Public record
Software health reportschema 0.15.0 · metrics 2.10.0 · 2026-07-20 09:22 UTC

panther-labs / panther-analysis

Built-in Panther detection rules and policies

PythonApache-2.0★ 458 stars⑂ 201 forkssince Oct 2019View on GitHub ↗
#security#python#cybersecurity#siem

panther-labs/panther-analysis holds a health index of 95 out of 100, placing it in the Exceptional band. It scores highest on Vitality (97/100) and lowest on Security (55/100). It was last updated 4 days ago. 7 contributors account for most of its recent work.

95
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.

95
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 82 is calibrated to 95 on the published index scale (record calibration 2026-08-02).

Ownership

Panther LabsOrganization
112 followers25 public repossince Aug 2018

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?

97Exceptional · 21% of overall

Development activity

97Exceptional
How it's scored
36/36Push recency — last push 4 days ago
33.2/36Commit cadence — 48/52 weeks with commits
18/18Commit volume — 397 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year397
human_commit_share—
days_since_last_push4
active_weeks_last_year48

Release discipline

98Exceptional
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 12 days ago
27/27Release cadence — a release every ~11.7 days
8/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count100
latest_release_tagv3.112.0
releases_from_tagsno
days_since_latest_release12
mean_days_between_releases11.7

Community & Adoption

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

81Excellent · 17% of overall

Popularity & adoption

71Good
How it's scored
43.1/60Stars — 458 stars
19.2/25Forks — 201 forks
8.4/15Watchers — 33 watchers
Inputs used
forks201
stars458
watchers33
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 (Apache-2.0)
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_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes

Sustainability & Governance

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

90Excellent · 23% of overall

Maintainer resilience (bus factor)

93Exceptional
How it's scored
51.3/54Bus factor — 7 contributor(s) cover half of all commits
18.6/22.5Commit distribution — top contributor authored 17% of commits
13.5/13.5Contributor breadth — 100 contributors
10/10OpenSSF Scorecard: Contributors — project has 14 contributing companies or organizations
Inputs used
bus_factor7
contributors_sampled100
top_contributor_share0.174

Issue & PR responsiveness

93Exceptional
How it's scored
41.6/42Issue resolution — 99% of issues closed
26.2/30PR acceptance — 1,775/2,029 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
13.5/15OpenSSF Scorecard: Code-Review — Found 24/25 approved changesets -- score normalized to 9
Inputs used
merged_prs1,775
open_issues1
closed_issues95
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.99
closed_unmerged_prs254
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

84Excellent
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
14.8/25Owner reach — 112 followers of panther-labs
22.3/25Track record — 25 public repos, account ~7 yr old
Inputs used
followers112
owner_typeOrganization
is_verified—
owner_loginpanther-labs
public_repos25
account_age_days2,908
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 14 workflow(s)
24/24Tests present
16/16Linter config — .pylintrc
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 27 out of 27 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

65Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://panther.com/
10/10Repository description
10/10Topics — 4 topics
0/10Wiki
Inputs used
topicssecurity, python, cybersecurity, siem
has_wikino
homepagehttps://panther.com/
docs_sitehttps://panther.com/
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

55Moderate · 16% of overall

Security posture

55Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 27 out of 27 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6.8/7.5Code-Review — Found 24/25 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 14 contributing companies or organizations
0/10Dangerous-Workflow — 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 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
2/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
4.5/5SAST — SAST tool is not run on all commits -- score normalized to 9
2/5Security-Policy — security policy file detected
6/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 23 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.5
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging. Remaining weights renormalized.

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.

67Good · 4% of overall

Agent context & guidance

75Good
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes30,842
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

78Good
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — .pylintrc
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
4/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
Inputs used
has_nixno
has_testsyes
lockfilesPipfile.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 1/1,127 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes121,530
source_files_sampled1,127
oversized_source_files1

Machine-readable interfaces

33At Risk
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
0/40Runnable examples
Inputs used
example_dirs—
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

458GitHub stars
100contributors
397commits, last 12 months
4days since last push
100releases
7bus factor
1open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 5.5 / 10
5.5aggregate

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 · 2026-07-20 09:21 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-Tests27 out of 27 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
9Code-ReviewFound 24/25 approved changesets -- score normalized to 9
10Contributorsproject has 14 contributing companies or organizations
0Dangerous-Workflowdangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
4Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
9SASTSAST tool is not run on all commits -- score normalized to 9
4Security-Policysecurity policy file detected
8Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities23 existing vulnerabilities detected
All dependencies 130

