Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-05 23:13 UTC

Pipelex / pipelex

Declarative language for composable Al workflows. Devtool for agents and mere humans.

PythonMIT★ 852 stars⑂ 75 forkssince May 2025View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

Pipelex/pipelex holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Vitality (97/100) and lowest on Security (50/100). It was last updated 1 day 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

PipelexOrganization · verified domain
48 followers26 public repossince Sep 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIpipelex0.56.0-1652 days ago

Metrics by category

Vitality

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

97Exceptional · 21% of overall
How it's scored
36/36Push recencylast push 1 days ago
33.2/36Commit cadence48/52 weeks with commits
18/18Commit volume1,027 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,027
human_commit_share1
days_since_last_push1
active_weeks_last_year48

Release discipline

96Exceptional
How it's scored
27/27Ships releases100 releases published
36/36Release recencylatest release 2 days ago
27/27Release cadencea release every ~1.6 days
6/10OpenSSF Scorecard: Signed-Releases4 out of the last 5 releases have a total of 4 signed artifacts.
Inputs used
releases_count100
latest_release_tagv0.56.0
releases_from_tagsno
days_since_latest_release2
mean_days_between_releases1.6

Community & Adoption

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

79Good · 17% of overall
How it's scored
47.5/60Stars852 stars
15.6/25Forks75 forks
5/15Watchers9 watchers
Inputs used
forks75
stars852
watchers9
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges9
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes

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
8.2/22.5Commit distributiontop contributor authored 64% of commits
8.1/13.5Contributor breadth6 contributors
6/10OpenSSF Scorecard: Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled6
top_contributor_share0.635
How it's scored
29.1/42Issue resolution69% of issues closed
24.2/30PR acceptance921/1,144 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
1.5/15OpenSSF Scorecard: Code-ReviewFound 3/17 approved changesets -- score normalized to 1
Inputs used
merged_prs921
open_issues8
closed_issues18
prs_merged_7d26
prs_decided_7d26
prs_merged_30d59
prs_decided_30d60
issue_closed_ratio0.692
closed_unmerged_prs223
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 backingorganization-owned
20/20Verified domain
12.2/25Owner reach48 followers of Pipelex
16.4/25Track record26 public repos, account ~2 yr old
Inputs used
followers48
owner_typeOrganization
is_verifiedyes
owner_loginPipelex
public_repos26
account_age_days1,094

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 2 days ago
20/20Version history165 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagespipelex
ecosystemspypi
any_deprecatedno
min_days_since_publish2

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall
How it's scored
24/24CI workflows19 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff], [tool.pylint])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests17 out of 17 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://pipelex.com
10/10Repository description
10/10Topics9 topics
0/10Wiki
Inputs used
topicslanguage, llm, orchestration, pipeline, ai, workflows, agents, automation, dsl
has_wikino
homepagehttps://pipelex.com
docs_sitehttps://pipelex.com
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

50Moderate · 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-Tests17 out of 17 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 3/17 approved changesets -- score normalized to 1
1.5/2.5Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
0/10Dangerous-Workflowdangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
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
4.5/7.5Signed-Releases4 out of the last 5 releases have a total of 4 signed artifacts.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
4.5/7.5Vulnerabilities4 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate3.8

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
advisories5
affected_packages4
assessed_packages271
unassessed_packages0
affected_by_severityhigh 1, moderate 3
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 271 resolved dependencies against OSV. 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.

90Excellent · 4% of overall
How it's scored
45/45Agent instructionsAGENTS.md, CLAUDE.md, docs/CLAUDE.md, pipelex/builder/CLAUDE.md, pipelex/cli/agent_cli/CLAUDE.md, tests/CLAUDE.md
15/15Machine-readable docs (llms.txt)llms.txt served by the project website (https://docs.pipelex.com/llms.txt)
40/40Legible commit history84 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.pipelex.com/llms.txt
legible_history_share0.84
agent_instruction_filesAGENTS.md, CLAUDE.md, docs/CLAUDE.md, pipelex/builder/CLAUDE.md, pipelex/cli/agent_cli/CLAUDE.md, tests/CLAUDE.md
agent_instruction_max_bytes37,691
How it's scored
18/18One-command bootstrapMakefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff], [tool.pylint])
11/11Static type checkingpipelex/py.typed, tests/py.typed
10/10Reproducible environmentlockfile
10/10Demonstrated agent practice75 of the last 100 commits agent-authored or agent-credited
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_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configspipelex/py.typed, tests/py.typed
agent_commit_share0.75
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (pipelex/py.typed, tests/py.typed)
54.8/55Manageable file sizes8/2,378 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes75,858
source_files_sampled2,378
oversized_source_files8
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 examplescookbook
Inputs used
example_dirscookbook
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

