Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-13 04:55 UTC

taverntesting / tavern

A command-line tool and Python library and Pytest plugin for automated testing of RESTful APIs, with a simple, concise and flexible YAML-based syntax

PythonMIT★ 1,151 stars⑂ 201 forkssince Nov 2017View on GitHub ↗
KindPluginCommand-line toolLibraryhow this is determined

taverntesting/tavern holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on AI Readiness (55/100). It was last updated 7 days ago. A single contributor accounts for most of its recent work.

91
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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

taverntestingOrganization
8 followers5 public repossince Nov 2017

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPItavern3.6.1-22059 days agotestingpytest

Metrics by category

Vitality

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

84Excellent · 21% of overall
How it's scored
36/36Push recencylast push 7 days ago
18.7/36Commit cadence27/52 weeks with commits
16.7/18Commit volume71 commits in the last year
10/10OpenSSF Scorecard: Maintained24 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year71
human_commit_share0.9
days_since_last_push7
active_weeks_last_year27
How it's scored
16.2/27Ships releases71 version tags (no GitHub releases)
36/36Release recencylatest release 59 days ago
27/27Release cadencea release every ~12.9 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count71
latest_release_tag3.6.1
releases_from_tagsyes
days_since_latest_release59
mean_days_between_releases12.9
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?

73Good · 17% of overall
How it's scored
49.6/60Stars1,151 stars
19.2/25Forks201 forks
7.6/15Watchers24 watchers
Inputs used
forks201
stars1,151
watchers24
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, readthedocs.org, shields.io
has_pull_request_templateno

Sustainability & Governance

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

69Good · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
4.3/22.5Commit distributiontop contributor authored 81% of commits
13.5/13.5Contributor breadth62 contributors
10/10OpenSSF Scorecard: Contributorsproject has 4 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled62
top_contributor_share0.811
How it's scored
41/42Issue resolution98% of issues closed
23.2/30PR acceptance345/447 decided PRs merged
13/13Newcomer PR acceptance1/1 first-time contributors' PRs merged in 30d
7.5/15OpenSSF Scorecard: Code-ReviewFound 12/23 approved changesets -- score normalized to 5
Inputs used
merged_prs345
open_issues15
closed_issues606
prs_merged_7d0
prs_decided_7d0
prs_merged_30d3
prs_decided_30d4
issue_closed_ratio0.976
closed_unmerged_prs102
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
6.9/25Owner reach8 followers of taverntesting
17.7/25Track record5 public repos, account ~8 yr old
Inputs used
followers8
owner_typeOrganization
is_verified
owner_logintaverntesting
public_repos5
account_age_days3,206
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 59 days ago
20/20Version history220 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagestavern
ecosystemspypi
any_deprecatedno
min_days_since_publish59

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows1 workflow(s)
24/24Tests present
16/16Linter configtox.ini
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests26 out of 26 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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://taverntesting.github.io/
10/10Repository description
10/10Topics8 topics
0/10Wiki
Inputs used
topicspython, pytest, testing, test-automation, mqtt, http, grpc, grpc-python
has_wikino
homepagehttps://taverntesting.github.io/
docs_sitehttps://taverntesting.github.io/
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-Artifactsno binaries found in the repo
3.8/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests26 out of 26 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
3.8/7.5Code-ReviewFound 12/23 approved changesets -- score normalized to 5
2.5/2.5Contributorsproject has 4 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
7.5/7.5Maintained24 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
2.5/5SASTSAST tool is not run on all commits -- score normalized to 5
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
7.5/7.5Token-PermissionsGitHub workflow tokens follow principle of least privilege
4.5/7.5Vulnerabilities4 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.7
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 advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages28
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:tavern@3.6.1 runtime dependency closure — what installing the published package pulls in — 28 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.

55Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
37.3/40Legible commit history63 of 90 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.7
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format configtox.ini
0/11Static type checking
10/10Reproducible environmentDockerfile, lockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance10 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.1
How it's scored
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/108 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes22,131
source_files_sampled108
oversized_source_files0
How it's scored
40/40API schema (OpenAPI/GraphQL/proto)example/graphql/tests/multiple_operations.graphql, example/grpc/helloworld_v1_precompiled.proto, example/grpc/helloworld_v2_compiled.proto, example/grpc/helloworld_v3_reflected.proto, tests/unit/tavern_grpc/test_services.proto
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexample
Inputs used
example_dirsexample
has_mcp_signalno
api_schema_filesexample/graphql/tests/multiple_operations.graphql, example/grpc/helloworld_v1_precompiled.proto, example/grpc/helloworld_v2_compiled.proto, example/grpc/helloworld_v3_reflected.proto, tests/unit/tavern_grpc/test_services.proto
interfaces_expected_of
Excluded from scoring (no data or not applicable): MCP server. Remaining weights renormalized.

Key facts

1,151GitHub stars
62contributors
71commits, last 12 months
7days since last push
71releases
1bus factor
15open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 201 ⇿
0Stars
201Forks
71Releases

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.

0408012016020019842017-122022-032026-07
Major 2Minor 33Patch 36

Each point covers 8 days.

