Public record
Software health reportschema 0.12.0 · metrics 2.10.0 · 2026-07-18 14:16 UTC

supabase / supabase-py

Python Client for Supabase. Query Postgres from Flask, Django, FastAPI. Python user authentication, security policies, edge functions, file storage, and realtime data streaming. Good first issue.

PythonMIT★ 2,543 stars⑂ 509 forkssince Aug 2020View on GitHub ↗
#python#community#supabase#auth#authentication#authorization#data-science#databases#django#fastapi#flask#machine-learning#postgres#postgresql#good-first-issue

supabase/supabase-py holds a health index of 95 out of 100, placing it in the Exceptional band. It scores highest on Vitality (94/100) and lowest on AI Readiness (60/100). It was last updated 1 day ago. 2 contributors account for most of its recent work.

95
overall / 100
Exceptional

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.

95
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 82 is calibrated to 95 on the published index scale (record calibration 2026-08-02).

Ownership

SupabaseOrganization
10,879 followers159 public repossince Aug 2019

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

Metrics by category

Vitality

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

94Exceptional · 21% of overall

Development activity

90Excellent
How it's scored
36/36Push recency — last push 1 days ago
25.6/36Commit cadence — 37/52 weeks with commits
18/18Commit volume — 153 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_year153
human_commit_share—
days_since_last_push1
active_weeks_last_year37

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 44 days ago
27/27Release cadence — a release every ~15.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv2.31.0
releases_from_tagsno
days_since_latest_release44
mean_days_between_releases15.7
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?

90Excellent · 17% of overall

Popularity & adoption

88Excellent
How it's scored
55.2/60Stars — 2,543 stars
22.6/25Forks — 509 forks
9.7/15Watchers — 57 watchers
Inputs used
forks509
stars2,543
watchers57
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes

Sustainability & Governance

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

83Excellent · 23% of overall

Maintainer resilience (bus factor)

64Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
14.8/22.5Commit distribution — top contributor authored 34% of commits
13.5/13.5Contributor breadth — 95 contributors
10/10OpenSSF Scorecard: Contributors — project has 25 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled95
top_contributor_share0.343

Issue & PR responsiveness

88Excellent
How it's scored
41.2/42Issue resolution — 98% of issues closed
20.2/30PR acceptance — 696/1,036 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_prs696
open_issues7
closed_issues374
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.982
closed_unmerged_prs340
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.

Ownership & stewardship

100Exceptional
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
25/25Owner reach — 10,879 followers of supabase
25/25Track record — 159 public repos, account ~6 yr old
Inputs used
followers10,879
owner_typeOrganization
is_verified—
owner_loginsupabase
public_repos159
account_age_days2,520
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

76Good · 19% of overall

Engineering practices

66Good
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://supabase.com/docs/reference/python
10/10Repository description
10/10Topics — 15 topics
0/10Wiki
Inputs used
topicspython, community, supabase, auth, authentication, authorization, data-science, databases, django, fastapi, flask, machine-learning, postgres, postgresql, good-first-issue
has_wikino
homepagehttps://supabase.com/docs/reference/python
docs_sitehttps://supabase.com/docs/reference/python
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

66Good · 16% of overall

Security posture

66Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.2/2.5CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9
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 25 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
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
3/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
2.5/5SAST — SAST tool is not run on all commits -- score normalized to 5
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 40 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.6
Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.

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.

60Moderate · 4% of overall

Agent context & guidance

1Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no 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.

Verify loop (build / test / typecheck)

80Excellent
How it's scored
18/18One-command bootstrap — Makefile, docs/Makefile, src/auth/Makefile, src/auth/docs/Makefile, src/functions/Makefile, src/postgrest/Makefile, src/postgrest/docs/Makefile, src/realtime/Makefile, src/storage/Makefile, src/supabase/Makefile
22/22Automated tests
0/11Lint / format config
11/11Static type checking — src/auth/src/supabase_auth/py.typed, src/functions/src/supabase_functions/py.typed, src/postgrest/src/postgrest/py.typed, src/realtime/src/realtime/py.typed, src/storage/src/storage3/py.typed, src/supabase/src/supabase/py.typed
10/10Reproducible environment — devcontainer, Dockerfile, Nix, lockfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
6/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 6
Inputs used
has_nixyes
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, docs/Makefile, src/auth/Makefile, src/auth/docs/Makefile, src/functions/Makefile, src/postgrest/Makefile, src/postgrest/docs/Makefile, src/realtime/Makefile, src/storage/Makefile, src/supabase/Makefile
has_devcontaineryes
has_linter_configno
typecheck_configssrc/auth/src/supabase_auth/py.typed, src/functions/src/supabase_functions/py.typed, src/postgrest/src/postgrest/py.typed, src/realtime/src/realtime/py.typed, src/storage/src/storage3/py.typed, src/supabase/src/supabase/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.

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/auth/src/supabase_auth/py.typed, src/functions/src/supabase_functions/py.typed, src/postgrest/src/postgrest/py.typed, src/realtime/src/realtime/py.typed, src/storage/src/storage3/py.typed, src/supabase/src/supabase/py.typed)
55/55Manageable file sizes — 0/165 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes48,394
source_files_sampled165
oversized_source_files0

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

2,543GitHub stars
95contributors
153commits, last 12 months
1days since last push
100releases
2bus factor
7open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 6.6 / 10
6.6aggregate

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 · 2026-07-18 14:16 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
9CI-Tests29 out of 30 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 25 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate 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
n/aPackagingpackaging workflow not detected
6Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 6
5SASTSAST tool is not run on all commits -- score normalized to 5
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities40 existing vulnerabilities detected
All dependencies 217

Full resolved dependency set from the GitHub dependency graph: 0 direct and 217 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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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 v0.12.0 — full methodology · metrics wiki.

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