Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-12 16:20 UTC

Sahil170595 / quantfit

Quantize an LLM and check it still refuses what it should — a GPU-aware quantization CLI that measures the safety drift of the quantization it just performed.

PythonApache-2.0★ 1 star⑂ 0 forkssince Jun 2026View on GitHub ↗
KindCommand-line toolPluginLibraryhow this is determined

Sahil170595/quantfit holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Engineering Quality (86/100) and lowest on Community & Adoption (39/100). It was last updated today. A single contributor accounts for most of its recent work.

78
overall / 100
Good

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

78
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

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.

The weighted overall 67 is calibrated to 78 on the published index scale (record calibration 2026-08-02).

Ownership

Sahil KadadekarPersonal account
17 followers46 public repossince Oct 2023

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIquantfit0.26.02,468590 days agollmquantizationawqgptqgguffp8gpusafety

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

84Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
10.4/36Commit cadence — 15/52 weeks with commits
18/18Commit volume — 353 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year353
human_commit_share1
days_since_last_push0
active_weeks_last_year15

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 59 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~0 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count59
latest_release_tagv0.26.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases0
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

39Weak · 17% of overall
How it's scored
0/60Stars — 1 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars1
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno
How it's scored
45.2/80Monthly downloads — 2,468 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesquantfit
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,468
unverified_packages_excluded—
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?

51Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1
How it's scored
0/42Issue resolution — no issues or no data
28.6/30PR acceptance — 124/130 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/10 approved changesets -- score normalized to 0
Inputs used
merged_prs124
open_issues0
closed_issues0
prs_merged_7d17
prs_decided_7d17
prs_merged_30d49
prs_decided_30d49
issue_closed_ratio—
closed_unmerged_prs6
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
9/25Owner reach — 17 followers of Sahil170595
18.2/25Track record — 46 public repos, account ~2 yr old
Inputs used
followers17
owner_typeUser
is_verified—
owner_loginSahil170595
public_repos46
account_age_days1,093
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 59 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesquantfit
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 10 out of 10 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://pypi.org/project/quantfit/
10/10Repository description
10/10Topics — 9 topics
0/10Wiki
Inputs used
topicsai-safety, awq, cli, gguf, gptq, llm, llm-evaluation, python, quantization
has_wikino
homepagehttps://pypi.org/project/quantfit/
docs_sitehttps://pypi.org/project/quantfit/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

74Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 10 out of 10 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/10 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.7
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages177
unassessed_packages14
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 177 resolved dependencies against OSV. 14 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

68Good · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt present
40/40Legible commit history — 76 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share0.76
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes7,838
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
7/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
52.8/55Manageable file sizes — 7/172 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes141,949
source_files_sampled172
oversized_source_files7

Key facts

1GitHub stars
1contributors
353commits, last 12 months
0days since last push
59releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:quantfit@0.26.0; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 6.7 / 10
6.7aggregate

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).Scorecard v5.5.0 · 2026-10-12 16:19 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests10 out of 10 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/10 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 8
RegistryPackageVersion constraintManifest
PyPItorch>=2.4pyproject.toml
PyPItransformers>=4.56pyproject.toml
PyPIhuggingface_hub>=0.25pyproject.toml
PyPIhttpx>=0.28.1,<0.29pyproject.toml
PyPIdatasets>=3.0pyproject.toml
PyPIaccelerate>=1.0pyproject.toml
PyPIllmcompressor>=0.5,<0.15pyproject.toml
PyPIpsutil>=5.9pyproject.toml
All dependencies 191

