Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-23 20:47 UTC

openfisca / openfisca-tunisia

Tunisian tax and benefit system for OpenFisca

Python · Jupyter NotebookCustom license★ 22 stars⑂ 8 forkssince Dec 2013View on GitHub ↗

openfisca/openfisca-tunisia holds a health index of 80 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (86/100) and lowest on Community & Adoption (56/100). It was last updated today. A single contributor accounts for most of its recent work.

80
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.

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

Ownership

OpenFiscaOrganization
156 followers89 public repossince May 2012

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIOpenFisca-Tunisia0.1063,7811030 days agomicrosimulationtaxbenefitracrules-as-codetunisia

Metrics by category

Vitality

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

78Good · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
13.2/36Commit cadence19/52 weeks with commits
18/18Commit volume390 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year390
human_commit_share1
days_since_last_push0
active_weeks_last_year19
How it's scored
16.2/27Ships releases41 version tags (no GitHub releases)
36/36Release recencylatest release 11 days ago
19.8/27Release cadencea release every ~73.3 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count41
latest_release_tag0.82.1
releases_from_tagsyes
days_since_latest_release11
mean_days_between_releases73.3
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?

56Moderate · 17% of overall
How it's scored
21.4/60Stars22 stars
7/25Forks8 forks
5/15Watchers9 watchers
Inputs used
forks8
stars22
watchers9
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
18/18CONTRIBUTING guide
0/13.5Code of conduct
7.2/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseno
readme_badges5
has_contributingyes
has_issue_templateyes
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateyes
How it's scored
47.7/80Monthly downloads3,781 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesOpenFisca-Tunisia
dependents
ecosystemspypi
total_downloads
monthly_downloads3,781
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?

62Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
6.6/22.5Commit distributiontop contributor authored 71% of commits
13.5/13.5Contributor breadth12 contributors
10/10OpenSSF Scorecard: Contributorsproject has 4 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled12
top_contributor_share0.706
How it's scored
22.3/42Issue resolution53% of issues closed
22.8/30PR acceptance279/367 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/11 approved changesets -- score normalized to 0
Inputs used
merged_prs279
open_issues37
closed_issues42
prs_merged_7d21
prs_decided_7d22
prs_merged_30d46
prs_decided_30d47
issue_closed_ratio0.532
closed_unmerged_prs88
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
0/20Verified domain
15.8/25Owner reach156 followers of openfisca
25/25Track record89 public repos, account ~14 yr old
Inputs used
followers156
owner_typeOrganization
is_verifiedno
owner_loginopenfisca
public_repos89
account_age_days5,229

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 0 days ago
20/20Version history103 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesOpenFisca-Tunisia
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall
How it's scored
24/24CI workflows3 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests11 out of 11 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://openfisca.org/doc
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepage
docs_sitehttps://openfisca.org/doc
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

58Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
2.5/2.5CI-Tests11 out of 11 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
0/7.5Code-ReviewFound 0/11 approved changesets -- score normalized to 0
2.5/2.5Contributorsproject has 4 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.2/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 24 issue activity found in the last 90 days -- score normalized to 10
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
1.5/7.5Vulnerabilities8 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4.9
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
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
advisories16
affected_packages3
assessed_packages119
unassessed_packages0
affected_by_severityhigh 2, moderate 1
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 119 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.

66Good · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history89 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.89
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapMakefile
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environmentlockfile
10/10Demonstrated agent practice61 of the last 100 commits agent-authored or agent-credited
5/8Automated maintenancedependency automation configured, none observed in the sampled commits
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_configs
agent_commit_share0.61
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/112 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes43,847
source_files_sampled112
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 examplesnotebooks
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

22GitHub stars
12contributors
390commits, last 12 months
0days since last push
41releases
1bus factor
37open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:OpenFisca-Tunisia@0.106; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 8 ⇿
0Stars
8Forks
40Releases

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.

02468812016-112021-032025-07
Major 0Minor 21Patch 19

Each point covers 8 days.

