Public recordExcellent
Software health reportschema 0.11.0 · metrics 1.13.0 · 2026-07-17 02:39 UTC
tenstorrent / tt-metal
:metal: TT-NN operator library, and TT-Metalium low level kernel programming model.
tenstorrent/tt-metal holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Vitality (96/100) and lowest on Security (54/100). It was last updated today. 25 contributors account for most of its recent work.
86
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.
86
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
Tenstorrent AIOrganization
2,011 followers135 public repossince Apr 2020
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 | ttnn | 0.74.0 | - | 66 | 3 days ago | metaliumttnntt-metalmachine-learningtenstorrentlibnumalibhwloc |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
96
Development activity
100Excellent
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 36/36 | Commit cadence — 52/52 weeks with commits |
| 18/18 | Commit volume — 11,414 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 | 11,414 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 52 |
Release discipline
90Excellent
How it's scored
| 27/27 | Ships releases — 100 releases published |
| 36/36 | Release recency — latest release 0 days ago |
| 27/27 | Release cadence — a release every ~0.6 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Inputs used
| releases_count | 100 |
| latest_release_tag | v0.75.0-dev20260716 |
| releases_from_tags | no |
| days_since_latest_release | 0 |
| mean_days_between_releases | 0.6 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
87
Popularity & adoption
82Good
How it's scored
| 51.9/60 | Stars — 1,584 stars |
| 22.7/25 | Forks — 537 forks |
| 7.4/15 | Watchers — 22 watchers |
Inputs used
| forks | 537 |
| stars | 1,584 |
| watchers | 22 |
| 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 (Apache-2.0) |
| 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?
91
Maintainer resilience (bus factor)
99Excellent
How it's scored
| 54/54 | Bus factor — 25 contributor(s) cover half of all commits |
| 21.1/22.5 | Commit distribution — top contributor authored 6% of commits |
| 13.5/13.5 | Contributor breadth — 100 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 10 contributing companies or organizations |
Inputs used
| bus_factor | 25 |
| contributors_sampled | 100 |
| top_contributor_share | 0.063 |
Issue & PR responsiveness
85Excellent
How it's scored
| 38/46.8 | Issue resolution — 81% of issues closed |
| 31.7/38.3 | PR acceptance — 22,360/26,950 decided PRs merged |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Inputs used
| merged_prs | 22,360 |
| open_issues | 3,964 |
| closed_issues | 17,264 |
| issue_closed_ratio | 0.813 |
| closed_unmerged_prs | 4,590 |
Ownership & stewardship
79Good
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 23.8/25 | Owner reach — 2,011 followers of tenstorrent |
| 25/25 | Track record — 135 public repos, account ~6 yr old |
Inputs used
| followers | 2,011 |
| owner_type | Organization |
| is_verified | — |
| owner_login | tenstorrent |
| public_repos | 135 |
| account_age_days | 2,276 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 3 days ago |
| 20/20 | Version history — 66 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | ttnn |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 3 |
Engineering Quality
Are baseline engineering and documentation practices in place?
92
Engineering practices
94Excellent
How it's scored
| 24/24 | CI workflows — 201 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 — 30 out of 30 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://docs.tenstorrent.com/tt-metal/latest/ttnn/ |
| 10/10 | Repository description |
| 10/10 | Topics — 14 topics |
| 0/10 | Wiki |
Inputs used
| topics | llama, llm, metal, stable-diffusion, tenstorrent, accelerator, scale-out, kernels, ai, deepseek, gpu, img-gen, video-gen, cuda |
| has_wiki | no |
| homepage | https://docs.tenstorrent.com/tt-metal/latest/ttnn/ |
| 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?
54
Security posture
54Moderate
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 3/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 30 out of 30 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 |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 10 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 |
| 1/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 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 — 84 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 18 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 0 |
| scorecard_aggregate | 5.4 |
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.
