Public record
Software health reportschema 0.13.0 · metrics 2.10.0 · 2026-07-18 14:59 UTC

angr / angr-management

The official angr GUI.

PythonBSD-2-Clause★ 1,157 stars⑂ 130 forkssince Aug 2015View on GitHub ↗

angr/angr-management holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Vitality (96/100) and lowest on AI Readiness (42/100). It was last updated today. 3 contributors account for most of its recent work.

91
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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

angrOrganization
525 followers55 public repossince May 2015

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIangr-management9.3.0-3183 days ago

Metrics by category

Vitality

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

96Exceptional · 21% of overall

Development activity

100Exceptional
How it's scored
36/36Push recencylast push 0 days ago
36/36Commit cadence52/52 weeks with commits
18/18Commit volume399 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year399
human_commit_share
days_since_last_push0
active_weeks_last_year52
How it's scored
27/27Ships releases65 releases published
36/36Release recencylatest release 0 days ago
27/27Release cadencea release every ~7.4 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count65
latest_release_tagnightly
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases7.4

Community & Adoption

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

63Moderate · 17% of overall
How it's scored
49.7/60Stars1,157 stars
17.6/25Forks130 forks
8/15Watchers28 watchers
Inputs used
forks130
stars1,157
watchers28
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (BSD-2-Clause)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateno

Sustainability & Governance

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

83Excellent · 23% of overall
How it's scored
36/54Bus factor3 contributor(s) cover half of all commits
16/22.5Commit distributiontop contributor authored 29% of commits
13.5/13.5Contributor breadth56 contributors
10/10OpenSSF Scorecard: Contributorsproject has 37 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled56
top_contributor_share0.287
How it's scored
23.6/42Issue resolution56% of issues closed
29.2/30PR acceptance1,127/1,159 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
6/15OpenSSF Scorecard: Code-ReviewFound 11/23 approved changesets -- score normalized to 4
Inputs used
merged_prs1,127
open_issues230
closed_issues295
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.562
closed_unmerged_prs32
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.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
19.6/25Owner reach525 followers of angr
24.7/25Track record55 public repos, account ~11 yr old
Inputs used
followers525
owner_typeOrganization
is_verified
owner_loginangr
public_repos55
account_age_days4,077
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 3 days ago
20/20Version history318 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesangr-management
ecosystemspypi
any_deprecatedno
min_days_since_publish3

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows6 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
12/20OpenSSF Scorecard: CI-Tests16 out of 23 merged PRs checked by a CI test -- score normalized to 6
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://docs.angr.io/projects/angr-management/en/latest/
10/10Repository description
10/10Topics3 topics
10/10Wiki
Inputs used
topicsangr, hacktoberfest, program-analysis
has_wikiyes
homepagehttps://docs.angr.io/projects/angr-management/en/latest/
docs_sitehttps://docs.angr.io/projects/angr-management/en/latest/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

48Weak · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
1.5/2.5CI-Tests16 out of 23 merged PRs checked by a CI test -- score normalized to 6
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3/7.5Code-ReviewFound 11/23 approved changesets -- score normalized to 4
2.5/2.5Contributorsproject has 37 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
2.5/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.8
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.

42Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
11/11Lint / format config
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practiceno data
0/8Automated maintenanceno data
5/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.
How it's scored
0/45Type-checkable codePython without a type-check config
54.6/55Manageable file sizes2/309 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes117,835
source_files_sampled309
oversized_source_files2

Key facts

1,157GitHub stars
56contributors
399commits, last 12 months
0days since last push
65releases
3bus factor
230open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 4.8 / 10
4.8aggregate

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 · 2026-07-18 14:59 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
6CI-Tests16 out of 23 merged PRs checked by a CI test -- score normalized to 6
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 11/23 approved changesets -- score normalized to 4
10Contributorsproject has 37 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 6 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 16
RegistryPackageVersion constraintManifest
PyPIPySide6-Essentials>=6.4.2,!=6.7.0pyproject.toml
PyPIPySide6-QtAds>=4.2.1pyproject.toml
PyPIQtAwesome==1.4.0pyproject.toml
PyPIQtPypyproject.toml
PyPIangr==9.3.1.dev0pyproject.toml
PyPIbidictpyproject.toml
PyPIcle==9.3.1.dev0pyproject.toml
PyPIipythonpyproject.toml
PyPIpyqodeng>=0.0.10pyproject.toml
PyPIrequestspyproject.toml
PyPItomlkitpyproject.toml
PyPIpyobjc-framework-Cocoapyproject.toml
PyPIthefuzzpyproject.toml
PyPIbinsync==5.7.11pyproject.toml
PyPIrpycpyproject.toml
PyPIqtconsolepyproject.toml
All dependencies 23

Full resolved dependency set from the GitHub dependency graph: 17 direct and 6 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIangrdirect
PyPIangr9.3.1.dev0direct
PyPIbidictdirect
PyPIbinsync5.7.11direct
PyPIcle9.3.1.dev0direct
PyPIipythondirect
PyPIpyobjc-framework-cocoadirect
PyPIpyqodengdirect
PyPIpyside6-essentialsdirect
PyPIpyside6-qtadsdirect
PyPIqtawesome1.4.0direct
PyPIqtconsoledirect
PyPIqtpydirect
PyPIrequestsdirect
PyPIrpycdirect
PyPIthefuzzdirect
PyPItomlkitdirect
PyPIfuroindirect
PyPImyst-parserindirect
PyPIpyinstallerindirect
PyPIsetuptoolsindirect
PyPIsphinxindirect
PyPIsphinx-autodoc-typehintsindirect
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 v0.13.0 — full methodology · metrics wiki.

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