Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 20:28 UTC

mirumee / ariadne

Python library for implementing GraphQL servers using schema-first approach. Created with :heart: by Mirumee

PythonBSD-3-Clause★ 2,342 stars⑂ 195 forkssince Jul 2018View on GitHub ↗
KindLibraryNetwork servicehow this is determined

mirumee/ariadne holds a health index of 93 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (90/100) and lowest on Security (66/100). It was last updated 17 days ago. 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

Mirumee LabsOrganization · verified domain
109 followers76 public repossince Dec 2009

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

Package ecosystems

Metrics by category

Vitality

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

79Good · 21% of overall
How it's scored
28.8/36Push recency — last push 17 days ago
15.9/36Commit cadence — 23/52 weeks with commits
16.9/18Commit volume — 76 commits in the last year
10/10OpenSSF Scorecard: Maintained — 12 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year76
human_commit_share0.99
days_since_last_push17
active_weeks_last_year23
How it's scored
27/27Ships releases — 65 releases published
27/36Release recency — latest release 94 days ago
27/27Release cadence — a release every ~14.7 days
8/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count65
latest_release_tag1.1.0
releases_from_tagsno
days_since_latest_release94
mean_days_between_releases14.7

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

88Excellent · 17% of overall
How it's scored
54.7/60Stars — 2,342 stars
19.1/25Forks — 195 forks
8.7/15Watchers — 38 watchers
Inputs used
forks195
stars2,342
watchers38
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (BSD-3-Clause)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicescodecov.io, shields.io
has_pull_request_templateno
How it's scored
80/80Monthly downloads — 1,905,598 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesariadne
dependents—
ecosystemspypi
total_downloads—
monthly_downloads1,905,598
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?

72Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
6.3/22.5Commit distribution — top contributor authored 72% of commits
13.5/13.5Contributor breadth — 75 contributors
10/10OpenSSF Scorecard: Contributors — project has 10 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled75
top_contributor_share0.72
How it's scored
38.3/42Issue resolution — 91% of issues closed
22.8/30PR acceptance — 571/750 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 4/30 approved changesets -- score normalized to 1
Inputs used
merged_prs571
open_issues30
closed_issues308
prs_merged_7d0
prs_decided_7d0
prs_merged_30d2
prs_decided_30d2
issue_closed_ratio0.911
closed_unmerged_prs179
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.
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
14.7/25Owner reach — 109 followers of mirumee
25/25Track record — 76 public repos, account ~16 yr old
Inputs used
followers109
owner_typeOrganization
is_verifiedyes
owner_loginmirumee
public_repos76
account_age_days6,114

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 94 days ago
20/20Version history — 73 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesariadne
ecosystemspypi
any_deprecatedno
min_days_since_publish94

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 5 out of 5 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://ariadnegraphql.org
10/10Repository description
10/10Topics — 11 topics
0/10Wiki
Inputs used
topicspython, graphql, graphql-server, api, apollo-python, apollo-graphql, ariadne, graphql-python, asgi, django, django-graphql
has_wikino
homepagehttps://ariadnegraphql.org
docs_sitehttps://ariadnegraphql.org
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
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 5 out of 5 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
0.8/7.5Code-Review — Found 4/30 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 10 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 — 12 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
1/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
6/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.7

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_packages5
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:ariadne@1.1.0 runtime dependency closure — what installing the published package pulls in — 5 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.

74Good · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt present
8.1/40Legible commit history — 15 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share0.152
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes2,981
How it's scored
18/18One-command bootstrap — justfile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — ariadne/py.typed
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 1 of the last 100 commits are automated dependency updates
2/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesjustfile
has_devcontainerno
has_linter_configyes
typecheck_configsariadne/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.01
How it's scored
27/45Type-checkable code — Python with type-check config (ariadne/py.typed)
55/55Manageable file sizes — 0/184 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes34,073
source_files_sampled184
oversized_source_files0
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — ariadne/contrib/federation/definitions/fed_v1.0.graphql, ariadne/contrib/federation/definitions/fed_v2.0.graphql, ariadne/contrib/federation/definitions/fed_v2.1.graphql, ariadne/contrib/federation/definitions/fed_v2.2.graphql, ariadne/contrib/federation/definitions/fed_v2.3.graphql, ariadne/contrib/federation/definitions/fed_v2.4.graphql, ariadne/contrib/federation/definitions/fed_v2.5.graphql, ariadne/contrib/federation/definitions/fed_v2.6.graphql, benchmark/schema.graphql
0/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_filesariadne/contrib/federation/definitions/fed_v1.0.graphql, ariadne/contrib/federation/definitions/fed_v2.0.graphql, ariadne/contrib/federation/definitions/fed_v2.1.graphql, ariadne/contrib/federation/definitions/fed_v2.2.graphql, ariadne/contrib/federation/definitions/fed_v2.3.graphql, ariadne/contrib/federation/definitions/fed_v2.4.graphql, ariadne/contrib/federation/definitions/fed_v2.5.graphql, ariadne/contrib/federation/definitions/fed_v2.6.graphql, benchmark/schema.graphql
interfaces_expected_ofnetwork-service

Key facts

2,342GitHub stars
75contributors
76commits, last 12 months
17days since last push
65releases
1bus factor
30open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'ariadne' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for ariadne carried forward from the previous scan (stats endpoint unavailable this scan)

More detail

Star and fork history 0 ★ / 195 ⇿
0Stars
195Forks
65Releases

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.

0408012016020019342018-082022-082026-08
Major 1Minor 29Patch 13

Each point covers 8 days.

OpenSSF Scorecard 5.7 / 10
5.7aggregate

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 · 2026-09-17 20:27 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests5 out of 5 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 4/30 approved changesets -- score normalized to 1
10Contributorsproject has 10 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained12 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
8Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIgraphql-core>=3.2.0pyproject.toml
PyPIstarlette>0.17,<2.0pyproject.toml
PyPItyping_extensions>=4.6.0pyproject.toml
All dependencies 28

Full resolved dependency set from the GitHub dependency graph: 3 direct and 25 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIgraphql-core—direct
PyPIstarlette—direct
PyPItyping-extensions—direct
PyPIaiodataloader—indirect
PyPIappdirs1.4.3indirect
PyPIastroid2.0.4indirect
PyPIatomicwrites1.2.1indirect
PyPIattrs18.2.0indirect
PyPIblack18.9b0indirect
PyPIclick7.0indirect
PyPIisort4.3.4indirect
PyPIlazy-object-proxy1.3.1indirect
PyPImccabe0.6.1indirect
PyPImore-itertools4.3.0indirect
PyPImypy0.641indirect
PyPImypy-extensions0.4.1indirect
PyPIpip-tools3.1.0indirect
PyPIpluggy0.8.0indirect
PyPIpy1.7.0indirect
PyPIpylint2.1.1indirect
PyPIpytest3.9.3indirect
PyPIpython-multipart—indirect
PyPIsix1.11.0indirect
PyPIsqlalchemy—indirect
PyPItoml0.10.0indirect
PyPIty—indirect
PyPItyped-ast1.1.0indirect
PyPIwrapt1.10.11indirect
Dependency advisories 0

Installing pypi:ariadne@1.1.0 pulls in 5 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 v0.34.0 — full methodology · metrics wiki.

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