OpenSSF Scorecard 4.9 / 10
4.9aggregate

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 · 2026-09-23 20:47 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
10CI-Tests11 out of 11 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 0/11 approved changesets -- score normalized to 0
10Contributorsproject has 4 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 24 issue activity found in the last 90 days -- score normalized to 10
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
2Vulnerabilities8 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPIopenfisca-core>=44, <45pyproject.toml
All dependencies 119

Full resolved dependency set from the GitHub dependency graph: 1 direct and 118 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIopenfisca-core44.7.1direct
PyPIappnope1.0.0indirect
PyPIasttokens3.0.2indirect
PyPIattrs26.1.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIblinker1.9.0indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcharset-normalizer3.5.1indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcomm0.2.3indirect
PyPIcontourpy1.3.2indirect
PyPIcontourpy1.3.3indirect
PyPIcontourpy1.4.0indirect
PyPIcryptography50.0.1indirect
PyPIcycler0.12.1indirect
PyPIdebugpy1.8.21indirect
PyPIdecorator5.3.1indirect
PyPIdocutils0.23indirect
PyPIdpath2.2.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecuting2.2.1indirect
PyPIfastjsonschema2.22.2indirect
PyPIflask3.1.3indirect
PyPIflask-cors3.0.10indirect
PyPIfonttools4.65.0indirect
PyPIgunicorn21.2.0indirect
PyPIid1.6.1indirect
PyPIidna3.19indirect
PyPIimportlib-metadata9.0.1indirect
PyPIiniconfig2.3.0indirect
PyPIipykernel7.3.0indirect
PyPIipython8.39.0indirect
PyPIipython9.10.1indirect
PyPIipython9.12.0indirect
PyPIipython-pygments-lexers1.1.1indirect
PyPIitsdangerous2.2.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.6.0indirect
PyPIjedi0.20.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIjupyter-client8.10.0indirect
PyPIjupyter-core5.9.1indirect
PyPIkeyring25.7.0indirect
PyPIkiwisolver1.5.1indirect
PyPIllvmlite0.49.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImatplotlib3.10.9indirect
PyPImatplotlib3.11.2indirect
PyPImatplotlib-inline0.2.2indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.1.0indirect
PyPInbformat5.11.1indirect
PyPInest-asyncio21.7.2indirect
PyPInh30.3.7indirect
PyPInumba0.67.0indirect
PyPInumexpr2.14.1indirect
PyPInumexpr2.14.2indirect
PyPInumpy1.26.4indirect
PyPInumpy2.4.6indirect
PyPInumpy2.5.3indirect
PyPIopenfisca-tunisia0.106indirect
PyPIpackaging26.3indirect
PyPIpandas2.3.3indirect
PyPIpandas3.0.5indirect
PyPIparso0.8.7indirect
PyPIpathspec1.1.1indirect
PyPIpendulum3.2.0indirect
PyPIpexpect4.9.0indirect
PyPIpillow12.3.0indirect
PyPIplatformdirs4.11.8indirect
PyPIpluggy1.6.0indirect
PyPIprompt-toolkit3.0.53indirect
PyPIpsutil5.9.8indirect
PyPIptyprocess0.7.0indirect
PyPIpure-eval0.2.4indirect
PyPIpycparser3.0indirect
PyPIpygments2.21.0indirect
PyPIpyparsing3.3.2indirect
PyPIpytest8.4.2indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpytz2026.3.post1indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIpyzmq27.2.0indirect
PyPIreadme-renderer46.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich15.0.0indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruff0.8.6indirect
PyPIscipy1.15.3indirect
PyPIscipy1.17.1indirect
PyPIscipy1.18.1indirect
PyPIsecretstorage3.5.0indirect
PyPIsix1.17.0indirect
PyPIsortedcontainers2.4.0indirect
PyPIstack-data0.6.3indirect
PyPIstrenum0.4.15indirect
PyPItomli2.4.1indirect
PyPItornado6.5.8indirect
PyPItraitlets5.16.1indirect
PyPItwine7.0.0indirect
PyPItyping-extensions4.16.0indirect
PyPItzdata2026.3indirect
PyPIurllib32.7.0indirect
PyPIwcwidth0.8.3indirect
PyPIwerkzeug3.1.8indirect
PyPIyamllint1.38.0indirect
PyPIzipp4.1.0indirect
Dependency advisories 3

This repository publishes no package the index resolves, so its own dependency graph was assessed — 119 packages, which also include development and test pins that never ship: 3 carry known advisories, of which 0 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
flask-cors3.0.10indirecthigh106.0.0
gunicorn21.2.0indirecthigh422.0.0
pytest8.4.2indirectmoderate29.0.3

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.