Public recordGood
Software health reportschema 0.11.0 · metrics 1.13.0 · 2026-07-15 02:55 UTC
pytorch / rl
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
pytorch/rl holds a health index of 79 out of 100, placing it in the Good band. It scores highest on Vitality (94/100) and lowest on Security (46/100). It was last updated today. A single contributor accounts for most of its recent work.
79
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
79
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
Score profile
Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.
Ownership
pytorchOrganization
13,385 followers70 public repossince Aug 2016
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish | Tags |
|---|---|---|---|---|---|---|
| PyPI | torchrl | 0.13.3 | - | 34 | 0 days ago | reinforcement-learningpytorchrlmachine-learning |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
94
Development activity
97Excellent
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 33.2/36 | Commit cadence — 48/52 weeks with commits |
| 18/18 | Commit volume — 678 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 678 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 48 |
Release discipline
90Excellent
How it's scored
| 27/27 | Ships releases — 35 releases published |
| 36/36 | Release recency — latest release 0 days ago |
| 27/27 | Release cadence — a release every ~40.2 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Inputs used
| releases_count | 35 |
| latest_release_tag | v0.13.3 |
| releases_from_tags | no |
| days_since_latest_release | 0 |
| mean_days_between_releases | 40.2 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
90
Popularity & adoption
89Excellent
How it's scored
| 57.5/60 | Stars — 3,491 stars |
| 22.2/25 | Forks — 468 forks |
| 9.1/15 | Watchers — 44 watchers |
Inputs used
| forks | 468 |
| stars | 3,491 |
| watchers | 44 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
92Excellent
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 18/18 | CONTRIBUTING guide |
| 13.5/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 6.3/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | yes |
| has_pull_request_template | yes |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
70
Maintainer resilience (bus factor)
41At risk
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 8.3/22.5 | Commit distribution — top contributor authored 63% of commits |
| 13.5/13.5 | Contributor breadth — 100 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 21 contributing companies or organizations |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 100 |
| top_contributor_share | 0.631 |
How it's scored
| 35.8/46.8 | Issue resolution — 77% of issues closed |
| 33.8/38.3 | PR acceptance — 2,684/3,035 decided PRs merged |
| 1.5/15 | OpenSSF Scorecard: Code-Review — Found 4/29 approved changesets -- score normalized to 1 |
Inputs used
| merged_prs | 2,684 |
| open_issues | 192 |
| closed_issues | 629 |
| issue_closed_ratio | 0.766 |
| closed_unmerged_prs | 351 |
Ownership & stewardship
80Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 25/25 | Owner reach — 13,385 followers of pytorch |
| 25/25 | Track record — 70 public repos, account ~9 yr old |
Inputs used
| followers | 13,385 |
| owner_type | Organization |
| is_verified | — |
| owner_login | pytorch |
| public_repos | 70 |
| account_age_days | 3,622 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 0 days ago |
| 20/20 | Version history — 34 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | torchrl |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 0 |
Engineering Quality
Are baseline engineering and documentation practices in place?
92
Engineering practices
94Excellent
How it's scored
| 24/24 | CI workflows — 28 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 14 out of 14 merged PRs checked by a CI test -- score normalized to 10 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | yes |
| has_precommit_config | yes |
Documentation
90Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://pytorch.org/rl |
| 10/10 | Repository description |
| 10/10 | Topics — 13 topics |
| 0/10 | Wiki |
Inputs used
| topics | ai, control, decision-making, distributed-computing, machine-learning, marl, model-based-reinforcement-learning, multi-agent-reinforcement-learning, pytorch, reinforcement-learning, rl, robotics, torch |
| has_wiki | no |
| homepage | https://pytorch.org/rl |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
46
Security posture
46At risk
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 2.5/2.5 | CI-Tests — 14 out of 14 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0.8/7.5 | Code-Review — Found 4/29 approved changesets -- score normalized to 1 |
| 2.5/2.5 | Contributors — project has 21 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 3/5 | SAST — SAST tool is not run on all commits -- score normalized to 6 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 16 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 18 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 0 |
| scorecard_aggregate | 4.6 |
AI Readiness
How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.