Full resolved dependency set from the GitHub dependency graph: 16 direct and 175 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaccelerate—direct
PyPIaccelerate1.15.0direct
PyPIdatasets—direct
PyPIdatasets5.0.1direct
PyPIhttpx—direct
PyPIhttpx0.28.1direct
PyPIhuggingface-hub—direct
PyPIhuggingface-hub1.31.0direct
PyPIllmcompressor—direct
PyPIllmcompressor0.14.0direct
PyPIpsutil—direct
PyPIpsutil7.2.2direct
PyPItorch—direct
PyPItorch2.13.0+cpudirect
PyPItransformers—direct
PyPItransformers5.17.0direct
PyPIagent-client-protocol0.12.1indirect
PyPIaiobotocore3.9.2indirect
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiohttp3.14.3indirect
PyPIaioitertools0.13.0indirect
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PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.15.1indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs26.1.0indirect
PyPIauto-round0.14.2indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbeautifulsoup44.15.0indirect
PyPIboolean-py5.0indirect
PyPIboto31.43.106indirect
PyPIbotocore1.43.106indirect
PyPIbuild1.6.1indirect
PyPIcachecontrol0.14.4indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcharset-normalizer3.5.2indirect
PyPIclick8.5.0indirect
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PyPIcompressed-tensors0.19.0indirect
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PyPIcryptography50.0.2indirect
PyPIcyclonedx-python-lib11.12.0indirect
PyPIdebugpy1.8.22indirect
PyPIdefusedxml0.7.1indirect
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PyPIdocstring-parser0.18.0indirect
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PyPIfilelock4.0.10indirect
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PyPIgguf—indirect
PyPIgguf0.19.0indirect
PyPIgptqmodel—indirect
PyPIh110.16.0indirect
PyPIhf-xet1.6.0indirect
PyPIhttpcore1.0.9indirect
PyPIhypothesis6.152.5indirect
PyPIid1.6.1indirect
PyPIidna3.20indirect
PyPIijson3.5.1indirect
PyPIimportlib-metadata9.0.1indirect
PyPIiniconfig2.3.0indirect
PyPIinspect-ai0.3.269indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.6.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjmespath1.1.0indirect
PyPIjsonlines4.0.0indirect
PyPIjsonpatch1.33indirect
PyPIjsonpath-ng1.8.0indirect
PyPIjsonpointer3.1.1indirect
PyPIjsonref1.1.0indirect
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PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.4indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPImmh35.3.1indirect
PyPImore-itertools11.1.0indirect
PyPImpmath1.3.0indirect
PyPImsgpack1.2.3indirect
PyPImultidict6.9.1indirect
PyPImultiprocess0.70.19indirect
PyPImypy1.20.2indirect
PyPImypy-extensions1.1.0indirect
PyPInest-asyncio21.7.3indirect
PyPInetworkx3.4.2indirect
PyPInetworkx3.6.1indirect
PyPInetworkx3.7indirect
PyPInh30.3.7indirect
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PyPInumpy2.4.6indirect
PyPInvidia-ml-py13.610.43indirect
PyPIopentelemetry-api1.45.0indirect
PyPIpackageurl-python0.17.6indirect
PyPIpackaging26.3indirect
PyPIpandas2.3.3indirect
PyPIpandas3.0.6indirect
PyPIpathlib-abc0.5.2indirect
PyPIpathspec1.1.1indirect
PyPIpillow12.3.0indirect
PyPIpip26.2.1indirect
PyPIpip-api0.0.35indirect
PyPIpip-audit2.10.1indirect
PyPIpip-requirements-parser32.0.1indirect
PyPIplatformdirs4.12.3indirect
PyPIpluggy1.6.0indirect
PyPIpropcache0.5.4indirect
PyPIpy-cpuinfo9.0.0indirect
PyPIpy-serializable2.1.0indirect
PyPIpyarrow25.0.1indirect
PyPIpycparser3.0indirect
PyPIpydantic2.13.5indirect
PyPIpydantic-core2.46.5indirect
PyPIpygments2.21.0indirect
PyPIpyparsing3.3.3indirect
PyPIpyproject-hooks1.3.3indirect
PyPIpytest—indirect
PyPIpytest9.0.3indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.4indirect
PyPIpytz2026.5indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIquantfit-hosted-validation0.0.0indirect
PyPIreadme-renderer46.0indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.9.29indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich15.0.0indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruff—indirect
PyPIruff0.16.2indirect
PyPIs3fs2026.6.0indirect
PyPIs3transfer0.19.2indirect
PyPIsafetensors0.8.0indirect
PyPIscipy—indirect
PyPIscipy1.15.3indirect
PyPIscipy1.17.1indirect
PyPIsecretstorage3.5.0indirect
PyPIsemver3.1.0indirect
PyPIsentencepiece0.2.1indirect
PyPIsetuptools—indirect
PyPIsetuptools84.0.0indirect
PyPIshellingham1.5.4indirect
PyPIshortuuid1.0.13indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoupsieve2.10indirect
PyPIstarlette1.7.0indirect
PyPIsympy1.14.0indirect
PyPItenacity9.1.4indirect
PyPItextual8.2.8indirect
PyPItiktoken0.14.0indirect
PyPItokenizers0.23.2indirect
PyPItomli2.4.0indirect
PyPItomli-w1.2.0indirect
PyPItqdm4.68.2indirect
PyPItwine7.0.0indirect
PyPItyper0.27.2indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPItzdata2026.5indirect
PyPIuniversal-pathlib0.3.10indirect
PyPIurllib32.8.0indirect
PyPIuvicorn0.54.0indirect
PyPIwheel0.48.0indirect
PyPIwin32-setctime1.2.0indirect
PyPIwrapt2.5.0indirect
PyPIxxhash4.0.1indirect
PyPIyarl1.25.1indirect
PyPIzipfile-zstd0.0.4indirect
PyPIzipp4.1.1indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 177 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct. 14 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

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

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

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 v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.