Hugging Face's logo

Datasets:
Anticloud
/
anticloud-openmct

Dataset card Files
xet
 Community
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]
all_passed: bool
platform: string
failed: int64
total: int64
passed: 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, a_licences: list<item: string>
              child 0, item: string
          child 11, b_licences: list<item: string>
              child 0, item: string
          child 12, default_for_unknown_is_C: bool
          child 13, mismatches: struct<>
          child 14, observed: struct<agpl3: string, apache2:
...
d 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
version: string
python: string
sbom_written: bool
schema: 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
failed_ids: list<item: null>
  child 0, item: null
root: 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
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]
              all_passed: bool
              platform: string
              failed: int64
              total: int64
              passed: 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, a_licences: list<item: string>
                            child 0, item: string
                        child 11, b_licences: list<item: string>
                            child 0, item: string
                        child 12, default_for_unknown_is_C: bool
                        child 13, mismatches: struct<>
                        child 14, observed: struct<agpl3: string, apache2:
              ...
              d 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
              version: string
              python: string
              sbom_written: bool
              schema: 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
              failed_ids: list<item: null>
                child 0, item: null
              root: 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
              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.

OPENMCT

license offline-first audit category

Anticloud-hardened packaging of the upstream project OPENMCT in category SPACE AEROTECH. 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: SPACE AEROTECH · Upstream: https://github.com/nasa/openmct · Upstream pin: 17d55deb4af5ba6d1a65a661b9f2f02582d3fe7b · Vendor: Anticloud FZ LLE

What This Project Does

Open MCT license codecov This project is using Percy.io for visual regression testing. npm version CodeQL

Open MCT (Open Mission Control Technologies) is a next-generation mission control framework for visualization of data on desktop and mobile devices. It is developed at NASA's Ames Research Center, and is being used by NASA for data analysis of spacecraft missions, as well as planning and operation of experimental rover systems. As a generalizable and open source framework, Open MCT could be used as the basis for building applications for planning, operation, and analysis of any systems producing telemetry data.

Please visit our Official Site and Getting Started Guide

Once you've created something amazing with Open MCT, showcase your work in our GitHub Discussions Show and Tell section. We love seeing unique and wonderful implementations of Open MCT!

Screen Shot 2022-11-23 at 9 51 36 AM

Building and Running Open MCT Locally

Building and running Open MCT in your local dev environment is very easy. Be sure you have Git and Node.js installed, then follow the directions below. Need additional information? Check out the Getting Started page on our website. (These instructions assume you are installing as a non-root user; developers have reported issues running these steps with root privileges.)

  1. source the source code:
git source https://github.com/nasa/openmct.git
  1. (Optional) Install the correct node version using nvm:
nvm install
  1. Install development dependencies (Note: Check the package.json engine for our tested and supported node versions):
npm install
  1. Run a local development server:
npm start

Open MCT is now running, and can be accessed by pointing a web browser at http://localhost:8080/

Open MCT is built using npm and webpack.

Documentation

Documentation is available on the Open MCT website.

Examples

The clearest examples for developing Open MCT plugins are in the tutorials provided in our documentation.

We want Open MCT to be as easy to use, install, run, and develop for as possible, and your feedback will help us get there! Feedback can be provided via GitHub issues, Starting a GitHub Discussion, or by emailing us at arc-dl-openmct@mail.nasa.gov.

Developing Applications With Open MCT

For more on developing with Open MCT, see our documentation for a guide on Developing Applications with Open MCT.

Compatibility

This is a fast moving project and we do our best to test and support the widest possible range of browsers, operating systems, and NodeJS APIs. We have a published list of support available in our package.json's browserslist key.

The project utilizes nvm to maintain consistent node and npm versions across all projects. For UNIX, MacOS, Windows WSL, and other POSIX-compliant shell environments, click here. For Windows, check out nvm-windows.

If you encounter an issue with a particular browser, OS, or NodeJS API, please file an issue.

If you are building a project with Open MCT as a git dependency rather than an npm dependency, an extra step is now necessary to build the source. Due to the threat posed by Supply Chain Attacks ignore-scripts is now enabled in this project. Developers building with Open MCT as a git dependency will now need to execute npm run build manually. We always encourage developers to use Open MCT as a prebuilt npm project, rather than building from github.

Plugins

Open MCT can be extended via plugins that make calls to the Open MCT API. A plugin is a group of software components (including source code and resources such as images and HTML templates) that is intended to be added or removed as a single unit.

As well as providing an extension mechanism, most of the core Open MCT codebase is also written as plugins.

For information on writing plugins, please see our API documentation.

Tests

Our automated test coverage comes in the form of unit, e2e, visual, performance, and security tests.

Unit Tests

Unit Tests are written for Jasmine and run by Karma. To run:

npm test

The test suite is configured to load any scripts ending with Spec.js found in the src hierarchy. Full configuration details are found in karma.conf.js. By convention, unit test scripts should be located alongside the units that they test; for example, src/foo/Bar.js would be tested by src/foo/BarSpec.js.

e2e,

(excerpt; full text in UPSTREAM_CLONE/)

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

  • Ecosystem: Node.js / npm (manifests: package.json, package-lock.json; scanned in UPSTREAM_CLONE)
  • Top-level source layout: e2e/, example/, src/
  • Snapshot size: 1090 files, 86649 lines of code (measured; see Benchmarks)
  • Primary languages: .js (623), .vue (261), .scss (89), .json (29), .md (23), .yml (15)
  • Upstream commit pinned for this packaging: 17d55deb4af5ba6d1a65a661b9f2f02582d3fe7b

Installation

Please visit our Official Site and Getting Started Guide

Once you've created something amazing with Open MCT, showcase your work in our GitHub Discussions Show and Tell section. We love seeing unique and wonderful implementations of Open MCT!

