Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-28 10:41 UTC

aiidateam / plumpy

A python workflows library that supports writing Processes with a well defined set of inputs and outputs that can be strung together.

PythonCustom license★ 9 stars⑂ 21 forkssince Mar 2017View on GitHub ↗

aiidateam/plumpy holds a health index of 75 out of 100, placing it in the Good band. It scores highest on Engineering Quality (92/100) and lowest on Community & Adoption (45/100). It was last updated 7 days ago. 2 contributors account for most of its recent work.

75
overall / 100
Good

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.

75
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 65 is calibrated to 75 on the published index scale (record calibration 2026-08-02).

Ownership

AiiDA teamOrganization
93 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
PyPIplumpy0.26.162,537803 days agoworkflowmultithreadedrabbitmq

Metrics by category

Vitality

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

58Moderate · 21% of overall
How it's scored
36/36Push recencylast push 7 days ago
3.5/36Commit cadence5/52 weeks with commits
12.1/18Commit volume21 commits in the last year
4/10OpenSSF Scorecard: Maintained5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
Inputs used
commits_last_year21
human_commit_share1
days_since_last_push7
active_weeks_last_year5
How it's scored
27/27Ships releases15 releases published
16.2/36Release recencylatest release 184 days ago
12.6/27Release cadencea release every ~134.7 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count15
latest_release_tagv0.26.0
releases_from_tagsno
days_since_latest_release184
mean_days_between_releases134.7
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?

45Weak · 17% of overall
How it's scored
14.6/60Stars9 stars
10.8/25Forks21 forks
0/15Watchers2 watchers
Inputs used
forks21
stars9
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5Licenselicense file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno
How it's scored
63.9/80Monthly downloads62,537 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesplumpy
dependents
ecosystemspypi
total_downloads
monthly_downloads62,537
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
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
11.8/22.5Commit distributiontop contributor authored 47% of commits
13.5/13.5Contributor breadth16 contributors
10/10OpenSSF Scorecard: Contributorsproject has 23 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled16
top_contributor_share0.474
How it's scored
33/42Issue resolution79% of issues closed
24.8/30PR acceptance196/237 decided PRs merged
13/13Newcomer PR acceptance1/1 first-time contributors' PRs merged in 30d
7.5/15OpenSSF Scorecard: Code-ReviewFound 9/18 approved changesets -- score normalized to 5
Inputs used
merged_prs196
open_issues22
closed_issues81
prs_merged_7d0
prs_decided_7d0
prs_merged_30d5
prs_decided_30d5
issue_closed_ratio0.786
closed_unmerged_prs41
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
14.2/25Owner reach93 followers of aiidateam
25/25Track record82 public repos, account ~9 yr old
Inputs used
followers93
owner_typeOrganization
is_verifiedno
owner_loginaiidateam
public_repos82
account_age_days3,635

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 3 days ago
20/20Version history80 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesplumpy
ecosystemspypi
any_deprecatedno
min_days_since_publish3

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows2 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
12/20OpenSSF Scorecard: CI-Tests12 out of 18 merged PRs checked by a CI test -- score normalized to 6
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://plumpy.readthedocs.io
10/10Repository description
10/10Topics3 topics
10/10Wiki
Inputs used
topicspython, aiida, rabbitmq
has_wikiyes
homepagehttps://plumpy.readthedocs.io
docs_sitehttps://plumpy.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

49Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
1.5/2.5CI-Tests12 out of 18 merged PRs checked by a CI test -- score normalized to 6
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3.8/7.5Code-ReviewFound 9/18 approved changesets -- score normalized to 5
2.5/2.5Contributorsproject has 23 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.2/2.5Licenselicense file detected
3/7.5Maintained5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
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
0/7.5Vulnerabilities80 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate3.6
Excluded from scoring (no data or not applicable): Branch-Protection, 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_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:plumpy@0.26.1 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.

71Good · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt)llms.txt served by the project website (https://tox.readthedocs.io/llms.txt)
36.3/40Legible commit history68 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://tox.readthedocs.io/llms.txt
legible_history_share0.68
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff])
11/11Static type checkingsrc/plumpy/py.typed
10/10Reproducible environmentDockerfile, lockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
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_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configssrc/plumpy/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (src/plumpy/py.typed)
55/55Manageable file sizes0/54 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes54,998
source_files_sampled54
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, notebooks
Inputs used
example_dirsexamples, notebooks
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

9GitHub stars
16contributors
21commits, last 12 months
7days since last push
15releases
2bus factor
22open 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 ★ / 21 ⇿
0Stars
21Forks
15Releases

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.

048121620242112017-042021-122026-08
Major 0Minor 7Patch 8

Each point covers 9 days.

OpenSSF Scorecard 3.6 / 10
3.6aggregate

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 · 2026-08-28 10:41 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
6CI-Tests12 out of 18 merged PRs checked by a CI test -- score normalized to 6
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
5Code-ReviewFound 9/18 approved changesets -- score normalized to 5
10Contributorsproject has 23 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
4Maintained5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
n/aPackagingpackaging workflow not 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
0Vulnerabilities80 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIgreenback~=1.0pyproject.toml
PyPIgreenlet>=3.2.4pyproject.toml
PyPIkiwipy~=0.9.0pyproject.toml
PyPIpyyaml~=6.0pyproject.toml
All dependencies 154

Full resolved dependency set from the GitHub dependency graph: 5 direct and 149 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIsphinxcontrib-applehelp2.0.0indirect
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Dependency advisories 0

Installing pypi:plumpy@0.26.1 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.

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.