list to see what is left and can be improved.

Installation

The MatomoTracker can be installed via CocoaPods, Carthage and the Swift Package Manager. In every file you want to use the MatomoTracker, don't forget to import the framework with import MatomoTracker.

CocoaPods

Use the following in your Podfile.

pod 'MatomoTracker', '~> 7.8'

Then run pod install.

Carthage

Carthage is a non intrusive way to install MatomoTracker to your project. It makes no changes to your Xcode project and workspace. Add the following to your Cartfile:

github "matomo-org/matomo-sdk-ios"
Swift Package Manager

You can use the Swift Package Manager as integration method. If you want to use the Swift Package Manager as integration method, either use Xcode to add the package dependency or add the following dependency to your Package.swift:

.package(url: "https://github.com/matomo-org/matomo-sdk-ios.git", from: "v7.8.0"),

and in your dependencies:

.product(name: "MatomoTracker", package: "matomo-sdk-ios")

Usage

Matomo Instance

The Matomo iOS SDK doesn't provide a instance of the PiwikTracker. In order to be able to track data you have to create an instance first.

let matomoTracker = MatomoTracker(siteId: "23", baseURL: URL(string: "https://demo2.matomo.org/piwik.php")!)

The siteId is the ID that you can get if you add a website within the Matomo web interface. The baseURL it the URL to your Matomo web instance and has to include the "piwik.php" or "matomo.php" string.

You can either pass around this instance, or add an extension to the MatomoTracker class and add a shared instance property.

extension MatomoTracker {
    static let shared: MatomoTracker = MatomoTracker(siteId: "1", baseURL: URL(string: "https://example.com/piwik.php")!)
}

The siteId is the ID that you can get if you add a website within the Matomo web interface. The baseURL is the URL to your Matomo web instance and has to include the "piwik.php" or "matomo.php" string.

You can use multiple instances within one application.

Opting Out

The MatomoTracker SDK supports opting out of tracking. Please use the isOptedOut property of the MatomoTracker to define if the user opted out of tracking.

matomoTracker.isOptedOut = true

Tracking Page Views

The MatomoTracker can track hierarchical screen names, e.g. screen/settings/register. Use this to create a hierarchical and logical grouping of screen views in the Matomo web interface.

matomoTracker.track(view: ["path","to","your","page"])

You can also set the url of the page.

let url = URL(string: "https://matomo.org/get-involved/")
matomoTracker.track(view: ["community","get-involved"], url: url)

Tracking Events

Events can be used to track user interactions such as taps on a button. An event consists of four parts:

  • Category
  • Action
  • Name (optional, recommended)
  • Value (optional)
matomoTracker.track(eventWithCategory: "player", action: "slide", name: "volume", value: 35.1)

This will log that the user slid the volume slider on the player to 35.1%.

Tracking search

The MatomoTracker can track how users use your app internal search. You can track what keywords were searched for, what categories they use, the number of results for a certain search and what searches resulted in no results.

matomoTracker.trackSearch(query: "Best mobile tracking", category: "Technology", resultCount: 15)

Custom Dimension

The Matomo SDK currently supports Custom Dimensions for the Visit Scope. Using Custom Dimensions you can add properties to the whole visit, such as "Did the user finish the tutorial?", "Is the user a paying user?" or "Which version of the Application is being used?" and such. Before sending custom dimensions please make sure Custom Dimensions are properly installed and configured. You will need the ID of your configured Dimension.

After that you can set a new Dimension,

matomoTracker.set(value: "1.0.0-beta2", forIndex: 1)

or remove an already set dimension.

matomoTracker.remove(dimensionAtIndex: 1)

Dimensions in the Visit Scope will be sent along every Page View or Event. Custom Dimensions are not persisted by the SDK and have to be re-configured upon application startup.

Custom User ID

To add a custom User ID, simply set the value you'd like to use on the userId field of the tracker:

matomoTracker.userId = "coolUsername123"

All future events being tracked by the SDK will be associated with this userID, as opposed to the default UUID created for each Visitor.

