Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-07 10:34 UTC

aiidateam / aiida-core

The official repository for the AiiDA code

PythonCustom license★ 583 stars⑂ 264 forkssince Dec 2016View on GitHub ↗
KindPluginCommand-line toolLibraryhow this is determined
#aiida#workflow#workflow-engine#provenance#database#ssh#scheduler#data-provenance#workflows#computational-science

aiidateam/aiida-core holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on Security (54/100). It was last updated today. 3 contributors account for most of its recent work.

94
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.

94
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 80 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

AiiDA teamOrganization
94 followers82 public repossince Sep 2016

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIaiida-core2.9.225,4611074 days agoaiidaworkflows

Metrics by category

Vitality

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

99Exceptional · 21% of overall

Development activity

98Exceptional
How it's scored
36/36Push recency — last push 0 days ago
33.9/36Commit cadence — 49/52 weeks with commits
18/18Commit volume — 430 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year430
human_commit_share0.99
days_since_last_push0
active_weeks_last_year49

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 50 releases published
36/36Release recency — latest release 4 days ago
27/27Release cadence — a release every ~24.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count50
latest_release_tagv2.8.3
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases24.8
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?

68Good · 17% of overall

Popularity & adoption

73Good
How it's scored
44.9/60Stars — 583 stars
20.2/25Forks — 264 forks
7.5/15Watchers — 23 watchers
Inputs used
forks264
stars583
watchers23
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

59Moderate
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
0/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges14
has_contributingno
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, codecov.io, github.com, readthedocs.org, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

73Good
How it's scored
58.7/80Monthly downloads — 25,461 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesaiida-core
dependents—
ecosystemspypi
total_downloads—
monthly_downloads25,461
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?

75Good · 23% of overall

Maintainer resilience (bus factor)

76Good
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
16.6/22.5Commit distribution — top contributor authored 26% of commits
13.5/13.5Contributor breadth — 97 contributors
10/10OpenSSF Scorecard: Contributors — project has 49 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled97
top_contributor_share0.262

Issue & PR responsiveness

61Moderate
How it's scored
34.9/42Issue resolution — 83% of issues closed
25.8/30PR acceptance — 3,385/3,940 decided PRs merged
0/13Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/6 approved changesets -- score normalized to 0
Inputs used
merged_prs3,385
open_issues587
closed_issues2,912
prs_merged_7d13
prs_decided_7d14
prs_merged_30d33
prs_decided_30d39
issue_closed_ratio0.832
closed_unmerged_prs555
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1

Ownership & stewardship

69Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
14.2/25Owner reach — 94 followers of aiidateam
25/25Track record — 82 public repos, account ~9 yr old
Inputs used
followers94
owner_typeOrganization
is_verifiedno
owner_loginaiidateam
public_repos82
account_age_days3,645

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 4 days ago
20/20Version history — 107 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesaiida-core
ecosystemspypi
any_deprecatedno
min_days_since_publish4

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 12 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 6 out of 6 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 site — https://aiida-core.readthedocs.io
10/10Repository description
10/10Topics — 10 topics
10/10Wiki
Inputs used
topicsaiida, workflow, workflow-engine, provenance, database, ssh, scheduler, data-provenance, workflows, computational-science
has_wikiyes
homepagehttps://aiida-core.readthedocs.io
docs_sitehttps://aiida-core.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

54Moderate · 16% of overall

Security posture

52Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 6 out of 6 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
0/7.5Code-Review — Found 0/6 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 49 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
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 26 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.2
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

62Moderate
How it's scored
9.7/35Direct dependencies free of known advisories — 3 affected: asyncssh 2.22.0 (high 8.1), click 8.2.2 (high 7.2), paramiko 3.5.1 (low 3.4)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
27.3/40No advisories left outstanding — 3 advisory-carrying package(s) unaddressed past 90 days; oldest published 129 days ago
Inputs used
sourceosv
advisories7
affected_packages3
assessed_packages76
unassessed_packages0
affected_by_severityhigh 2, low 1
direct_affected_packages3
Matched the pypi:aiida-core@2.9.2 runtime dependency closure — what installing the published package pulls in — 76 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.

