Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 22:20 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★ 2,579 stars⑂ 550 forkssince Aug 2020View on GitHub ↗

supabase/supabase-py holds a health index of 98 out of 100, placing it in the Exceptional band. It scores highest on Community & Adoption (92/100) and lowest on Security (74/100). It was last updated 1 day ago. 4 contributors account for most of its recent work.

98
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.

98
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 86 is calibrated to 98 on the published index scale (record calibration 2026-08-02).

Ownership

SupabaseOrganization · verified domain
11,657 followers169 public repossince Aug 2019

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIsupabase_auth2.31.0-5898 days ago
PyPIstorage32.31.0-6898 days ago
PyPIrealtime2.31.029,656,3016098 days ago
PyPIsupabase2.31.027,548,16510998 days ago
PyPIsupabase_functions2.31.0-5398 days ago
PyPIpostgrest2.31.0-7098 days ago

Metrics by category

Vitality

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

90Excellent · 21% of overall
How it's scored
36/36Push recency — last push 1 days ago
25.6/36Commit cadence — 37/52 weeks with commits
18/18Commit volume — 148 commits in the last year
10/10OpenSSF Scorecard: Maintained — 22 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year148
human_commit_share0.64
days_since_last_push1
active_weeks_last_year37
How it's scored
27/27Ships releases — 100 releases published
27/36Release recency — latest release 98 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_release98
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?

92Excellent · 17% of overall
How it's scored
55.3/60Stars — 2,579 stars
22.8/25Forks — 550 forks
9.7/15Watchers — 57 watchers
Inputs used
forks550
stars2,579
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_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicescoveralls.io, github.com, shields.io
has_pull_request_templateyes
How it's scored
80/80Monthly downloads — 57,204,466 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagessupabase_auth, storage3, realtime, supabase, supabase_functions, postgrest
dependents—
ecosystemspypi
total_downloads—
monthly_downloads57,204,466
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?

89Excellent · 23% of overall
How it's scored
43.2/54Bus factor — 4 contributor(s) cover half of all commits
16.6/22.5Commit distribution — top contributor authored 26% of commits
13.5/13.5Contributor breadth — 96 contributors
10/10OpenSSF Scorecard: Contributors — project has 25 contributing companies or organizations
Inputs used
bus_factor4
contributors_sampled96
top_contributor_share0.261
How it's scored
39.7/42Issue resolution — 94% of issues closed
19.9/30PR acceptance — 710/1,070 decided PRs merged
2.6/13Newcomer PR acceptance — 2/10 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs710
open_issues22
closed_issues381
prs_merged_7d1
prs_decided_7d4
prs_merged_30d9
prs_decided_30d21
issue_closed_ratio0.945
closed_unmerged_prs360
first_time_authors_30d10
first_time_prs_merged_30d2
first_time_prs_decided_30d10
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
25/25Owner reach — 11,657 followers of supabase
25/25Track record — 169 public repos, account ~7 yr old
Inputs used
followers11,657
owner_typeOrganization
is_verifiedyes
owner_loginsupabase
public_repos169
account_age_days2,574

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 6 package(s) on pypi
35/35Publish recency — latest publish 98 days ago
20/20Version history — 109 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagessupabase_auth, storage3, realtime, supabase, supabase_functions, postgrest
ecosystemspypi
any_deprecatedno
min_days_since_publish98

Engineering Quality

Are baseline engineering and documentation practices in place?

85Excellent · 19% of overall
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff]), src/postgrest/pyproject.toml ([tool.ruff]), src/realtime/pyproject.toml ([tool.ruff]), src/supabase/pyproject.toml ([tool.ruff])
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_configyes
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?

74Good · 16% of overall
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 — 22 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
3.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
3.5/5SAST — SAST tool is not run on all commits -- score normalized to 7
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 — 47 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.8
Excluded from scoring (no data or not applicable): Packaging, 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_packages18
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:supabase_auth@2.31.0 runtime dependency closure — what installing the published package pulls in — 18 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.

83Excellent · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://supabase.com/llms.txt)
40/40Legible commit history — 64 of 64 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://supabase.com/llms.txt
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—
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
11/11Lint / format config — pyproject.toml ([tool.ruff]), src/postgrest/pyproject.toml ([tool.ruff]), src/realtime/pyproject.toml ([tool.ruff]), src/supabase/pyproject.toml ([tool.ruff])
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
10/10Demonstrated agent practice — 7 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 19 of the last 100 commits are automated dependency updates
7/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
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_configyes
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_share0.07
toolchain_manifests—
dependency_bot_commit_share0.19
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_bytes48,398
source_files_sampled165
oversized_source_files0
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

2,579GitHub stars
96contributors
148commits, last 12 months
1days since last push
100releases
4bus factor
22open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • First-time contributor figures cover 12 of 14 authors (cap 12)
  • pypi download statistics for 'supabase_auth' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download statistics for 'storage3' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download statistics for 'supabase_functions' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download statistics for 'postgrest' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

More detail

Star and fork history 0 ★ / 550 ⇿
0Stars
550Forks
100Releases

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.

