Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 18:07 UTC

Akuli / porcupine

A decent editor written in tkinter

PythonMIT★ 184 stars⑂ 47 forkssince Feb 2017View on GitHub ↗
KindCommand-line toolhow this is determined

Akuli/porcupine holds a health index of 45 out of 100, placing it in the Weak band. It scores highest on Engineering Quality (66/100) and lowest on Vitality (36/100). It was last updated 149 days ago. A single contributor accounts for most of its recent work.

45
overall / 100
Weak

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.

45
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 52 is calibrated to 53 on the published index scale (record calibration 2026-08-02).

Ownership

AkuliPersonal account
247 followers94 public repossince Apr 2016

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIporcupinepoints to another repo — not scored0.6-0—xulajaxframeworkweb2.0

Metrics by category

Vitality

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

36Weak · 21% of overall
How it's scored
9.9/36Push recency — last push 149 days ago
2.1/36Commit cadence — 3/52 weeks with commits
10/18Commit volume — 12 commits in the last year
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year12
human_commit_share0.99
days_since_last_push149
active_weeks_last_year3
How it's scored
27/27Ships releases — 40 releases published
16.2/36Release recency — latest release 206 days ago
12.6/27Release cadence — a release every ~141 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count40
latest_release_tagv2026.02.16
releases_from_tagsno
days_since_latest_release206
mean_days_between_releases141

Community & Adoption

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

61Moderate · 17% of overall
How it's scored
36.7/60Stars — 184 stars
13.9/25Forks — 47 forks
3.3/15Watchers — 5 watchers
Inputs used
forks47
stars184
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
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?

56Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.5/22.5Commit distribution — top contributor authored 93% of commits
13.5/13.5Contributor breadth — 29 contributors
10/10OpenSSF Scorecard: Contributors — project has 10 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled29
top_contributor_share0.933
How it's scored
32.6/42Issue resolution — 78% of issues closed
28.4/30PR acceptance — 583/616 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
3/15OpenSSF Scorecard: Code-Review — Found 7/29 approved changesets -- score normalized to 2
Inputs used
merged_prs583
open_issues204
closed_issues705
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.776
closed_unmerged_prs33
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
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
17.2/25Owner reach — 247 followers of Akuli
25/25Track record — 94 public repos, account ~10 yr old
Inputs used
followers247
owner_typeUser
is_verified—
owner_loginAkuli
public_repos94
account_age_days3,798
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

66Good · 19% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff], [tool.black], [tool.isort])
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
6/20OpenSSF Scorecard: CI-Tests — 6 out of 20 merged PRs checked by a CI test -- score normalized to 3
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configno

Documentation

50Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 4 topics
0/10Wiki
Inputs used
topicseditor, tkinter, python, text-editor
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

39Weak · 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
0.8/2.5CI-Tests — 6 out of 20 merged PRs checked by a CI test -- score normalized to 3
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-Review — Found 7/29 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 10 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
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
3.8/7.5Vulnerabilities — 5 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate3.6
Excluded from scoring (no data or not applicable): Packaging. Remaining weights renormalized.
How it's scored
7/35Direct dependencies free of known advisories — 2 affected: black 26.1.0 (critical 9.8), pygments 2.15.0 (low 3.3)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
30.1/40No advisories left outstanding — 2 advisory-carrying package(s) unaddressed past 90 days; oldest published 1,149 days ago
Inputs used
sourceosv
advisories8
affected_packages3
assessed_packages20
unassessed_packages8
affected_by_severitycritical 1, moderate 1, low 1
direct_affected_packages2
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 20 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.

53Moderate · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
38.8/40Legible commit history — 72 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.727
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff], [tool.black], [tool.isort])
11/11Static type checking — mypy.ini
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 1 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
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsmypy.ini
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.01
How it's scored
27/45Type-checkable code — Python with type-check config (mypy.ini)
55/55Manageable file sizes — 0/133 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes39,024
source_files_sampled133
oversized_source_files0

Key facts

184GitHub stars
29contributors
12commits, last 12 months
149days since last push
40releases
1bus factor
204open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi package 'porcupine' points at a different repository (http://www.innoscript.org); excluded from ecosystem scoring
  • deps.dev does not index pypi:porcupine@0.6; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 47 ⇿
0Stars
47Forks
39Releases

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.

010203040504742017-062021-062025-07
Major 0Minor 14Patch 25

Each point covers 8 days.

OpenSSF Scorecard 3.6 / 10
3.6aggregate

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 · 2026-09-10 18:06 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
3CI-Tests6 out of 20 merged PRs checked by a CI test -- score normalized to 3
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 7/29 approved changesets -- score normalized to 2
10Contributorsproject has 10 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
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
5Vulnerabilities5 existing vulnerabilities detected
Direct dependencies 13
RegistryPackageVersion constraintManifest
PyPIPygments==2.15.0pyproject.toml
PyPIcolorama>=0.2.5pyproject.toml
PyPIsansio-lsp-client>=0.10.0,<0.11.0pyproject.toml
PyPIblack==26.1.0pyproject.toml
PyPIisort>=7.0.0pyproject.toml
PyPIdacite>=1.5.1,<2.0.0pyproject.toml
PyPItomli==2.0.1pyproject.toml
PyPIsend2trash>=1.8.0,<2.0.0pyproject.toml
PyPIpsutil>=5.8.0,<6.0.0pyproject.toml
PyPIPyYAML>=6.0,<7pyproject.toml
PyPItree-sitter-language-pack==0.13.0pyproject.toml
PyPIrequests>=2.24.0, <3.0.0pyproject.toml
PyPIsv-ttk==2.6.1pyproject.toml
All dependencies 28

Full resolved dependency set from the GitHub dependency graph: 13 direct and 15 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIblack26.1.0direct
PyPIcolorama—direct
PyPIdacite—direct
PyPIisort—direct
PyPIpsutil—direct
PyPIpygments2.15.0direct
PyPIpyyaml—direct
PyPIrequests—direct
PyPIsansio-lsp-client—direct
PyPIsend2trash—direct
PyPIsv-ttk2.6.1direct
PyPItomli2.0.1direct
PyPItree-sitter-language-pack0.13.0direct
PyPImypy1.9.0indirect
PyPIpycln2.6.0indirect
PyPIpytest9.0.2indirect
PyPIpytest-mock3.15.1indirect
PyPIpyupgrade3.21.2indirect
PyPItypes-colorama0.4.15.8indirect
PyPItypes-docutils0.19.1.6indirect
PyPItypes-psutil5.9.5.10indirect
PyPItypes-pygments2.14.0.6indirect
PyPItypes-pyyaml6.0.12.8indirect
PyPItypes-requests2.31.0.20240311indirect
PyPItypes-send2trash1.8.2.4indirect
PyPItypes-setuptools67.6.0.5indirect
PyPItypes-tree-sitter0.20.1.2indirect
PyPItypes-tree-sitter-languages1.5.0.2indirect
Dependency advisories 3

This repository publishes no package the index resolves, so its own dependency graph was assessed — 20 packages, which also include development and test pins that never ship: 3 carry known advisories, of which 2 are direct. 8 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
black26.1.0directcritical326.3.1
pytest9.0.2indirectmoderate29.0.3
pygments2.15.0directlow32.20.0

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.

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.