71
Agent context & guidance
75Good
How it's scored
| 45/45 | Agent instructions — AGENTS.md, CLAUDE.md |
| 0/15 | Machine-readable docs (llms.txt) |
| 0/40 | Legible commit history — no data |
Inputs used
| has_llms_txt | no |
| legible_history_share | — |
| agent_instruction_files | AGENTS.md, CLAUDE.md |
| agent_instruction_max_bytes | 8,363 |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
| 18/18 | One-command bootstrap — Makefile, docs/Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config |
| 11/11 | Static type checking — mypy.ini |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | Makefile, docs/Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | mypy.ini |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
How it's scored
| 27/45 | Type-checkable code — Python with type-check config (mypy.ini) |
| 51/55 | Manageable file sizes — 58/796 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 298,120 |
| source_files_sampled | 796 |
| oversized_source_files | 58 |
Machine-readable interfaces
40At risk
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — examples, recipes |
Inputs used
| example_dirs | examples, recipes |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
3,491GitHub stars
100contributors
678commits, last 12 months
0days since last push
35releases
1bus factor
192open issues
PyPIpackage ecosystems
More detail
OpenSSF Scorecard 4.6 / 10
4.6aggregate
Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 10 | CI-Tests | 14 out of 14 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 1 | Code-Review | Found 4/29 approved changesets -- score normalized to 1 |
| 10 | Contributors | project has 21 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 6 | SAST | SAST tool is not run on all commits -- score normalized to 6 |
| 0 | Security-Policy | security policy file not detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 16 existing vulnerabilities detected |
Direct dependencies 7
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | torch | >=2.1.0 | pyproject.toml |
| PyPI | pyvers | >=0.2.3 | pyproject.toml |
| PyPI | hoptorch | >=0.1.4 | pyproject.toml |
| PyPI | numpy | — | pyproject.toml |
| PyPI | packaging | — | pyproject.toml |
| PyPI | cloudpickle | — | pyproject.toml |
| PyPI | tensordict | >=0.13.0,<0.14.0 | pyproject.toml |
All dependencies 103
Full resolved dependency set from the GitHub dependency graph: 9 direct and 94 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | cloudpickle | — | direct |
| PyPI | hoptorch | — | direct |
| PyPI | numpy | — | direct |
| PyPI | packaging | — | direct |
| PyPI | pyvers | — | direct |
| PyPI | tensordict | 0.9.0 | direct |
| PyPI | tensordict | — | direct |
| PyPI | torch | 2.12.0 | direct |
| PyPI | torch | — | direct |
| PyPI | accelerate | 1.7.0 | indirect |
| PyPI | accelerate | — | indirect |
| PyPI | ale-py | — | indirect |
| PyPI | bitsandbytes | 0.46.0 | indirect |
| PyPI | bitsandbytes | — | indirect |
| PyPI | coverage | — | indirect |
| PyPI | datasets | 3.6.0 | indirect |
| PyPI | datasets | — | indirect |
| PyPI | dm-control | — | indirect |
| PyPI | docutils | — | indirect |
| PyPI | expecttest | — | indirect |
| PyPI | future | — | indirect |
| PyPI | gymnasium | — | indirect |
| PyPI | gymnasium-robotics | — | indirect |
| PyPI | hydra-core | — | indirect |
| PyPI | hydra-core | 1.3.2 | indirect |
| PyPI | hydra-submitit-launcher | — | indirect |
| PyPI | hypothesis | — | indirect |
| PyPI | imageio | — | indirect |
| PyPI | immutabledict | 4.2.1 | indirect |
| PyPI | immutabledict | — | indirect |
| PyPI | ipython | — | indirect |
| PyPI | jax | — | indirect |
| PyPI | jinja2 | 3.1.4 | indirect |
| PyPI | langdetect | 1.0.9 | indirect |
| PyPI | langdetect | — | indirect |
| PyPI | lerobot | — | indirect |
| PyPI | matplotlib | — | indirect |
| PyPI | memory-profiler | — | indirect |
| PyPI | minari | — | indirect |
| PyPI | mujoco | — | indirect |
| PyPI | myst-parser | — | indirect |
| PyPI | nltk | 3.9.4 | indirect |
| PyPI | nltk | — | indirect |
| PyPI | omegaconf | — | indirect |
| PyPI | onnx | — | indirect |
| PyPI | onnxruntime | — | indirect |
| PyPI | onnxscript | — | indirect |
| PyPI | open-spiel | — | indirect |
| PyPI | opencv-python-headless | — | indirect |
| PyPI | pandas | — | indirect |
| PyPI | peft | 0.15.2 | indirect |
| PyPI | peft | — | indirect |
| PyPI | pettingzoo | — | indirect |
| PyPI | pillow | — | indirect |
| PyPI | playwright | — | indirect |
| PyPI | procgen | — | indirect |
| PyPI | psutil | — | indirect |
| PyPI | pybind11 | — | indirect |
| PyPI | pygame | — | indirect |
| PyPI | pyglet | — | indirect |
| PyPI | pytest | — | indirect |
| PyPI | pytest-asyncio | — | indirect |
| PyPI | pytest-benchmark | — | indirect |
| PyPI | pytest-cov | — | indirect |
| PyPI | pytest-error-for-skips | — | indirect |
| PyPI | pytest-instafail | — | indirect |
| PyPI | pytest-mock | — | indirect |
| PyPI | pytest-rerunfailures | — | indirect |
| PyPI | pytest-timeout | — | indirect |
