Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 07:48 UTC

MISP / PyMISP

Python library using the MISP Rest API

PythonCustom license★ 491 stars⑂ 290 forkssince Apr 2014View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

MISP/PyMISP holds a health index of 93 out of 100, placing it in the Exceptional band. It scores highest on Vitality (95/100) and lowest on Security (68/100). It was last updated 2 days ago. A single contributor accounts for most of its recent work.

93
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.

93
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 79 is calibrated to 93 on the published index scale (record calibration 2026-08-02).

Ownership

MISP ProjectOrganization · verified domain
1,165 followers106 public repossince Apr 2013

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIpymisp2.5.34.3798,2791926 days ago

Metrics by category

Vitality

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

95Exceptional · 21% of overall
How it's scored
36/36Push recency — last push 2 days ago
28.4/36Commit cadence — 41/52 weeks with commits
18/18Commit volume — 191 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year191
human_commit_share0.91
days_since_last_push2
active_weeks_last_year41

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 28 releases published
36/36Release recency — latest release 6 days ago
27/27Release cadence — a release every ~24.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count28
latest_release_tagv2.5.34.3
releases_from_tagsno
days_since_latest_release6
mean_days_between_releases24.5
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?

69Good · 17% of overall
How it's scored
43.6/60Stars — 491 stars
20.5/25Forks — 290 forks
9/15Watchers — 43 watchers
Inputs used
forks290
stars491
watchers43
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges5
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicescoveralls.io, readthedocs.org, shields.io
has_pull_request_templateno
How it's scored
78.7/80Monthly downloads — 798,279 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespymisp
dependents—
ecosystemspypi
total_downloads—
monthly_downloads798,279
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?

72Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
6.5/22.5Commit distribution — top contributor authored 71% of commits
13.5/13.5Contributor breadth — 99 contributors
10/10OpenSSF Scorecard: Contributors — project has 46 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled99
top_contributor_share0.709
How it's scored
35.4/42Issue resolution — 84% of issues closed
12.9/30PR acceptance — 346/804 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
3/15OpenSSF Scorecard: Code-Review — Found 4/18 approved changesets -- score normalized to 2
Inputs used
merged_prs346
open_issues98
closed_issues529
prs_merged_7d0
prs_decided_7d0
prs_merged_30d1
prs_decided_30d1
issue_closed_ratio0.844
closed_unmerged_prs458
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
22/25Owner reach — 1,165 followers of MISP
25/25Track record — 106 public repos, account ~13 yr old
Inputs used
followers1,165
owner_typeOrganization
is_verifiedyes
owner_loginMISP
public_repos106
account_age_days4,905

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 6 days ago
20/20Version history — 192 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespymisp
ecosystemspypi
any_deprecatedno
min_days_since_publish6

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 8 out of 8 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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://pymisp.readthedocs.io
10/10Repository description
10/10Topics — 5 topics
0/10Wiki
Inputs used
topicsmisp, api, api-client, threat-sharing, threatintel
has_wikino
homepage—
docs_sitehttps://pymisp.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

68Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 8 out of 8 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
1.5/7.5Code-Review — Found 4/18 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 46 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
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6
Excluded from scoring (no data or not applicable): 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
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_packages9
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:pymisp@2.5.34.3 runtime dependency closure — what installing the published package pulls in — 9 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.

71Good · 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 — 72 of 91 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.791
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — docs/Makefile
22/22Automated tests
11/11Lint / format config
11/11Static type checking — mypy.ini, pymisp/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 9 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configsmypy.ini, pymisp/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.09
How it's scored
27/45Type-checkable code — Python with type-check config (mypy.ini, pymisp/py.typed)
53.5/55Manageable file sizes — 4/144 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes211,755
source_files_sampled144
oversized_source_files4
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalno
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

491GitHub stars
99contributors
191commits, last 12 months
2days since last push
28releases
1bus factor
98open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'pymisp' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for pymisp carried forward from the previous scan (stats endpoint unavailable this scan)

More detail

Star and fork history 0 ★ / 290 ⇿
0Stars
290Forks
28Releases

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.