852GitHub stars
6contributors
1,027commits, last 12 months
1days since last push
100releases
1bus factor
8open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 75 ⇿
0Stars
75Forks
99Releases

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.

01325385063757582025-062026-012026-09
Major 0Minor 40Patch 56

Each point covers 2 days.

OpenSSF Scorecard 3.8 / 10
3.8aggregate

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 · 2026-09-05 23:13 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests17 out of 17 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 3/17 approved changesets -- score normalized to 1
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
0Dangerous-Workflowdangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 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
6Signed-Releases4 out of the last 5 releases have a total of 4 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
6Vulnerabilities4 existing vulnerabilities detected
Direct dependencies 38
RegistryPackageVersion constraintManifest
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All dependencies 271

Full resolved dependency set from the GitHub dependency graph: 38 direct and 233 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIrpds-py0.30.0indirect
PyPIrtree1.4.1indirect
PyPIruff0.16.4indirect
PyPIs3transfer0.14.0indirect
PyPIsafetensors0.7.0indirect
PyPIscipy1.17.1indirect
PyPIselectolax0.4.8indirect
PyPIsemchunk3.2.5indirect
PyPIsetuptools81.0.0indirect
PyPIshapely2.1.2indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoupsieve2.9.2indirect
PyPIsympy1.14.0indirect
PyPItabulate0.10.0indirect
PyPItenacity9.1.4indirect
PyPItermcolor3.3.0indirect
PyPItokenizers0.22.2indirect
PyPItorch2.11.0indirect
PyPItorchvision0.26.0indirect
PyPItqdm4.67.3indirect
PyPItransformers5.12.1indirect
PyPItransformers5.8.1indirect
PyPItree-sitter0.25.2indirect
PyPItree-sitter-c0.24.2indirect
PyPItree-sitter-javascript0.25.0indirect
PyPItree-sitter-python0.25.0indirect
PyPItree-sitter-typescript0.23.2indirect
PyPItriton3.6.0indirect
PyPItypeguard4.5.1indirect
PyPItypes-aioboto315.5.0indirect
PyPItypes-aiobotocore3.6.0indirect
PyPItypes-aiobotocore-bedrock2.25.2indirect
PyPItypes-aiobotocore-bedrock-runtime2.25.2indirect
PyPItypes-aiofiles25.1.0.20260409indirect
PyPItypes-awscrt0.31.3indirect
PyPItypes-jsonschema4.26.0.20260518indirect
PyPItypes-markdown3.10.2.20260408indirect
PyPItypes-networkx3.6.1.20260408indirect
PyPItypes-pyyaml6.0.12.20260408indirect
PyPItypes-requests2.33.0.20260503indirect
PyPItypes-s3transfer0.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2026.2indirect
PyPIverspec0.1.0indirect
PyPIwatchdog6.0.0indirect
PyPIwebsockets16.0indirect
PyPIwerkzeug3.1.8indirect
PyPIwrapt1.17.3indirect
PyPIxlsxwriter3.2.9indirect
PyPIxmltodict1.0.4indirect
PyPIyarl1.23.0indirect
PyPIzipp3.23.1indirect
Dependency advisories 4

This repository publishes no package the index resolves, so its own dependency graph was assessed — 271 packages, which also include development and test pins that never ship: 4 carry known advisories, of which 0 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
transformers5.8.1indirecthigh15.10.0
mkdocs-material9.7.6indirectmoderate19.7.7
setuptools81.0.0indirectmoderate283.0.0
torch2.11.0indirectmoderate12.13.0

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

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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 statisticsPyPI.