Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-21 03:09 UTC

sebastienrousseau / pain001

Generate and validate ISO 20022 payment files (pain.001 v03-v12, pain.008) from CSV, SQLite, JSON, or Parquet. XSD and SEPA scheme validation, pain.002 and camt.053 parsers and builders, plus a CLI, REST API, MCP server, and LSP server for editor diagnostics. 🐍

PythonApache-2.0★ 49 stars⑂ 15 forkssince Mar 2023View on GitHub ↗
KindCommand-line toolMCP serverLibraryNetwork serviceEditor extensionhow this is determined

sebastienrousseau/pain001 holds a health index of 93 out of 100, placing it in the Exceptional band. It scores highest on Engineering Quality (100/100) and lowest on Sustainability & Governance (58/100). It was last updated today. 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

Sebastien RousseauPersonal account
164 followers242 public repossince Jan 2012

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIpain0010.0.723,5176822 days ago

Metrics by category

Vitality

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

88Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
15.9/36Commit cadence — 23/52 weeks with commits
18/18Commit volume — 465 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year465
human_commit_share0.76
days_since_last_push0
active_weeks_last_year23

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 65 releases published
36/36Release recency — latest release 22 days ago
27/27Release cadence — a release every ~4.3 days
10/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count65
latest_release_tagv0.0.72
releases_from_tagsno
days_since_latest_release22
mean_days_between_releases4.3

Community & Adoption

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

63Moderate · 17% of overall
How it's scored
27.3/60Stars — 49 stars
9.6/25Forks — 15 forks
3.9/15Watchers — 6 watchers
Inputs used
forks15
stars49
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
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_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes
How it's scored
47.3/80Monthly downloads — 3,517 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespain001
dependents—
ecosystemspypi
total_downloads—
monthly_downloads3,517
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?

58Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.1/22.5Commit distribution — top contributor authored 100% of commits
4.1/13.5Contributor breadth — 3 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.997
How it's scored
41.6/42Issue resolution — 99% of issues closed
23/30PR acceptance — 168/219 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/3 approved changesets -- score normalized to 0
Inputs used
merged_prs168
open_issues1
closed_issues111
prs_merged_7d2
prs_decided_7d2
prs_merged_30d12
prs_decided_30d12
issue_closed_ratio0.991
closed_unmerged_prs51
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
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
15.9/25Owner reach — 164 followers of sebastienrousseau
25/25Track record — 242 public repos, account ~14 yr old
Inputs used
followers164
owner_typeUser
is_verified—
owner_loginsebastienrousseau
public_repos242
account_age_days5,376
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 22 days ago
20/20Version history — 68 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespain001
ecosystemspypi
any_deprecatedno
min_days_since_publish22

Engineering Quality

Are baseline engineering and documentation practices in place?

100Exceptional · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 15 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-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_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — http://docs.pain001.com/
10/10Repository description
10/10Topics — 20 topics
10/10Wiki
Inputs used
topicspain001, banking, csv, sepa, payments, iso-20022, payment-processing, direct-debit, fintech, python, rest-api, bic, fastapi, iban, language-server, lsp, mcp, model-context-protocol, openapi, validation
has_wikiyes
homepagehttp://docs.pain001.com/
docs_sitehttp://docs.pain001.com/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

86Excellent · 16% of overall

Security posture

83Excellent
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 5 out of 5 merged PRs checked by a CI test -- score normalized to 10
1.2/2.5CII-Best-Practices — badge detected: Passing
0/7.5Code-Review — Found 0/3 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
5/5Fuzzing — project is fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
7.5/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate8.3

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_packages16
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:pain001@0.0.72 runtime dependency closure — what installing the published package pulls in — 16 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.

86Excellent · 4% of overall
How it's scored
45/45Agent instructions — .github/copilot-instructions.md, AGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 73 of 76 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.961
agent_instruction_files.github/copilot-instructions.md, AGENTS.md
agent_instruction_max_bytes18,230
How it's scored
18/18One-command bootstrap — .mise.toml, Makefile, docs/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — pain001/py.typed
10/10Reproducible environment — devcontainer, Dockerfile, lockfile
10/10Demonstrated agent practice — 17 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 24 of the last 100 commits are automated dependency updates
9/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileyes
typed_languageno
bootstrap_files.mise.toml, Makefile, docs/Makefile
has_devcontaineryes
has_linter_configyes
typecheck_configspain001/py.typed
agent_commit_share0.17
toolchain_manifests—
dependency_bot_commit_share0.24
How it's scored
27/45Type-checkable code — Python with type-check config (pain001/py.typed)
55/55Manageable file sizes — 0/342 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes49,090
source_files_sampled342
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

49GitHub stars
3contributors
465commits, last 12 months
0days since last push
65releases
1bus factor
1open 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 ★ / 15 ⇿
0Stars
15Forks
27Releases

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.

03581013151512023-052024-102026-03
Major 0Minor 0Patch 27

Each point covers 3 days.

OpenSSF Scorecard 8.3 / 10
8.3aggregate

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 · 2026-10-21 03:08 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests5 out of 5 merged PRs checked by a CI test -- score normalized to 10
5CII-Best-Practicesbadge detected: Passing
0Code-ReviewFound 0/3 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
9Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
10Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 21
RegistryPackageVersion constraintManifest
PyPIclick>=8.5.0,<9pyproject.toml
PyPIdefusedxml>=0.7.1,<1pyproject.toml
PyPIjinja2>=3.1.6,<4pyproject.toml
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PyPIparamiko>=5.0,<6pyproject.toml
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PyPIjsonschema>=4.17,<5pyproject.toml
PyPIfastapi>=0.141.1pyproject.toml
PyPIuvicorn>=0.54.0pyproject.toml
PyPIpyarrow>=25.0.1,<26.0.0pyproject.toml
PyPImcp>=2.3.0,<3pyproject.toml
PyPIpygls>=2.1,<3pyproject.toml
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PyPIopentelemetry-sdk>=1.27,<2pyproject.toml
PyPIopentelemetry-exporter-otlp-proto-http>=1.27,<2pyproject.toml
All dependencies 241

Full resolved dependency set from the GitHub dependency graph: 22 direct and 219 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIwatchfiles1.1.1indirect
PyPIwatchfiles1.3.0indirect
PyPIwcwidth0.2.14indirect
PyPIwcwidth0.8.2indirect
PyPIwebcolors25.10.0indirect
PyPIwebsockets16.0indirect
PyPIwebsockets17.1indirect
PyPIwheel0.48.0indirect
PyPIzipp3.23.0indirect
Dependency advisories 0

Installing pypi:pain001@0.0.72 pulls in 16 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.

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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.

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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.