88
Agent context & guidance
75Good
How it's scored
| 45/45 | Agent instructions — .cursor/rules/diagnose-config-hash-mismatch.mdc, .cursor/rules/fix-sweep-trace-match.mdc, .cursor/rules/validate-sweep-trace.mdc, .github/copilot-instructions.md, .github/instructions/build-system.instructions.md, .github/instructions/ci-cd.instructions.md, .github/instructions/cpp.instructions.md, .github/instructions/fabric-distributed.instructions.md, .github/instructions/llk-kernels.instructions.md, .github/instructions/metal-api.instructions.md, .github/instructions/metal-dispatch.instructions.md, .github/instructions/metal-runtime.instructions.md, .github/instructions/models.instructions.md, .github/instructions/nanobind.instructions.md, .github/instructions/python.instructions.md, .github/instructions/tt-stl.instructions.md, .github/instructions/tt-train.instructions.md, .github/instructions/ttnn-core.instructions.md, .github/instructions/ttnn-ops.instructions.md, .github/instructions/ttnn.instructions.md, tt_metal/tt-llk/.claude/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 | .cursor/rules/diagnose-config-hash-mismatch.mdc, .cursor/rules/fix-sweep-trace-match.mdc, .cursor/rules/validate-sweep-trace.mdc, .github/copilot-instructions.md, .github/instructions/build-system.instructions.md, .github/instructions/ci-cd.instructions.md, .github/instructions/cpp.instructions.md, .github/instructions/fabric-distributed.instructions.md, .github/instructions/llk-kernels.instructions.md, .github/instructions/metal-api.instructions.md, .github/instructions/metal-dispatch.instructions.md, .github/instructions/metal-runtime.instructions.md, .github/instructions/models.instructions.md, .github/instructions/nanobind.instructions.md, .github/instructions/python.instructions.md, .github/instructions/tt-stl.instructions.md, .github/instructions/tt-train.instructions.md, .github/instructions/ttnn-core.instructions.md, .github/instructions/ttnn-ops.instructions.md, .github/instructions/ttnn.instructions.md, tt_metal/tt-llk/.claude/CLAUDE.md |
| agent_instruction_max_bytes | 10,291 |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
Verify loop (build / test / typecheck)
90Excellent
How it's scored
| 18/18 | One-command bootstrap — docs/Makefile, tt_metal/tt-llk/tests/python_tests/Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config |
| 11/11 | Static type checking — tools/triage/mypy.ini, tools/triage/pyrightconfig.json |
| 10/10 | Reproducible environment — Dockerfile |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 2/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | yes |
| typed_language | yes |
| bootstrap_files | docs/Makefile, tt_metal/tt-llk/tests/python_tests/Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | tools/triage/mypy.ini, tools/triage/pyrightconfig.json |
| 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.
Code legibility for models
99Excellent
How it's scored
| 45/45 | Type-checkable code — C++ (statically typed) |
| 54/55 | Manageable file sizes — 278/14,823 source files over 60KB |
Inputs used
| primary_language | C++ |
| largest_source_bytes | 771,575 |
| source_files_sampled | 14,823 |
| oversized_source_files | 278 |
Machine-readable interfaces
100Excellent
How it's scored