Full resolved dependency set from the GitHub dependency graph: 0 direct and 130 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIaiohappyeyeballs2.6.2indirect
PyPIaiohttp3.13.3indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.12.1indirect
PyPIappdirs1.4.4indirect
PyPIastroid3.3.11indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs25.4.0indirect
PyPIbackoff2.2.1indirect
PyPIbandit1.9.4indirect
PyPIblack26.3.1indirect
PyPIboto31.42.97indirect
PyPIbotocore1.42.97indirect
PyPIcertifi2025.11.12indirect
PyPIcffi2.1.0indirect
PyPIcfgv3.5.0indirect
PyPIchardet5.2.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIclick8.3.3indirect
PyPIcolorama0.4.6indirect
PyPIcontextlib221.6.0indirect
PyPIcryptography49.0.0indirect
PyPIdatadog0.52.2indirect
PyPIdecorator5.2.1indirect
PyPIdiff-cover10.0.0indirect
PyPIdill0.4.1indirect
PyPIdistlib0.4.3indirect
PyPIdynaconf3.2.13indirect
PyPIexceptiongroup1.3.1indirect
PyPIfilelock3.29.6indirect
PyPIfrozenlist1.8.0indirect
PyPIgql4.0.0indirect
PyPIgraphql-core3.2.11indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIisort5.13.2indirect
PyPIjinja23.1.6indirect
PyPIjmespath1.0.1indirect
PyPIjsonlines4.0.0indirect
PyPIjsonpath-ng1.5.3indirect
PyPIjsonschema4.25.1indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIlibrt0.12.0indirect
PyPIlinkify-it-py2.1.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImccabe0.7.0indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPImoto5.2.2indirect
PyPImultidict6.7.1indirect
PyPImypy1.20.2indirect
PyPImypy-extensions1.1.0indirect
PyPInested-lookup0.2.25indirect
PyPInodeenv1.10.0indirect
PyPIpackaging25.0indirect
PyPIpanther-analysis-tool1.7.0indirect
PyPIpanther-core0.16.2indirect
PyPIpanther-detection-helpers0.4.0indirect
PyPIpathspec1.0.4indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIply3.11indirect
PyPIpolicyuniverse1.5.1.20230817indirect
PyPIpre-commit4.6.0indirect
PyPIpropcache0.4.1indirect
PyPIpycountry24.6.1indirect
PyPIpycparser3.0indirect
PyPIpydantic2.12.5indirect
PyPIpydantic-core2.41.5indirect
PyPIpygments2.19.2indirect
PyPIpylint3.3.9indirect
PyPIpytest9.0.3indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.4.3indirect
PyPIpytokens0.4.1indirect
PyPIpyyaml—indirect
PyPIpyyaml6.0.3indirect
PyPIreferencing0.37.0indirect
PyPIregex2025.11.3indirect
PyPIrequests2.33.1indirect
PyPIresponses0.26.2indirect
PyPIrich15.0.0indirect
PyPIrpds-py0.30.0indirect
PyPIruamel-yaml0.18.17indirect
PyPIruamel-yaml-clib0.2.15indirect
PyPIs3transfer0.16.1indirect
PyPIschema0.7.8indirect
PyPIsemver3.0.4indirect
PyPIsetuptools80.9.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsqlfluff4.2.2indirect
PyPIstevedore5.9.0indirect
PyPItblib3.2.2indirect
PyPItextual6.3.0indirect
PyPItoml0.10.2indirect
PyPItomli2.3.1indirect
PyPItomlkit0.15.0indirect
PyPItqdm4.67.3indirect
PyPItree-sitter0.26.0indirect
PyPItree-sitter-bash0.25.1indirect
PyPItree-sitter-css0.25.0indirect
PyPItree-sitter-go0.25.0indirect
PyPItree-sitter-html0.23.2indirect
PyPItree-sitter-java0.23.5indirect
PyPItree-sitter-javascript0.25.0indirect
PyPItree-sitter-json0.24.8indirect
PyPItree-sitter-markdown0.5.1indirect
PyPItree-sitter-python0.25.0indirect
PyPItree-sitter-regex0.25.0indirect
PyPItree-sitter-rust0.23.2indirect
PyPItree-sitter-sql0.3.7indirect
PyPItree-sitter-toml0.7.0indirect
PyPItree-sitter-xml0.7.0indirect
PyPItree-sitter-yaml0.7.2indirect
PyPItyper0.20.1indirect
PyPItyper-config1.4.3indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIuc-micro-py2.0.0indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.6.0indirect
PyPIwerkzeug3.1.8indirect
PyPIwrapt2.0.1indirect
PyPIxmltodict1.0.4indirect
PyPIyarl1.22.0indirect
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.

Related records

Inspected repositories sharing catalogue tags or ecosystems with panther-labs/panther-analysis. Read them side by side →

99OpenCTI-Platform/openctiOpen Cyber Threat Intelligence PlatformExceptional99IBM/mcp-context-forgeAn AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.Exceptional99prowler-cloud/prowlerProwler is the world’s most widely used open-source cloud security platform that automates security and compliance across any cloud environment.Exceptional98intuitem/ciso-assistant-communityCISO Assistant is a one-stop-shop GRC platform for Risk Management, AppSec, Compliance & Audit, TPRM, BIA, Privacy, and Reporting. It supports 200+ global frameworks with automatic control mapping, including ISO 27001, NIST CSF, SOC 2, CIS, PCI DSS, NIS2, DORA, GDPR, HIPAA, CMMC, and more.Exceptional98theupdateframework/python-tufPython reference implementation of The Update Framework (TUF)Exceptional97MISP/MISPMISP (core software) - Open Source Threat Intelligence and Sharing PlatformExceptional

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 v0.15.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics.