Public recordExcellent
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-29 02:07 UTC
flagos-ai / FlagGems
FlagGems is an operator library for large language models implemented in the Triton Language.
flagos-ai/FlagGems holds a health index of 85 out of 100, placing it in the Excellent band. It scores highest on Vitality (99/100) and lowest on AI Readiness (55/100). 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
FlagOSOrganization
248 followers51 public repossince Nov 2025
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 | flag_gems | 5.0.2 | - | 7 | 95 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
99
Development activity
99Excellent
How it's scored
| 36/36 | Push recency — last push 0 days ago |
| 35.3/36 | Commit cadence — 51/52 weeks with commits |
| 18/18 | Commit volume — 2,337 commits in the last year |
| 0/10 | OpenSSF Scorecard: Maintained — no data |
Inputs used
| commits_last_year | 2,337 |
| human_commit_share | 0.97 |
| days_since_last_push | 0 |
| active_weeks_last_year | 51 |
Release discipline
100Excellent
How it's scored
| 27/27 | Ships releases — 6 releases published |
| 36/36 | Release recency — latest release 34 days ago |
| 27/27 | Release cadence — a release every ~34.1 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 6 |
| latest_release_tag | v5.3.0 |
| releases_from_tags | no |
| days_since_latest_release | 34 |
| mean_days_between_releases | 34.1 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
85
Popularity & adoption
78Good
How it's scored
| 49/60 | Stars — 1,057 stars |
| 22.3/25 | Forks — 473 forks |
| 6.7/15 | Watchers — 17 watchers |
Inputs used
| forks | 473 |
| stars | 1,057 |
| watchers | 17 |
| 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?
76
Maintainer resilience (bus factor)
87Excellent
How it's scored
| 48.6/54 | Bus factor — 6 contributor(s) cover half of all commits |
| 15.9/22.5 | Commit distribution — top contributor authored 29% of commits |
| 13.5/13.5 | Contributor breadth — 99 contributors |
| 0/10 | OpenSSF Scorecard: Contributors — no data |
Inputs used
| bus_factor | 6 |
| contributors_sampled | 99 |
| top_contributor_share | 0.294 |
Issue & PR responsiveness
60Moderate
How it's scored
| 23.8/46.8 | Issue resolution — 51% of issues closed |
| 27.6/38.3 | PR acceptance — 2,869/3,981 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — no data |
Inputs used
| merged_prs | 2,869 |
| open_issues | 313 |
| closed_issues | 325 |
| issue_closed_ratio | 0.509 |
| closed_unmerged_prs | 1,112 |
Ownership & stewardship
61Moderate
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 17.2/25 | Owner reach — 248 followers of flagos-ai |
| 13.9/25 | Track record — 51 public repos, account ~0 yr old |
Inputs used
| followers | 248 |
| owner_type | Organization |
| is_verified | — |
| owner_login | flagos-ai |
| public_repos | 51 |
| account_age_days | 262 |
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 95 days ago |
| 20/20 | Version history — 7 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | flag_gems |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 95 |
Engineering Quality
Are baseline engineering and documentation practices in place?
85
Engineering practices
92Excellent
How it's scored
| 24/24 | CI workflows — 16 workflow(s) |
| 24/24 | Tests present |
| 16/16 | Linter config |
| 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
75Good
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 0/15 | Documentation / homepage site |
| 10/10 | Repository description |
| 10/10 | Topics — 3 topics |
| 0/10 | Wiki |
Inputs used
| topics | pytorch, triton, triton-kernels |
| has_wiki | no |
| homepage | — |
| 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?
78
Security posture
73Good
How it's scored
| 30/30 | Security policy (SECURITY.md) |
| 25/25 | 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 | cpp/pyproject.toml, pyproject.toml, setup.py |
| has_codeql_workflow | no |
| has_security_policy | yes |
| has_dependabot_config | yes |
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 | 6 |
| 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:flag_gems@5.0.2 runtime dependency closure — what installing the published package pulls in — 6 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.