85Excellent · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 98 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.99
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes12,314

Verify loop (build / test / typecheck)

80Excellent
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/aiida/py.typed
10/10Reproducible environment — devcontainer, Dockerfile, lockfile
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
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontaineryes
has_linter_configyes
typecheck_configssrc/aiida/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.01

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/aiida/py.typed)
54.4/55Manageable file sizes — 12/1,143 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes141,647
source_files_sampled1,143
oversized_source_files12

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 — notebooks
Inputs used
example_dirsnotebooks
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

583GitHub stars
97contributors
430commits, last 12 months
0days since last push
50releases
3bus factor
587open 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 ★ / 264 ⇿
0Stars
264Forks
48Releases

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.

05010015020025030025772016-122021-102026-08
Major 1Minor 14Patch 32

Each point covers 9 days.

OpenSSF Scorecard 5.2 / 10
5.2aggregate

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 · 2026-09-07 10:34 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests6 out of 6 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/6 approved changesets -- score normalized to 0
10Contributorsproject has 49 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
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
0Vulnerabilities26 existing vulnerabilities detected
Direct dependencies 33
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All dependencies 307

Full resolved dependency set from the GitHub dependency graph: 40 direct and 267 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIpytest-datadir1.8.0indirect
PyPIpytest-docker—indirect
PyPIpytest-instafail0.5.0indirect
PyPIpytest-regressions2.11.0indirect
PyPIpytest-rerunfailures12.0indirect
PyPIpytest-timeout2.4.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.5.2indirect
PyPIpython-json-logger4.2.0indirect
PyPIpython-memcached1.62indirect
PyPIpytray0.3.4indirect
PyPIpywin32312indirect
PyPIpywinpty3.0.5indirect
PyPIpyxdg0.28indirect
PyPIpyzmq27.1.0indirect
PyPIrdflib7.6.0indirect
PyPIreferencing0.37.0indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrich15.0.0indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruamel-yaml0.19.1indirect
PyPIscipy1.15.3indirect
PyPIscipy1.17.1indirect
PyPIscipy1.18.0indirect
PyPIscramp1.4.17indirect
PyPIseekpath1.9.7indirect
PyPIsend2trash2.1.0indirect
PyPIsetuptools84.0.0indirect
PyPIshortuuid1.0.13indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsoupsieve2.9.2indirect
PyPIspglib2.7.0indirect
PyPIsphinx7.2.6indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinx-design0.5.0indirect
PyPIsphinx-intl2.1.0indirect
PyPIsphinx-notfound-page1.1.0indirect
PyPIsphinx-sqlalchemy0.2.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsphinxext-rediraffe0.2.7indirect
PyPIstack-data0.6.3indirect
PyPIsympy1.14.0indirect
PyPIterminado0.18.1indirect
PyPItextual8.2.8indirect
PyPItinycss21.5.1indirect
PyPItomli2.0.0indirect
PyPItomli2.4.1indirect
PyPItornado6.5.8indirect
PyPItraitlets5.16.1indirect
PyPItrogon0.6.0indirect
PyPItypes-click-spinner0.1.13.20260712indirect
PyPItypes-docutils0.22.3.20260724indirect
PyPItypes-paramiko3.5.0.20250801indirect
PyPItypes-psutil5.9.5.20240516indirect
PyPItypes-pytz2021.3.8indirect
PyPItypes-pyyaml6.0.12.20260815indirect
PyPItypes-requests2.33.0.20260712indirect
PyPItypes-tabulate0.9.0.20241207indirect
PyPItypes-tqdm4.70.0.20260805indirect
PyPItyping-inspection0.4.4indirect
PyPItzdata2026.3indirect
PyPIuc-micro-py2.0.0indirect
PyPIuncertainties3.2.3indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.7.4indirect
PyPIwcwidth0.8.2indirect
PyPIwebcolors25.10.0indirect
PyPIwebencodings0.6.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwerkzeug3.1.8indirect
PyPIwidgetsnbextension4.0.16indirect
PyPIyarl1.24.5indirect
PyPIzipp4.1.0indirect
Dependency advisories 3

Installing pypi:aiida-core@2.9.2 pulls in 76 packages, direct and transitive: 3 carry known advisories, of which 3 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
asyncssh2.22.0directhigh42.23.1
click8.2.2directhigh18.3.3
paramiko3.5.1directlow2—

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.

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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.