Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-21 03:07 UTC

infobyte / faraday

Open-source and AI-powered cybersecurity tools for offensive security, vulnerability management, and autonomous pentesting. Built by hackers in Latin America, used worldwide.

PythonGPL-3.0★ 6,809 stars⑂ 1,081 forkssince Nov 2013View on GitHub ↗
KindCommand-line toolNetwork serviceLibraryhow this is determined
#devops#penetration-testing#vulnerability#vulnerability-scanners#security#security-audit#pentesting#continuous-scanning#infosec#vulnerability-management#collaboration#devsecops#security-automation#orchestration#cve#appsec#cybersecurity#autonomous-agents#autonomous-pentest#llm

infobyte/faraday holds a health index of 89 out of 100, placing it in the Excellent band. It scores highest on Vitality (94/100) and lowest on AI Readiness (43/100). It was last updated 14 days ago. 4 contributors account for most of its recent work.

89
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.

89
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 75 is calibrated to 89 on the published index scale (record calibration 2026-08-02).

Ownership

FaradayOrganization
295 followers53 public repossince Apr 2013

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIfaradaysec5.25.06587614 days agosecuritytools

Metrics by category

Vitality

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

94Exceptional · 21% of overall

Development activity

90Excellent
How it's scored
28.8/36Push recency — last push 14 days ago
33.9/36Commit cadence — 49/52 weeks with commits
18/18Commit volume — 632 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year632
human_commit_share1
days_since_last_push14
active_weeks_last_year49

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 14 days ago
27/27Release cadence — a release every ~28.1 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv5.25.0
releases_from_tagsno
days_since_latest_release14
mean_days_between_releases28.1

Community & Adoption

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

68Good · 17% of overall

Popularity & adoption

98Exceptional
How it's scored
60/60Stars — 6,809 stars
25/25Forks — 1,081 forks
13.3/15Watchers — 244 watchers
Inputs used
forks1,081
stars6,809
watchers244
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (GPL-3.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

47Weak
How it's scored
37.6/80Monthly downloads — 658 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesfaradaysec
dependents—
ecosystemspypi
total_downloads—
monthly_downloads658
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?

81Excellent · 23% of overall

Maintainer resilience (bus factor)

83Excellent
How it's scored
43.2/54Bus factor — 4 contributor(s) cover half of all commits
18/22.5Commit distribution — top contributor authored 20% of commits
13.5/13.5Contributor breadth — 43 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor4
contributors_sampled43
top_contributor_share0.2

Issue & PR responsiveness

72Good
How it's scored
41.8/42Issue resolution — 100% of issues closed
9.7/30PR acceptance — 22/68 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_prs22
open_issues2
closed_issues461
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.996
closed_unmerged_prs46
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

72Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
17.8/25Owner reach — 295 followers of infobyte
24.6/25Track record — 53 public repos, account ~13 yr old
Inputs used
followers295
owner_typeOrganization
is_verifiedno
owner_logininfobyte
public_repos53
account_age_days4,929

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 14 days ago
20/20Version history — 76 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesfaradaysec
ecosystemspypi
any_deprecatedno
min_days_since_publish14

Engineering Quality

Are baseline engineering and documentation practices in place?

77Good · 19% of overall

Engineering practices

62Moderate
How it's scored
0/24CI workflows
24/24Tests present
16/16Linter config — .pylintrc, pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_cino
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://www.faradaysec.com
10/10Repository description
10/10Topics — 20 topics
10/10Wiki
Inputs used
topicsdevops, penetration-testing, vulnerability, vulnerability-scanners, security, security-audit, pentesting, continuous-scanning, infosec, vulnerability-management, collaboration, devsecops, security-automation, orchestration, cve, appsec, cybersecurity, autonomous-agents, autonomous-pentest, llm
has_wikiyes
homepagehttps://www.faradaysec.com
docs_sitehttps://www.faradaysec.com
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

53Moderate · 16% of overall

Security posture

55Moderate
How it's scored
30/30Security policy (SECURITY.md)
0/25Dependabot config
25/25Dependency lockfiles — uv.lock
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfilesuv.lock
manifestsfaraday/requirements.txt, pyproject.toml, requirements.txt, requirements_dev.txt, requirements_extras.txt, setup.cfg
has_codeql_workflowno
has_security_policyyes
has_dependabot_configno

Dependency advisories

43Weak
How it's scored
9.9/35Direct dependencies free of known advisories — 4 affected: werkzeug 2.3.8 (high 7.5), bleach 4.1.0 (moderate 6.1), flask 2.3.3 (moderate 4.3), +1 more
8.4/25Indirect dependencies free of known advisories — 2 affected: certifi 2026.10.18 (high 7.4), sqlparse 0.5.5 (high 7.5)
25/40No advisories left outstanding — 4 advisory-carrying package(s) unaddressed past 90 days; oldest published 897 days ago
Inputs used
sourceosv
advisories32
affected_packages6
assessed_packages139
unassessed_packages0
affected_by_severityhigh 3, moderate 3
direct_affected_packages4
Matched the pypi:faradaysec@5.25.0 runtime dependency closure — what installing the published package pulls in — 139 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.

43Weak · 4% of overall

Agent context & guidance

17Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
17.1/40Legible commit history — 32 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.32
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

59Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .pylintrc, pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — Dockerfile, Nix, lockfile
10/10Demonstrated agent practice — 13 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_nixyes
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.13
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
53.7/55Manageable file sizes — 9/367 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes6,571,537
source_files_sampled367
oversized_source_files9

Key facts

6,809GitHub stars
43contributors
632commits, last 12 months
14days since last push
100releases
4bus factor
2open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 0 ★ / 1,081 ⇿
0Stars
1,081Forks
100Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

02004006008001,0001,2001,081162015-082021-032026-10
Major 1Minor 48Patch 43

Each point covers 11 days.

Direct dependencies 73
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Full resolved dependency set from the GitHub dependency graph: 142 direct and 140 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIsphinx—indirect
PyPIsphinx9.0.4indirect
PyPIsphinx9.1.0indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsqlparse0.5.5indirect
PyPItabulate0.9.0indirect
PyPItldextract5.3.1indirect
PyPItomli2.4.0indirect
PyPItomlkit0.14.0indirect
PyPItrio0.32.0indirect
PyPItrio-typing0.10.0indirect
PyPItrio-websocket0.12.2indirect
PyPItwine—indirect
PyPItxaio25.12.2indirect
PyPItypes-certifi2021.10.8.3indirect
PyPItypes-urllib31.26.25.14indirect
PyPItyping-extensions4.15.0indirect
PyPItzdata2025.3indirect
PyPItzlocal5.3.1indirect
PyPIu-msgpack-python2.8.0indirect
PyPIurllib32.6.3indirect
PyPIvine5.1.0indirect
PyPIw3af-api-client—indirect
PyPIwcwidth0.2.14indirect
PyPIwebencodings0.5.1indirect
PyPIwebsocket-client1.9.0indirect
PyPIwrapt2.0.1indirect
PyPIwsproto1.3.2indirect
PyPIzipp3.23.0indirect
PyPIzope-event6.1indirect
PyPIzope-interface8.2indirect
Dependency advisories 6

Installing pypi:faradaysec@5.25.0 pulls in 139 packages, direct and transitive: 6 carry known advisories, of which 4 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
werkzeug2.3.8directhigh143.1.9
certifi2026.10.18indirecthigh22026.10.19
sqlparse0.5.5indirecthigh100.6.0
bleach4.1.0directmoderate26.4.0
flask2.3.3directmoderate23.1.3
setuptools80.10.2directmoderate283.0.0

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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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.