0100200300400500600544102020-102023-092026-09
Major 2Minor 35Patch 63

Each point covers 6 days.

OpenSSF Scorecard 6.8 / 10
6.8aggregate

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 · 2026-09-10 22:20 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
10Maintained22 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
7SASTSAST tool is not run on all commits -- score normalized to 7
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities47 existing vulnerabilities detected
Direct dependencies 25
RegistryPackageVersion constraintManifest
PyPIhttpx>=0.26,<0.29src/auth/pyproject.toml
PyPIpydantic>=1.10,<3src/auth/pyproject.toml
PyPIpyjwt>=2.12.0src/auth/pyproject.toml
PyPIhttpx>=0.26,<0.29src/functions/pyproject.toml
PyPIstrenum>=0.4.15src/functions/pyproject.toml
PyPIyarl>=1.20.1src/functions/pyproject.toml
PyPIhttpx>=0.26,<0.29src/postgrest/pyproject.toml
PyPIdeprecation>=2.1.0src/postgrest/pyproject.toml
PyPIpydantic>=1.9,<3.0src/postgrest/pyproject.toml
PyPIstrenum>=0.4.9src/postgrest/pyproject.toml
PyPIyarl>=1.20.1src/postgrest/pyproject.toml
PyPIwebsockets>=11,<16src/realtime/pyproject.toml
PyPItyping-extensions>=4.14.0src/realtime/pyproject.toml
PyPIpydantic(>=2.11.7,<3.0.0)src/realtime/pyproject.toml
PyPIhttpx>=0.26,<0.29src/storage/pyproject.toml
PyPIdeprecation>=2.1.0src/storage/pyproject.toml
PyPIpydantic>=2.11.7src/storage/pyproject.toml
PyPIyarl>=1.20.1src/storage/pyproject.toml
PyPIrealtime== 2.31.0src/supabase/pyproject.toml
PyPIsupabase_functions== 2.31.0src/supabase/pyproject.toml
PyPIstorage3== 2.31.0src/supabase/pyproject.toml
PyPIsupabase_auth== 2.31.0src/supabase/pyproject.toml
PyPIpostgrest== 2.31.0src/supabase/pyproject.toml
PyPIhttpx>=0.26,<0.29src/supabase/pyproject.toml
PyPIyarl>=1.22.0src/supabase/pyproject.toml
All dependencies 217

Full resolved dependency set from the GitHub dependency graph: 24 direct and 193 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdeprecation—direct
PyPIdeprecation2.1.0direct
PyPIhttpx—direct
PyPIhttpx0.28.1direct
PyPIpostgrest2.31.0direct
PyPIpydantic—direct
PyPIpydantic2.12.2direct
PyPIpyjwt—direct
PyPIpyjwt2.10.1direct
PyPIpyjwt2.13.0direct
PyPIrealtime2.31.0direct
PyPIstorage32.31.0direct
PyPIstrenum—direct
PyPIstrenum0.4.15direct
PyPIsupabase-auth2.31.0direct
PyPIsupabase-functions0.10.1direct
PyPIsupabase-functions2.31.0direct
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PyPItyping-extensions4.14.1direct
PyPItyping-extensions4.15.0direct
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PyPIpython-lsp-ruff2.3.0indirect
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PyPIsphinx—indirect
PyPIsphinx7.3.7indirect
PyPIsphinx7.4.7indirect
PyPIsphinx8.1.3indirect
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PyPIsphinx-autodoc-typehints2.3.0indirect
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PyPIsphinx-tabs3.4.5indirect
PyPIsphinx-toolbox—indirect
PyPIsphinx-toolbox3.4.0indirect
PyPIsphinx-toolbox4.0.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIstandard-imghdr3.10.14indirect
PyPIstrictyaml1.7.3indirect
PyPIsupabase2.31.0indirect
PyPItabulate0.9.0indirect
PyPItenacity9.1.2indirect
PyPItokenize-rt6.2.0indirect
PyPItomli2.2.1indirect
PyPItomli2.3.0indirect
PyPItyper0.4.2indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.2indirect
PyPIujson5.11.0indirect
PyPIunasync—indirect
PyPIunasync0.5.0indirect
PyPIunasync0.6.0indirect
PyPIunasync-cli0.0.9indirect
PyPIurllib32.6.3indirect
PyPIuv-build—indirect
PyPIvirtualenv20.34.0indirect
PyPIwebencodings0.5.1indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:supabase_auth@2.31.0 pulls in 18 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

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.

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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.