Screen Shot 2022-11-23 at 9 51 36 AM

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

Once you've created something amazing with Open MCT, showcase your work in our GitHub Discussions Show and Tell section. We love seeing unique and wonderful implementations of Open MCT!

Screen Shot 2022-11-23 at 9 51 36 AM

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

Documentation is available on the Open MCT website.

Section quoted from the upstream readme.

Dependencies

Metric Value
Ecosystem Node.js / npm
Manifests detected package.json, package-lock.json
Files in snapshot 1090
Lines of code 86649
Dependency references 85
Dependencies by ecosystem npm: 85
Upstream license Apache-2.0
Overlay license Anticommons 0.1.0

Top dependency references recorded in the benchmark snapshot:

Ecosystem Name Version Source file
npm @babel/eslint-parser 7.23.3 package.json
npm @braintree/sanitize-url 7.1.1 package.json
npm @types/d3-axis 3.0.6 package.json
npm @types/d3-scale 4.0.8 package.json
npm @types/d3-selection 3.0.10 package.json
npm @types/d3-shape 3.1.7 package.json
npm @types/eventemitter3 1.2.0 package.json
npm @types/jasmine 5.1.2 package.json
npm @types/lodash 4.17.0 package.json
npm @vue/compiler-sfc 3.4.3 package.json
npm babel-loader 9.1.0 package.json
npm babel-plugin-istanbul 7.0.0 package.json
npm comma-separated-values 3.6.4 package.json
npm copy-webpack-plugin 14.0.0 package.json
npm cspell 7.3.8 package.json
... (70 more)

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

Configuration

(These instructions assume you are installing as a non-root user; developers have reported issues running these steps with root privileges.)

  1. source the source code:
git source https://github.com/nasa/openmct.git
  1. (Optional) Install the correct node version using nvm:
nvm install
  1. Install development dependencies (Note: Check the package.json engine for our tested and supported node versions):
npm install
  1. Run a local development server:
npm start

Open MCT is now running, and can be accessed by pointing a web browser at http://localhost:8080/

Open MCT is built using npm and webpack.

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:

Contributing to Open MCT

This document describes the process of contributing to Open MCT as well as the standards that will be applied when evaluating contributions.

In order for external contributions to be merged, contributors must have on record a signed Contributor License Agreement (CLA). More information on this process can be found in this discussion.

Summary

The short version:

  1. Write your contribution or describe your idea in the form of a GitHub issue or start a GitHub discussion.
  2. Make sure your contribution meets code, test, and commit message standards as described below.
  3. Submit a pull request from a topic branch back to master. Include a check list, as described below. (Optionally, assign this to a specific member for review.)
  4. Respond to any discussion. When the reviewer decides it's ready, they will merge back master and fill out their own check list.
  5. If you are a first-time contributor, please see this discussion for further information.

Contribution Process

Open MCT uses git for software version control, and for branching and merging. The central project is at https://github.com/nasa/openmct.git.

Roles

References to roles are made throughout this document. These are not intended to reflect titles or long-term job assignments; rather, these are used as descriptors to refer to members of the development team performing tasks in the check-in process.

These roles are:

  • Author: The individual who has made changes to files in the software project, and wishes to check these in.
  • Reviewer: The individual who reviews changes to files before they are checked in.
  • Integrator: The individual who performs the task of merging these files. Usually the reviewer.

Branching

Three basic types of branches may be included in the above project:

  1. Master branch
  2. Topic branches
  3. Developer branches

Branches which do not fit into the above categories may be created and used during the course of development for various reasons, such as large-scale refactoring of code or implementation of complex features which may cause instability. In these exceptional cases it is the responsibility of the developer who initiates the task which

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

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

License

Upstream license: Apache-2.0 (evidence: LICENSE.md in the upstream snapshot).

License file excerpt:

# Open MCT License

Open MCT, Copyright (c) 2014-2024, United States Government as represented by the Administrator of the National Aeronautics and Space Administration. All rights reserved.

Open MCT is licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License.  You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0.

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

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 Apache-2.0 terms. See ANTICOMMONS_LICENSE.md in this directory for the overlay terms and contact.

SPDX: Apache-2.0 (upstream) + Anticommons 0.1.0 (overlay, dual).

Upstream

  • Project: OPENMCT (category: SPACE AEROTECH)
  • Upstream URL: https://github.com/nasa/openmct
  • Pinned commit (SHA): 17d55deb4af5ba6d1a65a661b9f2f02582d3fe7b
  • Branch: master
  • Pin provenance: resolved during the second documentation pass. 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 4918e221a534ab957265ec7f1c645917ec101d6d223d30ad6fdd6c99a9cbaf02.

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.
Downloads last month
103
Total file size:
63.6 kB