Public recordExcellent
Software health reportschema 0.16.0 · metrics 1.13.0 · 2026-07-21 01:24 UTC
deepspeedai / DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
deepspeedai/DeepSpeed holds a health index of 85 out of 100, placing it in the Excellent band. It scores highest on Vitality (100/100) and lowest on Security (52/100). It was last updated today. 6 contributors account for most of its recent work.
85
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.
85
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
deepspeedaiOrganization
399 followers6 public repossince Nov 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 |
|---|---|---|---|---|---|
| PyPI | deepspeed | 0.19.2 | 1,253,553 | 127 | 34 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
100
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 — 390 commits in the last year |
| 0/10 | OpenSSF Scorecard: Maintained — no data |
Inputs used
| commits_last_year | 390 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 52 |
Release discipline
100Excellent
How it's scored
| 27/27 | Ships releases — 100 releases published |
| 36/36 | Release recency — latest release 34 days ago |
| 27/27 | Release cadence — a release every ~21 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 100 |
| latest_release_tag | v0.19.2 |
| releases_from_tags | no |
| days_since_latest_release | 34 |
| mean_days_between_releases | 21 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
94
Popularity & adoption
99Excellent
How it's scored
| 60/60 | Stars — 42,747 stars |
| 25/25 | Forks — 4,895 forks |
| 14.2/15 | Watchers — 360 watchers |
Inputs used
| forks | 4,895 |
| stars | 42,747 |
| watchers | 360 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
85Excellent
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 |
| 0/6.3 | 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 | no |
Ecosystem adoption (downloads)
100Excellent
How it's scored
| 80/80 | Monthly downloads — 1,253,553 downloads/month across pypi |
| 0/20 | Registry dependents — not reported by this ecosystem |
Inputs used
| packages | deepspeed |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 1,253,553 |
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
82
Maintainer resilience (bus factor)
90Excellent
How it's scored
| 48.6/54 | Bus factor — 6 contributor(s) cover half of all commits |
| 18.7/22.5 | Commit distribution — top contributor authored 17% of commits |
| 13.5/13.5 | Contributor breadth — 100 contributors |
| 0/10 | OpenSSF Scorecard: Contributors — no data |
Inputs used
| bus_factor | 6 |
| contributors_sampled | 100 |
| top_contributor_share | 0.169 |
How it's scored
| 30.5/46.8 | Issue resolution — 65% of issues closed |
| 31.9/38.3 | PR acceptance — 3,101/3,716 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — no data |
Inputs used
| merged_prs | 3,101 |
| open_issues | 1,164 |
| closed_issues | 2,188 |
| issue_closed_ratio | 0.653 |
| closed_unmerged_prs | 615 |
Ownership & stewardship
66Moderate
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 18.7/25 | Owner reach — 399 followers of deepspeedai |
| 17.6/25 | Track record — 6 public repos, account ~5 yr old |
Inputs used
| followers | 399 |
| owner_type | Organization |
| is_verified | — |
| owner_login | deepspeedai |
| public_repos | 6 |
| account_age_days | 2,082 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 34 days ago |
| 20/20 | Version history — 127 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | deepspeed |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 34 |
Engineering Quality
Are baseline engineering and documentation practices in place?
91
Engineering practices
92Excellent
How it's scored
| 24/24 | CI workflows — 30 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config — .flake8, .pylintrc |
| 9.6/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — no data |
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://www.deepspeed.ai/ |
| 10/10 | Repository description |
| 10/10 | Topics — 13 topics |
| 0/10 | Wiki |
Inputs used
| topics | deep-learning, pytorch, gpu, machine-learning, billion-parameters, data-parallelism, model-parallelism, inference, pipeline-parallelism, compression, mixture-of-experts, trillion-parameters, zero |
| has_wiki | no |
| homepage | https://www.deepspeed.ai/ |
| 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?
52
Security posture
40At risk
How it's scored
| 30/30 | Security policy (SECURITY.md) |
| 0/25 | Dependabot config |
| 0/25 | Dependency lockfiles — published library — lockfiles are an application concern, not expected |
| 0/20 | CodeQL workflow |
Inputs used
| source | file_signals |
| lockfiles | — |
| manifests | docs/Gemfile, requirements/requirements-1bit-mpi.txt, requirements/requirements-autotuning-ml.txt, requirements/requirements-autotuning.txt, requirements/requirements-cpu.txt, requirements/requirements-deepcompile.txt, requirements/requirements-dev.txt, requirements/requirements-inf.txt, requirements/requirements-readthedocs.txt, requirements/requirements-sd.txt, requirements/requirements-sparse_attn.txt, requirements/requirements-sparse_pruning.txt, requirements/requirements-torchembed.txt, requirements/requirements-triton.txt, requirements/requirements.txt, setup.cfg, setup.py |
| has_codeql_workflow | no |
| has_security_policy | yes |
| has_dependabot_config | no |
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.
