Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-29 13:25 UTC

dbfixtures / pytest-postgresql

This is a pytest plugin, that enables you to test your code that relies on a running PostgreSQL Database. It allows you to specify fixtures for PostgreSQL process and client.

PythonLGPL-3.0★ 529 stars⑂ 54 forkssince Sep 2016View on GitHub ↗
KindPluginLibraryhow this is determined

dbfixtures/pytest-postgresql holds a health index of 93 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (96/100) and lowest on Sustainability & Governance (65/100). It was last updated today. A single contributor accounts for most of its recent work.

93
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.

93
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 79 is calibrated to 93 on the published index scale (record calibration 2026-08-02).

Ownership

4 followers9 public repossince Feb 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpytest-postgresql9.0.06,182,438471 day agofixturepostgresqlpytesttests

Metrics by category

Vitality

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

91Excellent · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
35.3/36Commit cadence51/52 weeks with commits
18/18Commit volume445 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year445
human_commit_share0.44
days_since_last_push0
active_weeks_last_year51
How it's scored
16.2/27Ships releases47 version tags (no GitHub releases)
36/36Release recencylatest release 1 days ago
19.8/27Release cadencea release every ~100 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count47
latest_release_tagv9.0.0
releases_from_tagsyes
days_since_latest_release1
mean_days_between_releases100
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?

75Good · 17% of overall
How it's scored
44.2/60Stars529 stars
14.4/25Forks54 forks
4.3/15Watchers7 watchers
Inputs used
forks54
stars529
watchers7
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (LGPL-3.0)
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_servicesshields.io
has_pull_request_templateno
How it's scored
80/80Monthly downloads6,182,438 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagespytest-postgresql
dependents
ecosystemspypi
total_downloads
monthly_downloads6,182,438
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?

65Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
11.1/22.5Commit distributiontop contributor authored 51% of commits
13.5/13.5Contributor breadth42 contributors
10/10OpenSSF Scorecard: Contributorsproject has 15 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled42
top_contributor_share0.507
How it's scored
39.5/42Issue resolution94% of issues closed
28.7/30PR acceptance1,193/1,246 decided PRs merged
13/13Newcomer PR acceptance1/1 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-ReviewFound 1/8 approved changesets -- score normalized to 1
Inputs used
merged_prs1,193
open_issues11
closed_issues171
prs_merged_7d7
prs_decided_7d7
prs_merged_30d12
prs_decided_30d12
issue_closed_ratio0.94
closed_unmerged_prs53
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domain
5/25Owner reach4 followers of dbfixtures
10.3/25Track record9 public repos, account ~1 yr old
Inputs used
followers4
owner_typeOrganization
is_verifiedno
owner_logindbfixtures
public_repos9
account_age_days555

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 1 days ago
20/20Version history47 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagespytest-postgresql
ecosystemspypi
any_deprecatedno
min_days_since_publish1

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows13 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests15 out of 15 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://pypi.python.org/pypi/pytest-postgresql/
10/10Repository description
10/10Topics4 topics
10/10Wiki
Inputs used
topicspython, pytest-plugin, postgresql, pytest
has_wikiyes
homepagehttps://pypi.python.org/pypi/pytest-postgresql/
docs_sitehttps://pypi.python.org/pypi/pytest-postgresql/
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
2.2/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests15 out of 15 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
0.8/7.5Code-ReviewFound 1/8 approved changesets -- score normalized to 1
2.5/2.5Contributorsproject has 15 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 14 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
4/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.1
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 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
advisories0
affected_packages0
assessed_packages49
unassessed_packages5
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 49 resolved dependencies against OSV. 5 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.

67Good · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history33 of 44 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.75
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff])
11/11Static type checkingpytest_postgresql/py.typed
10/10Reproducible environmentlockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance24 of the last 100 commits are automated dependency updates
8/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configspytest_postgresql/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.24
How it's scored
27/45Type-checkable codePython with type-check config (pytest_postgresql/py.typed)
55/55Manageable file sizes0/43 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes41,948
source_files_sampled43
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples
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

529GitHub stars
42contributors
445commits, last 12 months
0days since last push
47releases
1bus factor
11open 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:pytest-postgresql@9.0.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 54 ⇿
0Stars
54Forks
44Releases

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.

01020304050605422016-122021-102026-08
Major 7Minor 14Patch 23

Each point covers 9 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 · 2026-08-29 13:24 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests15 out of 15 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 1/8 approved changesets -- score normalized to 1
10Contributorsproject has 15 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 14 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPImirakuru>=2.6.0pyproject.toml
PyPIpackagingpyproject.toml
PyPIport-for>=0.7.3pyproject.toml
PyPIpsycopg>=3.0.0pyproject.toml
PyPIpytest>=8.2pyproject.toml
All dependencies 54

Full resolved dependency set from the GitHub dependency graph: 11 direct and 43 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPImirakuru2.6.0direct
PyPImirakuru3.0.2direct
PyPIpackaging23.2direct
PyPIpackaging26.2direct
PyPIpackaging26.3direct
PyPIport-for0.7.3direct
PyPIport-for1.0.0direct
PyPIpsycopg3.0.0direct
PyPIpsycopg3.3.4direct
PyPIpytest9.0.3direct
PyPIpytest9.1.1direct
PyPIaiofilesindirect
PyPIaiofiles23.2.1indirect
PyPIaiofiles25.1.0indirect
PyPIast-serialize0.6.0indirect
PyPIbackports-asyncio-runner1.2.0indirect
PyPIcli-ui0.19.0indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcoverageindirect
PyPIcoverage7.15.4indirect
PyPIdocopt0.6.2indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIlibrt0.13.0indirect
PyPImarkupsafe3.0.3indirect
PyPImock5.2.0indirect
PyPImypy2.3.0indirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPIpathspec1.1.1indirect
PyPIpluggy1.6.0indirect
PyPIpsutil7.2.2indirect
PyPIpsycopg-binary3.3.4indirect
PyPIpygments2.20.0indirect
PyPIpytest-asyncioindirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-postgresql9.0.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIschema0.7.8indirect
PyPIsetuptoolsindirect
PyPItabulate0.9.0indirect
PyPItbump6.11.0indirect
PyPItomli2.4.1indirect
PyPItomlkit0.11.8indirect
PyPItowncrier25.8.0indirect
PyPItypes-aiofilesindirect
PyPItypes-aiofiles25.1.0.20260518indirect
PyPItypes-setuptools83.0.0.20260716indirect
PyPItyping-extensions4.16.0indirect
PyPItzdata2026.3indirect
PyPIunidecode1.4.0indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 49 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct. 5 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 statisticsPyPI.