Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 14:26 UTC

twisted / incremental

A library for versioning your Python projects.

PythonCustom license★ 144 stars⑂ 21 forkssince Nov 2015View on GitHub ↗
KindPluginCommand-line toolLibraryhow this is determined

twisted/incremental holds a health index of 67 out of 100, placing it in the Good band. It scores highest on Engineering Quality (82/100) and lowest on Vitality (26/100). It was last updated 62 days ago. 2 contributors account for most of its recent work.

67
overall / 100
Good

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.

67
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 61 is calibrated to 67 on the published index scale (record calibration 2026-08-02).

Ownership

119 followers42 public repossince Apr 2011

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIIncremental24.11.016,053,43217272 days ago

Metrics by category

Vitality

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

26At Risk · 21% of overall
How it's scored
18/36Push recencylast push 62 days ago
9/36Commit cadence13/52 weeks with commits
16/18Commit volume60 commits in the last year
0/10OpenSSF Scorecard: Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year60
human_commit_share0.6
days_since_last_push62
active_weeks_last_year13
How it's scored
0/27Ships releasesno releases published
0/36Release recencyno releases
0/27Release cadenceno releases
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count0
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?

66Good · 17% of overall
How it's scored
35/60Stars144 stars
10.8/25Forks21 forks
6.2/15Watchers14 watchers
Inputs used
forks21
stars144
watchers14
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5Licenselicense file present, not a recognized license
0/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductyes
readme_badge_services
has_pull_request_templateno
How it's scored
80/80Monthly downloads16,053,432 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesIncremental
dependents
ecosystemspypi
total_downloads
monthly_downloads16,053,432
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?

70Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
12.5/22.5Commit distributiontop contributor authored 44% of commits
13.5/13.5Contributor breadth12 contributors
10/10OpenSSF Scorecard: Contributorsproject has 27 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled12
top_contributor_share0.444
How it's scored
36.2/42Issue resolution86% of issues closed
21.8/30PR acceptance103/142 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/1 approved changesets -- score normalized to 0
Inputs used
merged_prs103
open_issues8
closed_issues50
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.862
closed_unmerged_prs39
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
30/30Ownership backingorganization-owned
0/20Verified domain
14.9/25Owner reach119 followers of twisted
23.9/25Track record42 public repos, account ~15 yr old
Inputs used
followers119
owner_typeOrganization
is_verifiedno
owner_logintwisted
public_repos42
account_age_days5,620
How it's scored
25/25Published & resolvable1 package(s) on pypi
26/35Publish recencylatest publish 272 days ago
20/20Version history17 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesIncremental
ecosystemspypi
any_deprecatedno
min_days_since_publish272

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall
How it's scored
24/24CI workflows2 workflow(s)
24/24Tests present
16/16Linter configpyproject.toml ([tool.ruff]), tox.ini
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests15 out of 15 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
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage sitehttps://twisted.org/incremental/docs/
10/10Repository description
10/10Topics2 topics
0/10Wiki
Inputs used
topicsversioning, python
has_wikino
homepage
docs_sitehttps://twisted.org/incremental/docs/
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

64Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
2.5/2.5CI-Tests15 out of 15 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0/7.5Code-ReviewFound 0/1 approved changesets -- score normalized to 0
2.5/2.5Contributorsproject has 27 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.2/2.5Licenselicense file detected
0/7.5Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTSAST tool is not run on all commits -- score normalized to 0
4.5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
7.5/7.5Token-PermissionsGitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities12 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, Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages1
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:Incremental@24.11.0 runtime dependency closure — what installing the published package pulls in — 1 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.

53Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
39.1/40Legible commit history44 of 60 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.733
agent_instruction_files
agent_instruction_max_bytes
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format configpyproject.toml ([tool.ruff]), tox.ini
11/11Static type checkingmypy.ini, src/incremental/py.typed
0/10Reproducible environment
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance39 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency 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, src/incremental/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.39
How it's scored
27/45Type-checkable codePython with type-check config (mypy.ini, src/incremental/py.typed)
55/55Manageable file sizes0/18 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes34,592
source_files_sampled18
oversized_source_files0

Key facts

144GitHub stars
12contributors
60commits, last 12 months
62days since last push
0releases
2bus factor
8open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 21 ⇿
0Stars
21Forks

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.

048121620242122017-032021-052025-08

Each point covers 8 days.

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 · 2026-08-27 14:25 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-Tests15 out of 15 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/1 approved changesets -- score normalized to 0
10Contributorsproject has 27 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
9Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities12 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIpackaging>= 17.0pyproject.toml
PyPItomlipyproject.toml
All dependencies 65

Full resolved dependency set from the GitHub dependency graph: 4 direct and 61 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIpackagingdirect
PyPIpackaging26.0direct
PyPItomlidirect
PyPItomli2.0.1direct
PyPIanyio4.4.0indirect
PyPIattrs23.2.0indirect
PyPIautomat24.8.1indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbuild1.4.2indirect
PyPIcertifi2025.10.5indirect
PyPIcffi2.0.0indirect
PyPIclick8.1.7indirect
PyPIconstantly23.10.4indirect
PyPIcoverage7.5.4indirect
PyPIcoverage-p25.2.0indirect
PyPIcryptography46.0.7indirect
PyPIdistlib0.3.8indirect
PyPIexceptiongroup1.2.1indirect
PyPIfilelock3.15.4indirect
PyPIh110.16.0indirect
PyPIhatch1.15.1indirect
PyPIhatchling1.27.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIhyperlink21.0.0indirect
PyPIidna3.11indirect
PyPIimportlib-metadata8.0.0indirect
PyPIincrementalindirect
PyPIincremental24.7.2indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context5.3.0indirect
PyPIjaraco-functools4.0.1indirect
PyPIjeepney0.8.0indirect
PyPIkeyring25.2.1indirect
PyPIlibrt0.8.1indirect
PyPImarkdown-it-py3.0.0indirect
PyPImdurl0.1.2indirect
PyPImore-itertools10.3.0indirect
PyPImypy1.19.1indirect
PyPImypy-extensions1.0.0indirect
PyPIpathspec0.12.1indirect
PyPIpexpect4.9.0indirect
PyPIplatformdirs4.2.2indirect
PyPIpluggy1.5.0indirect
PyPIptyprocess0.7.0indirect
PyPIpycparser2.22indirect
PyPIpygments2.20.0indirect
PyPIpyproject-hooks1.1.0indirect
PyPIrich13.7.1indirect
PyPIruff0.15.1indirect
PyPIsecretstorage3.3.3indirect
PyPIshellingham1.5.4indirect
PyPIsniffio1.3.1indirect
PyPItomli-w1.0.0indirect
PyPItomlkit0.13.0indirect
PyPItrove-classifiers2024.7.2indirect
PyPItwisted25.5.0indirect
PyPItyping-extensions4.12.2indirect
PyPItyping-extensions4.15.0indirect
PyPIuserpath1.9.2indirect
PyPIuv0.11.6indirect
PyPIvirtualenv20.28.0indirect
PyPIzipp3.19.2indirect
PyPIzope-interface8.0.1indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

Installing pypi:Incremental@24.11.0 pulls in 1 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 statisticsPyPI.