| 40/40 | API schema (OpenAPI/GraphQL/proto) — tools/scaleout/cabling_descriptor/schemas/cluster_config.proto, tools/scaleout/cabling_descriptor/schemas/node_config.proto, tools/scaleout/deployment_descriptor/schemas/deployment.proto, tools/scaleout/factory_system_descriptor/schemas/factory_system_descriptor.proto, tools/scaleout/validation/schemas/ethernet_link_metrics.proto, tt_metal/fabric/protobuf/intermesh_connection_table.proto, tt_metal/fabric/protobuf/mesh_graph_descriptor.proto, tt_metal/fabric/protobuf/physical_grouping_descriptor.proto, tt_metal/fabric/protobuf/physical_system_descriptor.proto, tt_metal/fabric/protobuf/port_descriptor_table.proto, tt_metal/fabric/protobuf/router_port_directions.proto, tt_metal/impl/internal/disaggregation/protobuf/kv_chunk_address_table.proto |
| 20/20 | MCP server |
| 40/40 | Runnable examples — demos, example, examples, notebooks |
Inputs used
| example_dirs | demos, example, examples, notebooks |
| has_mcp_signal | yes |
| api_schema_files | tools/scaleout/cabling_descriptor/schemas/cluster_config.proto, tools/scaleout/cabling_descriptor/schemas/node_config.proto, tools/scaleout/deployment_descriptor/schemas/deployment.proto, tools/scaleout/factory_system_descriptor/schemas/factory_system_descriptor.proto, tools/scaleout/validation/schemas/ethernet_link_metrics.proto, tt_metal/fabric/protobuf/intermesh_connection_table.proto, tt_metal/fabric/protobuf/mesh_graph_descriptor.proto, tt_metal/fabric/protobuf/physical_grouping_descriptor.proto, tt_metal/fabric/protobuf/physical_system_descriptor.proto, tt_metal/fabric/protobuf/port_descriptor_table.proto, tt_metal/fabric/protobuf/router_port_directions.proto, tt_metal/impl/internal/disaggregation/protobuf/kv_chunk_address_table.proto |
Key facts
1,584GitHub stars
100contributors
11,414commits, last 12 months
0days since last push
100releases
25bus factor
3,964open issues
PyPIpackage ecosystems
More detail
OpenSSF Scorecard 5.4 / 10
5.4aggregate
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 |
| 4 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 30 out of 30 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 |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 10 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 |
| 2 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 2 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 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 | 84 existing vulnerabilities detected |
Direct dependencies 9
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | numpy | >=1.24.4,<2 | pyproject.toml |
| PyPI | loguru | >=0.6.0 | pyproject.toml |
| PyPI | networkx | >=3.1 | pyproject.toml |
| PyPI | graphviz | >=0.20.3 | pyproject.toml |
| PyPI | pyyaml | >=5.4 | pyproject.toml |
| PyPI | click | >=8.1.7 | pyproject.toml |
| PyPI | pandas | >=2.0.3 | pyproject.toml |
| PyPI | seaborn | >=0.13.2 | pyproject.toml |
| PyPI | ml_dtypes | — | pyproject.toml |
All dependencies 205
Full resolved dependency set from the GitHub dependency graph: 20 direct and 185 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | click | — | direct |
| PyPI | click | 8.1.7 | direct |
| PyPI | graphviz | — | direct |
| PyPI | loguru | — | direct |
| PyPI | loguru | 0.6.0 | direct |
| PyPI | loguru | 0.7.3 | direct |
| PyPI | ml-dtypes | — | direct |
| PyPI | ml-dtypes | 0.5.4 | direct |
| PyPI | networkx | — | direct |
| PyPI | networkx | 3.1 | direct |
| PyPI | networkx | 3.4.2 | direct |
| PyPI | numpy | — | direct |
| PyPI | numpy | 1.26.4 | direct |
| PyPI | numpy | 2.2.6 | direct |
| PyPI | pandas | — | direct |
| PyPI | pandas | 2.3.3 | direct |
| PyPI | pyyaml | — | direct |
| PyPI | pyyaml | 6.0.3 | direct |
| PyPI | seaborn | — | direct |
| PyPI | seaborn | 0.13.2 | direct |
| npm | @actions/core | 1.10.0 | indirect |
| npm | @actions/core | ^1.10.0 | indirect |
| npm | @actions/github | 5.1.1 | indirect |
| npm | @actions/github | ^5.1.1 | indirect |