05010015020025030028342014-082020-082026-09
Major 0Minor 0Patch 12

Each point covers 12 days.

OpenSSF Scorecard 6.0 / 10
6.0aggregate

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 · 2026-09-17 07:48 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests8 out of 8 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 4/18 approved changesets -- score normalized to 2
10Contributorsproject has 46 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIrequests(>=2.34.2)pyproject.toml
PyPIpython-dateutil(>=2.9.0.post0)pyproject.toml
PyPIdeprecated(>=1.3.1)pyproject.toml
All dependencies 88

Full resolved dependency set from the GitHub dependency graph: 3 direct and 85 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIdeprecated1.3.1direct
PyPIpython-dateutil2.9.0.post0direct
PyPIrequests2.34.2direct
PyPIalabaster1.0.0indirect
PyPIast-serialize0.11.2indirect
PyPIbabel2.18.0indirect
PyPIbeautifulsoup44.15.0indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcharset-normalizer3.5.1indirect
PyPIcolorama0.4.6indirect
PyPIcolorclass2.2.2indirect
PyPIcompressed-rtf1.0.7indirect
PyPIcoverage7.16.1indirect
PyPIcryptography50.0.1indirect
PyPIdocutils0.22.4indirect
PyPIeasygui0.98.3indirect
PyPIebcdic2.0.1indirect
PyPIexceptiongroup1.3.1indirect
PyPIextract-msg0.56.1indirect
PyPIidna3.19indirect
PyPIimagesize2.0.1indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIlark1.3.1indirect
PyPIlibrt0.15.0indirect
PyPIlief1.0.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdit-py-plugins0.6.1indirect
PyPImdurl0.1.2indirect
PyPImsoffcrypto-tool6.0.0indirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPImyst-parser5.1.0indirect
PyPIneo4j6.3.0indirect
PyPIolefile0.47indirect
PyPIoletools0.60.2indirect
PyPIpackaging26.3indirect
PyPIpathspec1.1.1indirect
PyPIpcodedmp1.2.6indirect
PyPIpillow12.3.0indirect
PyPIpluggy1.6.0indirect
PyPIpure-magic-rs0.5.0indirect
PyPIpycparser3.0indirect
PyPIpydeep20.5.1indirect
PyPIpyfaup-rs0.4.19indirect
PyPIpygments2.21.0indirect
PyPIpyparsing3.3.2indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpytz2026.3.post1indirect
PyPIpyyaml6.0.3indirect
PyPIred-black-tree-mod1.22indirect
PyPIreportlab5.0.1indirect
PyPIrequests-mock1.12.1indirect
PyPIroman-numerals4.1.0indirect
PyPIrtfde0.1.2.2indirect
PyPIsix1.17.0indirect
PyPIsnowballstemmer3.1.1indirect
PyPIsoupsieve2.9.2indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-autodoc-typehints3.13.6indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItomli2.4.1indirect
PyPItypes-cffi2.1.0.20260827indirect
PyPItypes-click7.1.8indirect
PyPItypes-flask1.1.6indirect
PyPItypes-jinja22.11.9indirect
PyPItypes-markupsafe1.1.10indirect
PyPItypes-pyopenssl24.1.0.20240722indirect
PyPItypes-python-dateutil2.9.0.20260807indirect
PyPItypes-redis4.6.0.20241004indirect
PyPItypes-requests2.33.0.20260906indirect
PyPItypes-setuptools84.0.0.20260812indirect
PyPItypes-werkzeug1.0.9indirect
PyPItyping-extensions4.16.0indirect
PyPItzdata2026.4indirect
PyPItzlocal5.4.4indirect
PyPIurllib32.7.0indirect
PyPIvalidators0.35.0indirect
PyPIwin-unicode-console0.5indirect
PyPIwrapt2.4.1indirect
Dependency advisories 0

Installing pypi:pymisp@2.5.34.3 pulls in 9 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.

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.