OpenSSF Scorecard 6.7 / 10
6.7aggregate

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 · 2026-08-13 04:54 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests26 out of 26 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 12/23 approved changesets -- score normalized to 5
10Contributorsproject has 4 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained24 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
5SASTSAST tool is not run on all commits -- score normalized to 5
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
6Vulnerabilities4 existing vulnerabilities detected
Direct dependencies 10
RegistryPackageVersion constraintManifest
PyPIPyYAML>=6.0.1,<7pyproject.toml
PyPIjmespath>=1,<2pyproject.toml
PyPIjsonschema>=4,<5pyproject.toml
PyPIpyjwt>=2.5.0,<3pyproject.toml
PyPIpykwalify>=1.8.0,<2pyproject.toml
PyPIpytest>=8,<10pyproject.toml
PyPIpython-box>=6,<7pyproject.toml
PyPIrequests>=2.22.0,<3pyproject.toml
PyPIsimpleeval>=1.0.3pyproject.toml
PyPIstevedore>=4,<5pyproject.toml
All dependencies 165

Full resolved dependency set from the GitHub dependency graph: 11 direct and 154 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIjmespath1.1.0direct
PyPIjsonschema4.26.0direct
PyPIpyjwtdirect
PyPIpyjwt2.13.0direct
PyPIpykwalify1.8.0direct
PyPIpytest9.1.1direct
PyPIpython-box6.1.0direct
PyPIpyyaml6.0.3direct
PyPIrequests2.34.2direct
PyPIsimpleeval1.0.7direct
PyPIstevedore4.1.1direct
PyPIaiohappyeyeballs2.6.2indirect
PyPIaiohttp3.14.1indirect
PyPIaiosignal1.4.0indirect
PyPIallure-pytest2.16.0indirect
PyPIallure-python-commons2.16.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.14.1indirect
PyPIattrs26.1.0indirect
PyPIbackoff2.2.1indirect
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PyPIcachetools7.1.4indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.7indirect
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PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcolorlog6.10.1indirect
PyPIcoverage7.14.3indirect
PyPIcross-webindirect
PyPIcross-web0.7.0indirect
PyPIcryptography49.0.0indirect
PyPIdistlib0.4.3indirect
PyPIdocopt0.6.2indirect
PyPIdocutils0.23indirect
PyPIexceptiongroup1.3.1indirect
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PyPIflaskindirect
PyPIflask3.1.3indirect
PyPIflask-httpauth4.8.1indirect
PyPIflit3.12.0indirect
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PyPIgoogle-api-python-client2.198.0indirect
PyPIgoogle-auth2.55.1indirect
PyPIgoogle-auth-httplib20.4.0indirect
PyPIgoogleapis-common-protos1.75.0indirect
PyPIgql4.0.0indirect
PyPIgraphql-core3.2.11indirect
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PyPIgrpc-interceptor0.15.4indirect
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PyPIgrpcio-reflection1.71.2indirect
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PyPIgunicorn26.0.0indirect
PyPIh110.16.0indirect
PyPIhttplib20.32.0indirect
PyPIhttptools0.8.0indirect
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PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIitsdangerous2.2.0indirect
PyPIjinja23.1.6indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPImarkupsafe3.0.3indirect
PyPImsgpack1.2.1indirect
PyPImultidict6.7.1indirect
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PyPIpackaging26.2indirect
PyPIpaho-mqtt1.6.1indirect
PyPIpbr7.0.3indirect
PyPIpip26.1.2indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.0indirect
PyPIpropcache0.5.2indirect
PyPIproto-plus1.28.0indirect
PyPIprotobuf5.29.6indirect
PyPIprotobuf-protoc-bin29.5indirect
PyPIpy1.11.0indirect
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PyPIpycparser3.0indirect
PyPIpydanticindirect
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PyPIpydantic-core2.46.4indirect
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PyPIpyproject-api1.10.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
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PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.4.2indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.32indirect
PyPIreferencing0.37.0indirect
PyPIrpds-py2026.5.1indirect
PyPIruamel-yaml0.18.17indirect
PyPIruamel-yaml-clib0.2.15indirect
PyPIruff0.15.20indirect
PyPIschema0.7.8indirect
PyPIsentinel1.0.0indirect
PyPIsetuptools83.0.0indirect
PyPIsix1.17.0indirect
PyPIsortedcontainers2.4.0indirect
PyPIsqlakeyset2.0.1775222100indirect
PyPIsqlalchemyindirect
PyPIsqlalchemy2.0.51indirect
PyPIstarletteindirect
PyPIstarlette1.3.1indirect
PyPIstrawberry-graphqlindirect
PyPIstrawberry-graphql0.319.0indirect
PyPIstrawberry-sqlalchemy-mapperindirect
PyPIstrawberry-sqlalchemy-mapper0.8.0indirect
PyPItabulate0.9.0indirect
PyPItavernindirect
PyPItavern-graphql-example0.1.0indirect
PyPItavern-grpc-example0.1.0indirect
PyPItavern-http-example0.1.0indirect
PyPItavern-mqtt-example0.1.0indirect
PyPItbump6.11.0indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItomlkit0.11.8indirect
PyPItox4.56.1indirect
PyPItox-uv1.35.2indirect
PyPItox-uv-bare1.35.2indirect
PyPItypes-jmespath1.1.0.20260508indirect
PyPItypes-jsonschema4.26.0.20260518indirect
PyPItypes-paho-mqtt1.6.0.20240321indirect
PyPItypes-protobuf5.29.1.20250403indirect
PyPItypes-pyyaml6.0.12.20260518indirect
PyPItypes-requests2.33.0.20260518indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.2indirect
PyPIunidecode1.4.0indirect
PyPIuritemplate4.2.0indirect
PyPIurllib32.7.0indirect
PyPIuv0.11.25indirect
PyPIuvicornindirect
PyPIuvicorn0.49.0indirect
PyPIuvloop0.22.1indirect
PyPIvirtualenv21.5.1indirect
PyPIwatchfiles1.2.0indirect
PyPIwebsockets16.0indirect
PyPIwerkzeug3.1.8indirect
PyPIwheel0.47.0indirect
PyPIyarl1.24.2indirect
Dependency advisories 0

Installing pypi:tavern@3.6.1 pulls in 28 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.

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 v0.31.0 — full methodology · metrics wiki.

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