Dependency advisories
100Excellent
How it's scored
| 35/35 | Direct dependencies free of known advisories — no direct dependency carries a known advisory |
| 25/25 | Indirect dependencies free of known advisories — no indirect dependency carries a known advisory |
| 0/40 | No advisories left outstanding — no advisory carries a publication date |
Inputs used
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 15 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:deepspeed@0.19.2 runtime dependency closure — what installing the published package pulls in — 15 packages. Reachability is not analyzed.
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 | 2,031 |
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
Verify loop (build / test / typecheck)
85Excellent
How it's scored
| 18/18 | One-command bootstrap — Makefile, docs/code-docs/Makefile |
| 22/22 | Automated tests |
| 11/11 | Lint / format config — .flake8, .pylintrc |
| 0/11 | Static type checking |
| 10/10 | Reproducible environment — Dockerfile |
| 0/10 | Demonstrated agent practice — no data |
| 0/8 | Automated maintenance — no data |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — no data |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | yes |
| typed_language | no |
| bootstrap_files | Makefile, docs/code-docs/Makefile |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | — |
| 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
54Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 54.4/55 | Manageable file sizes — 14/1,258 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 279,279 |
| source_files_sampled | 1,258 |
| oversized_source_files | 14 |
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 |
Inputs used
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
42,747GitHub stars
100contributors
390commits, last 12 months
0days since last push
100releases
6bus factor
1,164open issues
PyPI, RubyGemspackage ecosystems
Data collection warnings
- OpenSSF Scorecard did not return a usable result (2026/07/21 01:23:49 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks
More detail
All dependencies 58
Full resolved dependency set from the GitHub dependency graph: 0 direct and 58 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | accelerate | — | indirect |
| PyPI | autodoc-pydantic | — | indirect |
| PyPI | clang-format | 18.1.3 | indirect |
| PyPI | comet-ml | — | indirect |
| PyPI | deepspeed-kernels | — | indirect |
| PyPI | diffusers | — | indirect |
| PyPI | docutils | — | indirect |
| PyPI | einops | — | indirect |
| PyPI | future | — | indirect |
| PyPI | — | indirect | |
| PyPI | hjson | — | indirect |
| PyPI | importlib-metadata | — | indirect |
| PyPI | lm-eval | 0.3.0 | indirect |
| PyPI | mpi4py | — | indirect |
| PyPI | msgpack | — | indirect |
| PyPI | mup | — | indirect |
| PyPI | neural-compressor | 2.1.0 | indirect |
| PyPI | ninja | — | indirect |
| PyPI | numpy | — | indirect |
| PyPI | packaging | — | indirect |
| PyPI | pre-commit | — | indirect |
| PyPI | protobuf | — | indirect |
| PyPI | psutil | — | indirect |
| PyPI | py-cpuinfo | — | indirect |
| PyPI | pydantic | — | indirect |
| PyPI | pytest | — | indirect |
| PyPI | pytest-forked | — | indirect |
| PyPI | pytest-randomly | — | indirect |
| PyPI | pytest-xdist | — | indirect |
| PyPI | qtorch | — | indirect |
| PyPI | qtorch | 0.3.0 | indirect |
| PyPI | recommonmark | — | indirect |
| PyPI | safetensors | — | indirect |
| PyPI | scipy | — | indirect |
| PyPI | sentencepiece | — | indirect |
| PyPI | sphinx | — | indirect |
| PyPI | sphinx-rtd-theme | — | indirect |
| PyPI | tabulate | — | indirect |
| PyPI | tensorboard | — | indirect |
| PyPI | torch | — | indirect |
| PyPI | torchembed | — | indirect |
| PyPI | torchvision | — | indirect |
| PyPI | tqdm | — | indirect |
| PyPI | transformers | — | indirect |
| PyPI | triton | — | indirect |
| PyPI | triton | 1.0.0 | indirect |
| PyPI | triton | 2.1.0 | indirect |
| PyPI | wandb | — | indirect |
| PyPI | xgboost | — | indirect |
| RubyGems | github-pages | — | indirect |
| RubyGems | jekyll-feed | — | indirect |
| RubyGems | jekyll-include-cache | — | indirect |
| RubyGems | jekyll-paginate | — | indirect |
| RubyGems | jekyll-remote-theme | — | indirect |
| RubyGems | minimal-mistakes-jekyll | — | indirect |
| RubyGems | tzinfo | — | indirect |
| RubyGems | tzinfo-data | — | indirect |
| RubyGems | webrick | — | indirect |
Dependency advisories 0
Installing pypi:deepspeed@0.19.2 pulls in 15 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.
No known advisories affect the assessed dependencies.
An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.
Raw JSON report machine-readable
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{
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"homepage": "https://www.deepspeed.ai/",
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"components": [
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],
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{
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"weight": 0.16,
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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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"status": "excluded",
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],
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},
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},
{
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}
],
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],
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"full_name": "deepspeedai/DeepSpeed",
"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 v0.16.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.