Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-01 06:58 UTC

fosslight / fosslight_binary_scanner

FOSSLight Binary Scanner

PythonApache-2.0★ 13 stars⑂ 4 forkssince May 2021View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

fosslight/fosslight_binary_scanner holds a health index of 67 out of 100, placing it in the Good band. It scores highest on Vitality (91/100) and lowest on Security (21/100). It was last updated today. A single contributor accounts for most of its recent work.

67
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.

67
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 61 is calibrated to 67 on the published index scale (record calibration 2026-08-02).

Ownership

FOSSLightOrganization
39 followers24 public repossince Apr 2021

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIfosslight_binary5.1.333,463790 days agofosslightscannerbinarylicense

Metrics by category

Vitality

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

91Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
22.2/36Commit cadence — 32/52 weeks with commits
18/18Commit volume — 134 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year134
human_commit_share0.75
days_since_last_push0
active_weeks_last_year32

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 80 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~18.6 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count80
latest_release_tagv5.1.33
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases18.6

Community & Adoption

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

48Weak · 17% of overall
How it's scored
17.5/60Stars — 13 stars
4/25Forks — 4 forks
3.3/15Watchers — 5 watchers
Inputs used
forks4
stars13
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingno
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateno
How it's scored
47.2/80Monthly downloads — 3,463 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesfosslight_binary
dependents—
ecosystemspypi
total_downloads—
monthly_downloads3,463
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?

70Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
11/22.5Commit distribution — top contributor authored 51% of commits
13.5/13.5Contributor breadth — 10 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled10
top_contributor_share0.511
How it's scored
42/42Issue resolution — 100% of issues closed
24.4/30PR acceptance — 175/215 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs175
open_issues0
closed_issues8
prs_merged_7d2
prs_decided_7d2
prs_merged_30d6
prs_decided_30d9
issue_closed_ratio1
closed_unmerged_prs40
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 backing — organization-owned
0/20Verified domain
11.5/25Owner reach — 39 followers of fosslight
21.1/25Track record — 24 public repos, account ~5 yr old
Inputs used
followers39
owner_typeOrganization
is_verifiedno
owner_loginfosslight
public_repos24
account_age_days1,998

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 79 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesfosslight_binary
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

68Good · 19% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — tox.ini
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

Documentation

50Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

21At Risk · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestspyproject.toml, requirements-dev.txt, setup.cfg
has_codeql_workflowno
has_security_policyno
has_dependabot_configno

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages1
unassessed_packages21
affected_by_severitynone
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 1 resolved dependencies against OSV. 21 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. 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.

42Weak · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 60 of 75 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.8
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — tox.ini
0/11Static type checking
0/10Reproducible environment
2/10Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.01
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/15 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes20,865
source_files_sampled15
oversized_source_files0

Key facts

13GitHub stars
10contributors
134commits, last 12 months
0days since last push
80releases
1bus factor
0open 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:fosslight_binary@5.1.33; advisories assessed against the repository dependency graph instead
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 0 ★ / 4 ⇿
0Stars
4Forks
48Releases

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.

1223344412022-022023-122025-11
Major 1Minor 2Patch 45

Each point covers 4 days.

Direct dependencies 16
RegistryPackageVersion constraintManifest
PyPIbinaryornot==0.4.4pyproject.toml
PyPIchardet<5.0.0pyproject.toml
PyPIdefusedxml—pyproject.toml
PyPInumpy—pyproject.toml
PyPIpandas—pyproject.toml
PyPIparmap—pyproject.toml
PyPIpython-dateutil—pyproject.toml
PyPIpy-tlsh—pyproject.toml
PyPIpytz—pyproject.toml
PyPIXlsxWriter—pyproject.toml
PyPIPyYAML—pyproject.toml
PyPIfosslight_util>=2.2.14pyproject.toml
PyPItruststore—pyproject.toml
PyPIpython-magic-bin—pyproject.toml
PyPIpython-magic—pyproject.toml
PyPIpython-magic—pyproject.toml
All dependencies 22

Full resolved dependency set from the GitHub dependency graph: 15 direct and 7 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbinaryornot0.4.4direct
PyPIchardet—direct
PyPIdefusedxml—direct
PyPIfosslight-util—direct
PyPInumpy—direct
PyPIpandas—direct
PyPIparmap—direct
PyPIpy-tlsh—direct
PyPIpython-dateutil—direct
PyPIpython-magic—direct
PyPIpython-magic-bin—direct
PyPIpytz—direct
PyPIpyyaml—direct
PyPItruststore—direct
PyPIxlsxwriter—direct
PyPIflake8—indirect
PyPIpyinstaller—indirect
PyPIpytest—indirect
PyPIpytest-cov—indirect
PyPIpytest-xdist—indirect
PyPIsetuptools—indirect
PyPItox—indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 1 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct. 21 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

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 statistics — PyPI.