Public record
Software health reportschema 0.17.0 · metrics 2.10.0 · 2026-07-21 06:08 UTC

lsst / daf_butler

Data Access abstraction framework for the Rubin Observatory

PythonCustom license★ 15 stars⑂ 20 forkssince Oct 2017View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

lsst/daf_butler holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Vitality (94/100) and lowest on Community & Adoption (42/100). It was last updated today. 2 contributors account for most of its recent work.

89
overall / 100
Excellent

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.

89
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 75 is calibrated to 89 on the published index scale (record calibration 2026-08-02).

Ownership

lsstOrganization
296 followers443 public repossince Oct 2011

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIlsst-daf-butler30.2026.2900-2844 days agolsst

Metrics by category

Vitality

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

94Exceptional · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
33.9/36Commit cadence49/52 weeks with commits
18/18Commit volume465 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year465
human_commit_share
days_since_last_push0
active_weeks_last_year49
How it's scored
16.2/27Ships releases13 version tags (no GitHub releases)
36/36Release recencylatest release 5 days ago
27/27Release cadencea release every ~19.7 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count13
latest_release_tag30.0.9
releases_from_tagsyes
days_since_latest_release5
mean_days_between_releases19.7
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?

42Weak · 17% of overall
How it's scored
18.6/60Stars15 stars
10.7/25Forks20 forks
5.6/15Watchers11 watchers
Inputs used
forks20
stars15
watchers11
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonbelow_threshold
How it's scored
22.5/22.5README
16.9/22.5Licenselicense file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateyes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

80Excellent · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
12.8/22.5Commit distributiontop contributor authored 43% of commits
13.5/13.5Contributor breadth50 contributors
10/10OpenSSF Scorecard: Contributorsproject has 46 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled50
top_contributor_share0.433
How it's scored
28/42Issue resolution67% of issues closed
28.5/30PR acceptance1,307/1,378 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
9/15OpenSSF Scorecard: Code-ReviewFound 6/9 approved changesets -- score normalized to 6
Inputs used
merged_prs1,307
open_issues1
closed_issues2
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.667
closed_unmerged_prs71
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
17.8/25Owner reach296 followers of lsst
25/25Track record443 public repos, account ~14 yr old
Inputs used
followers296
owner_typeOrganization
is_verified
owner_loginlsst
public_repos443
account_age_days5,390
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 4 days ago
20/20Version history284 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packageslsst-daf-butler
ecosystemspypi
any_deprecatedno
min_days_since_publish4

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall
How it's scored
24/24CI workflows11 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests9 out of 9 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics4 topics
10/10Wiki
Inputs used
topicshacktoberfest, python, astronomy, pipeline-middleware
has_wikiyes
homepage
docs_site
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

69Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
2.5/2.5CI-Tests9 out of 9 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4.5/7.5Code-ReviewFound 6/9 approved changesets -- score normalized to 6
2.5/2.5Contributorsproject has 46 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.2/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
5/5SASTSAST tool is run on all commits
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0.8/7.5Vulnerabilities9 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.1
Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories27
affected_packages4
assessed_packages83
unassessed_packages2
affected_by_severitycritical 1, high 2, moderate 1
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 83 resolved dependencies against OSV. 2 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.

46Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
11/11Static type checkingmypy.ini, python/lsst/daf/butler/py.typed
10/10Reproducible environmentDockerfile
0/10Demonstrated agent practiceno data
5/8Automated maintenancedependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configsmypy.ini, python/lsst/daf/butler/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
27/45Type-checkable codePython with type-check config (mypy.ini, python/lsst/daf/butler/py.typed)
52.6/55Manageable file sizes17/392 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes197,571
source_files_sampled392
oversized_source_files17

Key facts

15GitHub stars
50contributors
465commits, last 12 months
0days since last push
13releases
2bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

  • deps.dev does not index pypi:lsst-daf-butler@30.2026.2900; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 15 ★ / 0 ⇿
15Stars

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

03581013151512018-032022-032026-04

Each point covers 8 days.