| PyPI | pytest-xdist | — | indirect |
| PyPI | pytorch-sphinx-theme2 | — | indirect |
| PyPI | pyyaml | — | indirect |
| PyPI | ray | 2.55.0 | indirect |
| PyPI | ray | — | indirect |
| PyPI | requests | — | indirect |
| PyPI | safetensors | — | indirect |
| PyPI | safety-gymnasium | — | indirect |
| PyPI | scipy | — | indirect |
| PyPI | sentencepiece | — | indirect |
| PyPI | setuptools | — | indirect |
| PyPI | sphinx | — | indirect |
| PyPI | sphinx-autodoc-typehints | — | indirect |
| PyPI | sphinx-copybutton | — | indirect |
| PyPI | sphinx-design | — | indirect |
| PyPI | sphinx-gallery | — | indirect |
| PyPI | sphinx-serve | 1.0.1 | indirect |
| PyPI | sphinxcontrib-htmlhelp | — | indirect |
| PyPI | sphinxcontrib-video | — | indirect |
| PyPI | tenacity | — | indirect |
| PyPI | tiktoken | — | indirect |
| PyPI | torchcodec | — | indirect |
| PyPI | torchvision | — | indirect |
| PyPI | tqdm | 4.67.1 | indirect |
| PyPI | tqdm | — | indirect |
| PyPI | transformers | 5.5.0 | indirect |
| PyPI | transformers | — | indirect |
| PyPI | vllm | 0.22.0 | indirect |
| PyPI | vllm | — | indirect |
| PyPI | vmas | — | indirect |
| PyPI | wandb | 0.19.11 | indirect |
| PyPI | wandb | — | indirect |
| PyPI | xformers | 0.0.30 | indirect |
| PyPI | xformers | — | indirect |
Raw JSON report machine-readable
{
"data": {
"repo": {
"topics": [
"ai",
"control",
"decision-making",
"distributed-computing",
"machine-learning",
"marl",
"model-based-reinforcement-learning",
"multi-agent-reinforcement-learning",
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"robotics",
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"Makefile": 676,
"Batchfile": 8746,
"PowerShell": 1663
},
"pushed_at": "2026-07-14T18:24:42Z",
"created_at": "2022-02-01T17:17:36Z",
"owner_type": "Organization",
"updated_at": "2026-07-14T23:15:52Z",
"description": "A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.",
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},
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"days_since_last_push": 0,
"active_weeks_last_year": 48,
"days_since_latest_release": 0,
"mean_days_between_releases": 40.2
},
"community": {
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"health_percentage": 75,
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"ecosystem": {
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"Operating System :: OS Independent",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3.14",
"Topic :: Scientific/Engineering :: Artificial Intelligence"
],
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"registry_url": "https://pypi.org/project/torchrl/",
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"versions_count": 34,
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"maintainers_count": null,
"monthly_downloads": null,
"first_published_at": "2022-07-06T13:20:35.808578Z",
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]
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"popularity": {
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"watchers": 44,
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},
"ai_readiness": {
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"example_dirs": [
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"has_llms_txt": false,
"has_dockerfile": false,
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"bootstrap_files": [
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"typecheck_configs": [
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"largest_source_bytes": 298120,
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"agent_instruction_files": [
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"dependencies": {
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"dependencies": [
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{
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},
{
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},
{
"name": "cloudpickle",
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{
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{
"name": "pyvers",
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},
{
"name": "tensordict",
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},
{
"name": "tensordict",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "torch",
"direct": true,
"version": "2.12.0",
"ecosystem": "pypi"
},
{
"name": "torch",
"direct": true,
"version": null,
"ecosystem": "pypi"
},
{
"name": "accelerate",
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"version": "1.7.0",
"ecosystem": "pypi"
},
{
"name": "accelerate",
"direct": false,
"version": null,
"ecosystem": "pypi"
},
{
"name": "ale-py",
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},
{
"name": "bitsandbytes",
"direct": false,
"version": "0.46.0",
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}Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.
Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v1.13.0, schema v0.11.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.