55
Agent context & guidance
40At risk
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 40/40 | Legible commit history — 91 of 97 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.938 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
How it's scored
| 12.6/18 | One-command bootstrap — docs/themes/hugo-book/go.mod (toolchain convention, no task runner) |
| 22/22 | Automated tests |
| 11/11 | Lint / format config |
| 0/11 | Static type checking |
| 0/10 | Reproducible environment |
| 10/10 | Demonstrated agent practice — 24 of the last 100 commits agent-authored or agent-credited |
| 8/8 | Automated maintenance — 3 of the last 100 commits are automated dependency updates |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — no data |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | yes |
| typecheck_configs | — |
| agent_commit_share | 0.24 |
| toolchain_manifests | docs/themes/hugo-book/go.mod |
| dependency_bot_commit_share | 0.03 |
Code legibility for models
55Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 54.7/55 | Manageable file sizes — 17/3,414 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 2,707,645 |
| source_files_sampled | 3,414 |
| oversized_source_files | 17 |
Machine-readable interfaces
40At risk
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — example, examples |
Inputs used
| example_dirs | example, examples |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
1,057GitHub stars
99contributors
2,337commits, last 12 months
0days since last push
6releases
6bus factor
313open issues
PyPIpackage ecosystems
Data collection warnings
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- Could not fetch pypi package 'flag-gems-cpp-__VENDOR__' from its registry
- OpenSSF Scorecard did not return a usable result (2026/07/29 02:06:51 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks
More detail
Star and fork history 0 ★ / 473 ⇿
0Stars
473Forks
6Releases
When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.
Major 1Minor 2Patch 1
Each point covers 2 days.
Direct dependencies 5
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | flag-gems | — | cpp/pyproject.toml |
| PyPI | packaging | >=26.0 | pyproject.toml |
| PyPI | PyYAML | ==6.0.1 | pyproject.toml |
| PyPI | sqlalchemy | ==2.0.48 | pyproject.toml |
| PyPI | numpy | — | pyproject.toml |
All dependencies 48
Full resolved dependency set from the GitHub dependency graph: 3 direct and 45 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | packaging | — | direct |
| PyPI | pyyaml | 6.0.1 | direct |
| PyPI | sqlalchemy | 2.0.48 | direct |
| PyPI | apex | 0.1 | indirect |
| PyPI | benchflow | 1.0.0 | indirect |
| PyPI | cambricon-dali | 0.13.0 | indirect |
| PyPI | cmake | — | indirect |
| PyPI | colorama | 0.4.6 | indirect |
| PyPI | coverage | 7.13.5 | indirect |
| PyPI | datasets | — | indirect |
| PyPI | distro | 1.9.0 | indirect |
| PyPI | flash-attn | 2.4.2+7e2dd4d | indirect |
| PyPI | hydrax | 0.1.0 | indirect |
| PyPI | hyperparameter | 0.5.6 | indirect |
| PyPI | mkl | 2024.0.0 | indirect |
| PyPI | ninja | — | indirect |
| PyPI | openpyxl | 3.1.5 | indirect |
| PyPI | pandas | — | indirect |
| PyPI | pandas | 2.3.3 | indirect |
| PyPI | psutil | 6.1.0 | indirect |
| PyPI | pybind11 | — | indirect |
| PyPI | pybind11 | 3.0.3 | indirect |
| PyPI | pyefml | 1.9.10 | indirect |
| PyPI | pytest | 9.0.3 | indirect |
| PyPI | pytest-md-report | 0.8.0 | indirect |
| PyPI | regex | 2026.4.4 | indirect |
| PyPI | scikit-build-core | — | indirect |
| PyPI | scikit-build-core | 0.12.2 | indirect |
| PyPI | scipy | — | indirect |
| PyPI | setuptools | — | indirect |
| PyPI | setuptools-scm | — | indirect |
| PyPI | torch | 2.7.0+cpu | indirect |
| PyPI | torch-gcu | 2.10.0+3.7.20260408 | indirect |
| PyPI | torch-mlu | 1.29.2+torch2.7.1 | indirect |
| PyPI | torch-mlu-ops | 1.8.0+torch2.7.1 | indirect |
| PyPI | torch-musa | 2.9.0 | indirect |
| PyPI | torch-npu | 2.9.0 | indirect |
| PyPI | torch-plugin | 0.1.0 | indirect |
| PyPI | torch-ptpu | 0.2.3+torch2.11 | indirect |
| PyPI | torch-txda | 0.1.0+20260615.37ba6bbd | indirect |
| PyPI | torch-xray | 2.0.4 | indirect |
| PyPI | torchaudio | 2.4.1+metax3.7.2.0 | indirect |
| PyPI | torchvision | 0.15.1+metax3.7.2.0 | indirect |
| PyPI | transformers | — | indirect |
| PyPI | txops | 0.1.0+20260508.60287151 | indirect |
| PyPI | vllm | — | indirect |
| PyPI | xformers | 0.0.29+1e7a8ec.d20260114 | indirect |
| PyPI | xmlir | 1.0.0.1 | indirect |
Dependency advisories 0
Installing pypi:flag_gems@5.0.2 pulls in 6 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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"full_name": "flagos-ai/FlagGems",
"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 v0.27.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.