Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-18 21:51 UTC

globaleaks / globaleaks-whistleblowing-software

GlobaLeaks is a free and open-source whistleblowing software enabling anyone to easily set up and maintain a secure reporting platform.

Python · TypeScript · HTMLAGPL-3.0★ 1,516 stars⑂ 356 forkssince Aug 2012View on GitHub ↗
KindWeb interfacehow this is determined

globaleaks/globaleaks-whistleblowing-software holds a health index of 94 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on Sustainability & Governance (59/100). It was last updated today. A single contributor accounts for most of its recent work.

94
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.

94
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 81 is calibrated to 94 on the published index scale (record calibration 2026-08-02).

Ownership

GLOBALEAKSOrganization · verified domain
131 followers15 public repossince Mar 2011

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

Metrics by category

Vitality

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

99Exceptional · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
34.6/36Commit cadence — 50/52 weeks with commits
18/18Commit volume — 795 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year795
human_commit_share1
days_since_last_push0
active_weeks_last_year50

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 79 releases published
36/36Release recency — latest release 54 days ago
27/27Release cadence — a release every ~9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count79
latest_release_tagv5.0.99
releases_from_tagsno
days_since_latest_release54
mean_days_between_releases9
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?

87Excellent · 17% of overall
How it's scored
51.6/60Stars — 1,516 stars
21.3/25Forks — 356 forks
10.4/15Watchers — 74 watchers
Inputs used
forks356
stars1,516
watchers74
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 (AGPL-3.0)
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_badges21
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesapp.codacy.com, github.com, readthedocs.org, shields.io, www.bestpractices.dev
has_pull_request_templateyes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

59Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
5/22.5Commit distribution — top contributor authored 78% of commits
13.5/13.5Contributor breadth — 55 contributors
10/10OpenSSF Scorecard: Contributors — project has 40 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled55
top_contributor_share0.776
How it's scored
33.3/42Issue resolution — 79% of issues closed
16.1/30PR acceptance — 204/381 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_prs204
open_issues616
closed_issues2,378
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.794
closed_unmerged_prs177
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
20/20Verified domain
15.2/25Owner reach — 131 followers of globaleaks
20.8/25Track record — 15 public repos, account ~15 yr old
Inputs used
followers131
owner_typeOrganization
is_verifiedyes
owner_loginglobaleaks
public_repos15
account_age_days5,667

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config — backend/pyproject.toml ([tool.ruff]), eslint.config.js
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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://globaleaks.org
10/10Repository description
10/10Topics — 20 topics
0/10Wiki
Inputs used
topicsdigital-human-rights, anonymity, security, python, twisted, sqlalchemy, tor, libsodium, open-source, privacy, angular, digital-public-goods, accessibility, anticorruption, debian, free-software, typescript, whistleblowing, bootstrap, dompurify
has_wikino
homepagehttps://globaleaks.org
docs_sitehttps://globaleaks.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

81Excellent · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
0/2.5CI-Tests — no data
2.5/2.5CII-Best-Practices — badge detected: Gold
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 40 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
5/5Pinned-Dependencies — all dependencies are pinned
5/5SAST — SAST tool detected: CodeQL
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities — 40 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate7.6
Excluded from scoring (no data or not applicable): CI-Tests, Packaging, Signed-Releases. Remaining weights renormalized.

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_packages89
unassessed_packages8
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 89 resolved dependencies against OSV. 8 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.

62Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
18.7/40Legible commit history — 35 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.35
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — documentation/Makefile
22/22Automated tests
11/11Lint / format config — backend/pyproject.toml ([tool.ruff]), eslint.config.js
11/11Static type checking — client/cypress/tsconfig.json, client/tsconfig.json
10/10Reproducible environment — Dockerfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_filesdocumentation/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsclient/cypress/tsconfig.json, client/tsconfig.json
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (client/cypress/tsconfig.json, client/tsconfig.json)
54.9/55Manageable file sizes — 1/558 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes67,865
source_files_sampled558
oversized_source_files1

Key facts

1,516GitHub stars
55contributors
795commits, last 12 months
0days since last push
79releases
1bus factor
616open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'globaleaks' from its registry

More detail

Star and fork history 0 ★ / 356 ⇿
0Stars
356Forks
79Releases

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.

0125250375346112013-082020-022026-09
Major 0Minor 0Patch 79

Each point covers 12 days.

OpenSSF Scorecard 7.6 / 10
7.6aggregate

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 · 2026-09-18 21:51 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
n/aCI-Testsno pull request found
10CII-Best-Practicesbadge detected: Gold
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
10Contributorsproject has 40 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
10Pinned-Dependenciesall dependencies are pinned
10SASTSAST tool detected: CodeQL
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities40 existing vulnerabilities detected
Direct dependencies 47
RegistryPackageVersion constraintManifest
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All dependencies 97

Full resolved dependency set from the GitHub dependency graph: 47 direct and 50 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIfuro—indirect
PyPIsetuptools—indirect
PyPIsphinx—indirect
PyPIsphinx-autobuild—indirect
PyPIsphinx-copybutton—indirect
PyPIsphinx-intl—indirect
PyPIsphinx-sitemap—indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 89 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct. 8 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.