| npm | @octokit/rest | ^21.1.1 | indirect |
| PyPI | accelerate | — | indirect |
| PyPI | accelerate | 1.7.0 | indirect |
| PyPI | ansible | — | indirect |
| PyPI | ansible-lint | — | indirect |
| PyPI | anthropic | 0.91.0 | indirect |
| PyPI | antlr4-python3-runtime | 4.9.3 | indirect |
| PyPI | av | — | indirect |
| PyPI | av | 17.0.1 | indirect |
| PyPI | basedpyright | 1.39.6 | indirect |
| PyPI | beautifultable | — | indirect |
| PyPI | bert-score | 0.3.12 | indirect |
| PyPI | black | 26.3.1 | indirect |
| PyPI | blobfile | 3.1.0 | indirect |
| PyPI | bokeh | 3.8.2 | indirect |
| PyPI | breathe | 4.35.0 | indirect |
| PyPI | build | 0.10.0 | indirect |
| PyPI | check-copyright | — | indirect |
| PyPI | clang-format | 19.1.4 | indirect |
| PyPI | coverage | 7.10.5 | indirect |
| PyPI | dash | 2.15.0 | indirect |
| PyPI | datasets | — | indirect |
| PyPI | decord | 0.6.0 | indirect |
| PyPI | defusedxml | — | indirect |
| PyPI | diffusers | — | indirect |
| PyPI | diffusers | 0.38.0 | indirect |
| PyPI | docopt | 0.6.2 | indirect |
| PyPI | docutils | 0.18.1 | indirect |
| PyPI | easydict | — | indirect |
| PyPI | efficientnet-pytorch | 0.7.1 | indirect |
| PyPI | einops | 0.6.1 | indirect |
| PyPI | enlighten | 1.12.4 | indirect |
| PyPI | evaluate | 0.4.0 | indirect |
| PyPI | exceptiongroup | 1.3.0 | indirect |
| PyPI | fairscale | — | indirect |
| PyPI | fastapi | — | indirect |
| PyPI | faster-fifo | — | indirect |
| PyPI | fiftyone | 0.25.2 | indirect |
| PyPI | filelock | 3.20.3 | indirect |
| PyPI | fsspec | 2023.9.2 | indirect |
| PyPI | fsspec | 2025.7.0 | indirect |
| PyPI | ftfy | 6.1.1 | indirect |
| PyPI | fvcore | — | indirect |
| PyPI | gitpython | 3.1.50 | indirect |
| PyPI | gluonts | — | indirect |
| PyPI | gunicorn | 21.2.0 | indirect |
| PyPI | hf-xet | 1.5.1 | indirect |
| PyPI | huggingface-hub | — | indirect |
| PyPI | huggingface-hub | 1.20.1 | indirect |
| PyPI | ijson | — | indirect |
| PyPI | imageio-ffmpeg | 0.6.0 | indirect |
| PyPI | iniconfig | 2.1.0 | indirect |
| PyPI | ipdb | — | indirect |
| PyPI | ipython | 8.12.3 | indirect |
| PyPI | ipywidgets | 8.1.1 | indirect |
| PyPI | jinja2 | 3.1.6 | indirect |
| PyPI | jiwer | 3.0.5 | indirect |
| PyPI | jsbeautifier | 1.14.7 | indirect |
| PyPI | junitparser | 4.0.2 | indirect |
| PyPI | jupyterlab | 4.5.9 | indirect |
| PyPI | kagglehub | 0.2.9 | indirect |
| PyPI | librosa | 0.10.0 | indirect |
| PyPI | lvis | — | indirect |
| PyPI | lxml | 6.1.0 | indirect |
| PyPI | markupsafe | 3.0.2 | indirect |
| PyPI | matplotlib | — | indirect |
| PyPI | medpy | 0.5.2 | indirect |
| PyPI | mpmath | 1.3.0 | indirect |
| PyPI | msgpack | — | indirect |
| PyPI | msgpack-numpy | — | indirect |
| PyPI | multiprocess | 0.70.14 | indirect |
| PyPI | mypy | 1.9.0 | indirect |
| PyPI | mypy | 2.1.0 | indirect |
| PyPI | myst-parser | 3.0.0 | indirect |
| PyPI | narwhals | 1.46.0 | indirect |
| PyPI | nbconvert | 7.17.1 | indirect |
| PyPI | nbsphinx | 0.9.3 | indirect |
| PyPI | nltk | — | indirect |
| PyPI | numba | — | indirect |
| PyPI | omegaconf | — | indirect |
| PyPI | open-clip-torch | — | indirect |
| PyPI | open-clip-torch | 2.26.1 | indirect |
| PyPI | openai-clip | 1.0.1 | indirect |
| PyPI | opencv-python | — | indirect |
| PyPI | opencv-python-headless | 4.8.1.78 | indirect |
| PyPI | packaging | 25.0 | indirect |
| PyPI | pandoc | 2.3 | indirect |
| PyPI | peft | 0.18.1 | indirect |
| PyPI | pillow | — | indirect |
| PyPI | pillow | 12.2.0 | indirect |
| PyPI | platformdirs | — | indirect |
| PyPI | plotly | — | indirect |
| PyPI | plotly | 5.18.0 | indirect |
| PyPI | plotly | 6.5.0 | indirect |
