Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-20 07:17 UTC

szaghi / FoBiS

FoBiS.py, Fortran projects Building System

PythonCustom license★ 144 stars⑂ 39 forkssince Feb 2014View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#fortran#build-tool#oop#automatic-dependency-generator#cli#cmake#github-integration#makefile

szaghi/FoBiS holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Vitality (82/100) and lowest on Security (56/100). It was last updated today. A single contributor accounts for most of its recent work.

83
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.

83
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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

Stefano ZaghiPersonal account
360 followers75 public repossince Apr 2012National Research Council of Italy, IAC Research Institute for applied mathematics "Mauro Picone"

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
PyPIFoBiS.py3.10.02,6741461 day ago

Metrics by category

Vitality

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

82Excellent · 21% of overall

Development activity

76Good
How it's scored
36/36Push recency — last push 0 days ago
12.5/36Commit cadence — 18/52 weeks with commits
18/18Commit volume — 436 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year436
human_commit_share0.99
days_since_last_push0
active_weeks_last_year18

Release discipline

90Excellent
How it's scored
27/27Ships releases — 26 releases published
36/36Release recency — latest release 1 days ago
27/27Release cadence — a release every ~1.4 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count26
latest_release_tagv3.10.0
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases1.4

Community & Adoption

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

59Moderate · 17% of overall

Popularity & adoption

55Moderate
How it's scored
35/60Stars — 144 stars
13.2/25Forks — 39 forks
7/15Watchers — 19 watchers
Inputs used
forks39
stars144
watchers19
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

64Moderate
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseno
readme_badges7
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

57Moderate
How it's scored
45.7/80Monthly downloads — 2,674 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesFoBiS.py
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,674
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?

64Moderate · 23% of overall

Maintainer resilience (bus factor)

33At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.8/22.5Commit distribution — top contributor authored 97% of commits
13.5/13.5Contributor breadth — 10 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled10
top_contributor_share0.966

Issue & PR responsiveness

71Good
How it's scored
41.5/42Issue resolution — 99% of issues closed
20.2/30PR acceptance — 29/43 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs29
open_issues2
closed_issues163
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.988
closed_unmerged_prs14
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.

Ownership & stewardship

67Good
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
18.4/25Owner reach — 360 followers of szaghi
25/25Track record — 75 public repos, account ~14 yr old
Inputs used
followers360
owner_typeUser
is_verified—
owner_loginszaghi
public_repos75
account_age_days5,296
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 1 days ago
20/20Version history — 146 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesFoBiS.py
ecosystemspypi
any_deprecatedno
min_days_since_publish1

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall

Engineering practices

80Excellent
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

85Excellent
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 8 topics
10/10Wiki
Inputs used
topicsfortran, build-tool, oop, automatic-dependency-generator, cli, cmake, github-integration, makefile
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

56Moderate · 16% of overall

Security posture

45Weak
How it's scored
3.8/7.5Binary-Artifacts — binaries present in source code
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — no data
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
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 7 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
0/5SAST — no SAST tool detected
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.5
Excluded from scoring (no data or not applicable): CI-Tests. Remaining weights renormalized.

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_packages7
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:FoBiS.py@3.10.0 runtime dependency closure — what installing the published package pulls in — 7 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.

75Good · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 99 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes139,657

Verify loop (build / test / typecheck)

67Good
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
1/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.3/55Manageable file sizes — 3/240 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes213,439
source_files_sampled240
oversized_source_files3

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
40/40Runnable examples — cookbook, examples
Inputs used
example_dirscookbook, examples
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

144GitHub stars
10contributors
436commits, last 12 months
0days since last push
26releases
1bus factor
2open issues
npm, 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 ★ / 39 ⇿
0Stars
39Forks
9Releases

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.

01325383732014-072020-082026-08
Major 0Minor 0Patch 9

Each point covers 12 days.