Custom Visitor ID persisted on app starts

MatomoTracker will generate an _id upon first usage and will use this value to recognize the current visitor. This _id is persisted over app starts.

If you want to set your own visitor id, you can set your own visitor id with the forcedVisitorId field. Make sure you use a 16 character long hexadecimal string. The forcedVisitorId is persisted over app starts.

matomoTracker.forcedVisitorId = "0123456789abcdef"

Because the SDK persists this visitor id on app start, then

(excerpt; full text in UPSTREAM_CLONE/)

Quoted from the upstream README.md file in UPSTREAM_CLONE/. Project-specific facts detected in this directory:

  • Ecosystem: Ruby / Bundler (manifests: Gemfile, Gemfile.lock; scanned in UPSTREAM_CLONE)
  • Top-level source layout: Example/, MatomoTracker/, MatomoTracker.xcodeproj/, MatomoTracker.xcworkspace/, MatomoTrackerTests/
  • Snapshot size: 131 files, 3194 lines of code (measured; see Benchmarks)
  • Primary languages: .swift (54), .json (20), .h (8), (none) (7), .m (7), .plist (6)
  • Upstream commit pinned for this packaging: f140afcb7cedebdcbf8b8230fdd822b4b61e3685

Installation

The MatomoTracker can be installed via CocoaPods, Carthage and the Swift Package Manager. In every file you want to use the MatomoTracker, don't forget to import the framework with import MatomoTracker.

CocoaPods

Use the following in your Podfile.

pod 'MatomoTracker', '~> 7.8'

Then run pod install.

Carthage

Carthage is a non intrusive way to install MatomoTracker to your project. It makes no changes to your Xcode project and workspace. Add the following to your Cartfile:

github "matomo-org/matomo-sdk-ios"
Swift Package Manager

You can use the Swift Package Manager as integration method. If you want to use the Swift Package Manager as integration method, either use Xcode to add the package dependency or add the following dependency to your Package.swift:

.package(url: "https://github.com/matomo-org/matomo-sdk-ios.git", from: "v7.8.0"),

and in your dependencies:

.product(name: "MatomoTracker", package: "matomo-sdk-ios")

Section quoted from the upstream readme. Overlay install (this project):

python -m pip install -e anticloud/     # overlay package with the 12 improvements
python anticloud/cli.py --help          # 13 subcommands, JSON stdout

Usage

CocoaPods

Use the following in your Podfile.

pod 'MatomoTracker', '~> 7.8'

Then run pod install.

Carthage

Carthage is a non intrusive way to install MatomoTracker to your project. It makes no changes to your Xcode project and workspace. Add the following to your Cartfile:

github "matomo-org/matomo-sdk-ios"
Swift Package Manager

You can use the Swift Package Manager as integration method. If you want to use the Swift Package Manager as integration method, either use Xcode to add the package dependency or add the following dependency to your Package.swift:

.package(url: "https://github.com/matomo-org/matomo-sdk-ios.git", from: "v7.8.0"),

and in your dependencies:

.product(name: "MatomoTracker", package: "matomo-sdk-ios")

Section quoted from the upstream readme. Anticloud overlay CLI (available in every project):

python anticloud/cli.py --help     # 13 subcommands, JSON stdout
python anticloud/cli.py checks     # run the 16-check suite

API

You can either pass around this instance, or add an extension to the MatomoTracker class and add a shared instance property.

extension MatomoTracker {
    static let shared: MatomoTracker = MatomoTracker(siteId: "1", baseURL: URL(string: "https://example.com/piwik.php")!)
}

The siteId is the ID that you can get if you add a website within the Matomo web interface. The baseURL is the URL to your Matomo web instance and has to include the "piwik.php" or "matomo.php" string.

You can use multiple instances within one application.

Section quoted from the upstream readme.