OpenSSF Scorecard 6.1 / 10
6.1aggregate

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 · 2026-07-21 06:06 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests9 out of 9 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6Code-ReviewFound 6/9 approved changesets -- score normalized to 6
10Contributorsproject has 46 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
1Vulnerabilities9 existing vulnerabilities detected
Direct dependencies 11
RegistryPackageVersion constraintManifest
PyPIastropy>=7.0pyproject.toml
PyPIpyyaml>=5.1pyproject.toml
PyPIsqlalchemy>=1.4pyproject.toml
PyPIclick>= 7.0pyproject.toml
PyPIlsst-sphgeompyproject.toml
PyPIlsst-utilspyproject.toml
PyPIlsst-resourcespyproject.toml
PyPIdeprecated>= 1.2pyproject.toml
PyPIpydantic>=2,<3.0pyproject.toml
PyPIpyarrow>= 0.16pyproject.toml
PyPInumpypyproject.toml
All dependencies 85

Full resolved dependency set from the GitHub dependency graph: 11 direct and 74 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIastropy7.2.0direct
PyPIclick8.4.1direct
PyPIdeprecated1.3.1direct
PyPIlsst-resources30.2026.2300direct
PyPIlsst-sphgeom30.2026.1600direct
PyPIlsst-utils30.2026.2300direct
PyPInumpy2.4.6direct
PyPIpyarrow24.0.0direct
PyPIpydantic2.13.4direct
PyPIpyyaml6.0.3direct
PyPIsqlalchemy2.0.50direct
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.13.0indirect
PyPIasn1crypto1.5.1indirect
PyPIastropy-iers-data0.2026.6.8.17.49.5indirect
PyPIbackoff2.2.1indirect
PyPIboto31.43.25indirect
PyPIbotocore1.43.25indirect
PyPIcertifi2026.5.20indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIcontourpy1.3.3indirect
PyPIcryptography48.0.0indirect
PyPIcycler0.12.1indirect
PyPIdefusedxml0.7.1indirect
PyPIdocumenteerindirect
PyPIfastapi0.136.3indirect
PyPIfonttools4.63.0indirect
PyPIfsspec2026.4.0indirect
PyPIgidgethub5.4.0indirect
PyPIgreenlet3.5.1indirect
PyPIh110.16.0indirect
PyPIhpgeom1.5.4indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIjmespath1.1.0indirect
PyPIkiwisolver1.5.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib3.10.9indirect
PyPImoto5.2.2indirect
PyPIpackaging26.2indirect
PyPIpandas2.3.3indirect
PyPIpg80001.31.5indirect
PyPIpillow12.2.0indirect
PyPIpluggy1.6.0indirect
PyPIpsutil7.2.2indirect
PyPIpsycopg22.9.12indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-settings2.14.1indirect
PyPIpyerfa2.0.1.5indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpyparsing3.3.2indirect
PyPIpytest9.0.3indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpytz2026.2indirect
PyPIrequests2.34.2indirect
PyPIresponses0.26.1indirect
PyPIs3fs0.4.2indirect
PyPIs3transfer0.18.0indirect
PyPIsafir15.1.0indirect
PyPIsafir-logging15.1.0indirect
PyPIscramp1.4.8indirect
PyPIsentry-sdk2.62.0indirect
PyPIsix1.17.0indirect
PyPIsphinx-clickindirect
PyPIstarlette1.2.1indirect
PyPIstructlog26.1.0indirect
PyPItesting-common-database2.0.3indirect
PyPItesting-postgresql1.3.0indirect
PyPIthreadpoolctl3.6.0indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.2indirect
PyPIuritemplate4.2.0indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.49.0indirect
PyPIwerkzeug3.1.8indirect
PyPIwrapt2.2.1indirect
PyPIxmltodict1.0.4indirect
Dependency advisories 4

This repository publishes no package the index resolves, so its own dependency graph was assessed — 83 packages, which also include development and test pins that never ship: 4 carry known advisories, of which 0 are direct. 2 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
pillow12.2.0indirectcritical2112.3.0
cryptography48.0.0indirecthigh148.0.1
starlette1.2.1indirecthigh41.3.1
pydantic-settings2.14.1indirectmoderate12.14.2

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 v0.17.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.