Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 12:13 UTC

lsst / daf_butler

Data Access abstraction framework for the Rubin Observatory

PythonCustom license★ 15 stars⑂ 20 forkssince Oct 2017View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#hacktoberfest#python#astronomy#pipeline-middleware

lsst/daf_butler holds a health index of 90 out of 100, placing it in the Excellent band. It scores highest on Vitality (93/100) and lowest on Community & Adoption (47/100). It was last updated 2 days ago. 2 contributors account for most of its recent work.

90
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.

90
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 76 is calibrated to 90 on the published index scale (record calibration 2026-08-02).

Ownership

lsstOrganization
303 followers453 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-butler30.2026.37004,6522972 days agolsst

Metrics by category

Vitality

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

93Exceptional · 21% of overall

Development activity

96Exceptional
How it's scored
36/36Push recency — last push 2 days ago
32.5/36Commit cadence — 47/52 weeks with commits
18/18Commit volume — 501 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_year501
human_commit_share0.96
days_since_last_push2
active_weeks_last_year47

Release discipline

88Excellent
How it's scored
16.2/27Ships releases — 13 version tags (no GitHub releases)
36/36Release recency — latest release 29 days ago
27/27Release cadence — a release every ~20.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count13
latest_release_tag30.0.11
releases_from_tagsyes
days_since_latest_release29
mean_days_between_releases20.9
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?

47Weak · 17% of overall

Popularity & adoption

35Weak
How it's scored
18.6/60Stars — 15 stars
10.7/25Forks — 20 forks
5.6/15Watchers — 11 watchers
Inputs used
forks20
stars15
watchers11
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonbelow_threshold

Community health

51Moderate
How it's scored
22.5/22.5README
16.9/22.5License — license 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_badges2
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicescodecov.io, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

61Moderate
How it's scored
48.9/80Monthly downloads — 4,652 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageslsst-daf-butler
dependents—
ecosystemspypi
total_downloads—
monthly_downloads4,652
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?

77Good · 23% of overall

Maintainer resilience (bus factor)

61Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.7/22.5Commit distribution — top contributor authored 44% of commits
13.5/13.5Contributor breadth — 49 contributors
10/10OpenSSF Scorecard: Contributors — project has 46 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled49
top_contributor_share0.436

Issue & PR responsiveness

82Excellent
How it's scored
28/42Issue resolution — 67% of issues closed
28.4/30PR acceptance — 1,327/1,404 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs1,327
open_issues1
closed_issues2
prs_merged_7d0
prs_decided_7d0
prs_merged_30d9
prs_decided_30d11
issue_closed_ratio0.667
closed_unmerged_prs77
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

73Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
17.9/25Owner reach — 303 followers of lsst
25/25Track record — 453 public repos, account ~14 yr old
Inputs used
followers303
owner_typeOrganization
is_verifiedno
owner_loginlsst
public_repos453
account_age_days5,443

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 2 days ago
20/20Version history — 297 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageslsst-daf-butler
ecosystemspypi
any_deprecatedno
min_days_since_publish2

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 11 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff], [tool.black], [tool.isort]), setup.cfg ([flake8])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 8 out of 8 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
10/10Topics — 4 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?

72Good · 16% of overall

Security posture

65Good
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 — 8 out of 8 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
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 46 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — 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
0.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
3.8/7.5Vulnerabilities — 5 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.5
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
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages24
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:lsst-daf-butler@30.2026.3700 runtime dependency closure — what installing the published package pulls in — 24 packages. 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.

58Moderate · 4% of overall

Agent context & guidance

28At Risk
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
27.8/40Legible commit history — 50 of 96 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.521
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

73Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff], [tool.black], [tool.isort]), setup.cfg ([flake8])
11/11Static type checking — mypy.ini, python/lsst/daf/butler/py.typed
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 27 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 4 of the last 100 commits are automated dependency updates
1/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsmypy.ini, python/lsst/daf/butler/py.typed
agent_commit_share0.27
toolchain_manifests—
dependency_bot_commit_share0.04

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (mypy.ini, python/lsst/daf/butler/py.typed)
52.6/55Manageable file sizes — 17/394 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes198,970
source_files_sampled394
oversized_source_files17

Key facts

15GitHub stars
49contributors
501commits, last 12 months
2days since last push
13releases
2bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-04-17: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 15 stars today.

More detail

Star and fork history 15 ★ / 20 ⇿
15Stars
20Forks
9Releases

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.

Star history is shown as collected on 2026-04-17. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

048121620152022018-032022-042026-05
Major 1Minor 0Patch 8

Each point covers 8 days.

OpenSSF Scorecard 6.5 / 10
6.5aggregate

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 · 2026-09-12 12:12 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests8 out of 8 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
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
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
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
5Vulnerabilities5 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-sphgeom—pyproject.toml
PyPIlsst-utils—pyproject.toml
PyPIlsst-resources—pyproject.toml
PyPIdeprecated>= 1.2pyproject.toml
PyPIpydantic>=2,<3.0pyproject.toml
PyPIpyarrow>= 0.16pyproject.toml
PyPInumpy—pyproject.toml
All dependencies 238

Full resolved dependency set from the GitHub dependency graph: 18 direct and 220 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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Dependency advisories 0

Installing pypi:lsst-daf-butler@30.2026.3700 pulls in 24 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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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.