Dependencies

Metric Value
Ecosystem Ruby / Bundler
Manifests detected Gemfile, Gemfile.lock
Files in snapshot 131
Lines of code 3194
Dependency references 0
Upstream license MIT
Overlay license Anticommons 0.1.0

Pinned lockfile: anticloud/requirements.lock (hash-pinned, PEP 508). SBOM: sbom.cdx.json (CycloneDX 1.5, pinned to the upstream SHA).


Configuration

matomoTracker.track(view: ["path","to","your","page"])

You can also set the url of the page.

let url = URL(string: "https://matomo.org/get-involved/")
matomoTracker.track(view: ["community","get-involved"], url: url)

Section quoted from the upstream readme. Overlay configuration (Anticloud):

  • anticloud/ - improvement overlay; environment-driven, no cloud dependency
  • LEDGERS/ - aioss tamper-evident chain files (per-project, verified with aioss verify --live)
  • ISOLATED_LAB_RESULTS/ - reproducibility record (environment, reproduction steps, result register, evidence)
  • OFFICIAL_BENCHMARKS/ - 26 framework assessments for this project

Contributing

Excerpt from upstream CONTRIBUTING.md:

How can I contribute?

Welcome! We are very happy to have you here. There are always too many things to do and not enough volunteers to help. So please join! This document collect things we need help with and act as a guideline.

Reporting bugs

Did you find a bug? Bummer! Please help us find the reason and fix them.

  • Search on GitHub under Issues if it was already reported. Maybe you can add information to it?
  • If you're unable to find an open issue addressing the problem, please open a new one. Please explain your problem and include as much detail as you can as they might help the maintainers to reproduce it:
    • A clear and descriptive title.
    • Describe your issue and add exact steps to reproduce the issue. You found a crash? Please attach a symbolicated crash report.
    • If possible add a few lines of code or possibly even an example project.

Discussing

We love to discuss changes and improvements. If there is functionality you want to add or improve please open an issue and describe what you want to do, why and how. Maybe the feature already exists but is hidden? Maybe somebody wants to add ideas on how to implement it.

You are always welcome to add your thoughts to an existing issue in discussion.

Submitting changes

When contributing to this project, please first discuss the change you wish to make via an issue before making a change.

If you implemented a change please send a Pull Request with a clear list of what you have done. Try to only tackle one thing a time. This will lead to smaller pull requests that are easier to review.

Contributing Code

You want to contribute code? Awesome. Here are some tips that should get you started.

  1. Check out the project
  2. Install the CocoaPods by running pod install from the checked out folder
  3. Open the Workspace in Xcode

Adding code to the SDK

In the Workspace you will find the MatomoTracker Project. Inside of it there is a folder for the SDK code and one for the Tests. Tests can be run from the MatomoTracker scheme.

Adding example code

All the example code can be found in the Workspace, in the Examples folder. There is a scheme for every example application

Overlay contributions: run the 16-check suite before opening a pull request:

python anticloud/bench/runner.py --cwd anticloud

License

Upstream license: MIT (evidence: LICENSE.md in the upstream snapshot).

License file excerpt:

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Anticommons 0.1.0 overlay

The Anticloud integration overlay in anticloud/ - improvements 1 through 12 listed under Benchmarks - is licensed under Anticommons 0.1.0. Upstream code remains under its original MIT terms. See ANTICOMMONS_LICENSE.md in this directory for the overlay terms and contact.

SPDX: MIT (upstream) + Anticommons 0.1.0 (overlay, dual).


Upstream

  • Project: MATOMO (category: MARKETING TOOLS)
  • Upstream URL: https://github.com/matomo-org/matomo-sdk-ios
  • Pinned commit (SHA): f140afcb7cedebdcbf8b8230fdd822b4b61e3685
  • Branch: develop
  • Pin provenance: GitHub API commits/develop. The parent-project stamp is explicitly rejected for this project.
  • Snapshot location: UPSTREAM_CLONE/ (vendored, not shipped as-is)
  • Benchmark snapshot: BENCH.json

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 3db611c71a7a53353070251c2e60f1009f36cf7a66af7c6ffc7bfee3147b0cc1.

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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