OpenSSF Scorecard 4.5 / 10
4.5aggregate

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 · 2026-10-20 07:17 UTC

5Binary-Artifactsbinaries present in source code
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPItyper>=0.9.0,<2.0pyproject.toml
PyPIcolorama>=0.4pyproject.toml
All dependencies 318

Full resolved dependency set from the GitHub dependency graph: 2 direct and 316 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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npmlayout-base1.0.2indirect
npmlayout-base2.0.1indirect
npmlodash-es4.18.1indirect
npmmagic-string0.30.21indirect
npmmark.js8.11.1indirect
npmmarkdown-it-mathjax34.3.2indirect
npmmarkdown-it-mathjax3^4.3.2indirect
npmmarked16.4.2indirect
npmmathjax-full3.2.1indirect
npmmdast-util-to-hast13.2.1indirect
npmmensch0.3.4indirect
npmmermaid11.17.2indirect
npmmermaid^11.0.0indirect
npmmhchemparser4.2.1indirect
npmmicromark-util-character2.1.1indirect
npmmicromark-util-encode2.0.1indirect
npmmicromark-util-sanitize-uri2.0.1indirect
npmmicromark-util-symbol2.0.1indirect
npmmicromark-util-types2.0.3indirect
npmmime2.6.0indirect
npmminisearch7.2.0indirect
npmmj-context-menu0.6.1indirect
npmms2.1.3indirect
npmnanoid3.3.20indirect
npmnode-fetch2.7.0indirect
npmnth-check2.1.1indirect
npmoniguruma-parser0.12.2indirect
npmoniguruma-to-es4.3.6indirect
npmpackage-manager-detector1.9.0indirect
npmparse56.0.1indirect
npmparse5-htmlparser2-tree-adapter6.0.1indirect
npmpath-data-parser0.1.0indirect
npmperfect-debounce2.1.0indirect
npmpicocolors1.1.1indirect
npmpicomatch4.0.7indirect
npmpoints-on-curve0.2.0indirect
npmpoints-on-path0.2.1indirect
npmpostcss8.5.31indirect
npmproperty-information7.2.0indirect
npmregex6.1.0indirect
npmregex-recursion6.0.2indirect
npmregex-utilities2.3.0indirect
npmrobust-predicates3.0.3indirect
npmrollup4.64.10indirect
npmroughjs4.6.6indirect
npmrw1.3.3indirect
npmsafer-buffer2.1.2indirect
npmshiki3.23.0indirect
npmslick1.12.2indirect
npmsource-map-js1.2.2indirect
npmspace-separated-tokens2.0.2indirect
npmspeech-rule-engine4.1.4indirect
npmstrictdom1.0.1indirect
npmstringify-entities4.0.4indirect
npmstylis4.4.0indirect
npmtabbable6.5.0indirect
npmtinyexec1.3.1indirect
npmtinyglobby0.2.17indirect
npmtr460.0.3indirect
npmtrim-lines3.0.1indirect
npmts-dedent2.3.0indirect
npmtslib2.8.1indirect
npmunist-util-is6.0.1indirect
npmunist-util-position5.0.0indirect
npmunist-util-stringify-position4.0.0indirect
npmunist-util-visit5.1.0indirect
npmunist-util-visit-parents6.0.2indirect
npmuuid14.0.3indirect
npmvalid-data-url3.0.1indirect
npmvfile6.0.3indirect
npmvfile-message4.0.3indirect
npmvite7.3.7indirect
npmvitepress2.0.0-alpha.17indirect
npmvitepress^1.6.3indirect
npmvitepress-plugin-mermaid^2.0.0indirect
npmvue3.5.44indirect
npmweb-resource-inliner6.0.1indirect
npmwebidl-conversions3.0.1indirect
npmwhatwg-url5.0.0indirect
npmwicked-good-xpath1.3.0indirect
npmzwitch2.0.4indirect
PyPIford—indirect
PyPIgraphviz—indirect
PyPIpreform-py—indirect
PyPIsetuptools—indirect
Dependency advisories 0

Installing pypi:FoBiS.py@3.10.0 pulls in 7 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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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.