| PyPI | pluggy | 1.6.0 | indirect |
| PyPI | pre-commit | 3.5.0 | indirect |
| PyPI | pre-commit | 4.5.0 | indirect |
| PyPI | protobuf | 5.29.6 | indirect |
| PyPI | psycopg2-binary | 2.9.11 | indirect |
| PyPI | pyarrow | — | indirect |
| PyPI | pyarrow | 24.0.0 | indirect |
| PyPI | pycapnp | 2.0.0 | indirect |
| PyPI | pycocoevalcap | — | indirect |
| PyPI | pydantic | — | indirect |
| PyPI | pydantic | 2.12.5 | indirect |
| PyPI | pydantic | 2.9.2 | indirect |
| PyPI | pygments | 2.20.0 | indirect |
| PyPI | pyiqa | — | indirect |
| PyPI | pytest | — | indirect |
| PyPI | pytest | 9.0.3 | indirect |
| PyPI | pytest-benchmark | 5.2.3 | indirect |
| PyPI | pytest-cov | — | indirect |
| PyPI | pytest-cov | 6.1.1 | indirect |
| PyPI | pytest-cov | 7.0.0 | indirect |
| PyPI | pytest-forked | 1.6.0 | indirect |
| PyPI | pytest-github-actions-annotate-failures | 0.3.0 | indirect |
| PyPI | pytest-github-actions-annotate-failures | 0.4.0 | indirect |
| PyPI | pytest-progress | 1.4.0 | indirect |
| PyPI | pytest-random-order | 1.2.0 | indirect |
| PyPI | pytest-repeat | 0.9.4 | indirect |
| PyPI | pytest-split | 0.11.0 | indirect |
| PyPI | pytest-sugar | 1.1.1 | indirect |
| PyPI | pytest-timeout | 2.4.0 | indirect |
| PyPI | pytest-xdist | 3.8.0 | indirect |
| PyPI | python-multipart | — | indirect |
| PyPI | qwen-vl-utils | — | indirect |
| PyPI | requests | — | indirect |
| PyPI | safetensors | — | indirect |
| PyPI | safetensors | 0.8.0 | indirect |
| PyPI | scipy | — | indirect |
| PyPI | sentencepiece | — | indirect |
| PyPI | sentencepiece | 0.2.1 | indirect |
| PyPI | setuptools | 80.10.2 | indirect |
| PyPI | sphinx | 7.1.2 | indirect |
| PyPI | sphinx-rtd-theme | 1.3.0 | indirect |
| PyPI | sphinxcontrib-email | 0.3.5 | indirect |
| PyPI | sphinxcontrib-jquery | 4.1 | indirect |
| PyPI | streamlit | — | indirect |
| PyPI | streamlit | 1.54.0 | indirect |
| PyPI | streamlit-webrtc | — | indirect |
| PyPI | sympy | 1.14.0 | indirect |
| PyPI | tabulate | 0.9.0 | indirect |
| PyPI | termcolor | — | indirect |
| PyPI | termcolor | 3.2.0 | indirect |
| PyPI | tiktoken | 0.7.0 | indirect |
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{
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{
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{
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{
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{
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{
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}
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}
],
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]
}
],
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{
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{
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]
},
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}
}
],
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},
{
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}
}
],
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}
]
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],
"description": "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."
}
],
"metrics_version": "1.13.0"
},
"warnings": [],
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"generated_at": "2026-07-17T02:39:33.481544Z",
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"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/t/tenstorrent/tt-metal.svg",
"full_name": "tenstorrent/tt-metal",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}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.