Public record
Software health reportschema 0.30.0 · metrics 2.5.0 · 2026-08-03 03:37 UTC

abelcheung / types-lxml

Complete lxml external type annotation

PythonApache-2.0★ 84 stars⑂ 10 forkssince Mar 2022View on GitHub ↗

abelcheung/types-lxml holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Engineering Quality (84/100) and lowest on Community & Adoption (58/100). It was last updated 34 days ago. A single contributor accounts for most of its recent work.

78
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.

78
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 67 is calibrated to 78 on the published index scale (record calibration 2026-08-02).

Ownership

Abel CheungPersonal account
26 followers14 public repossince May 2009

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
PyPItypes-lxml2026.2.163,484,04020167 days agolxmltypingstubsannotation

Metrics by category

Vitality

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

63Moderate · 21% of overall
How it's scored
18/36Push recency — last push 34 days ago
18.7/36Commit cadence — 27/52 weeks with commits
18/18Commit volume — 211 commits in the last year
1/10OpenSSF Scorecard: Maintained — 1 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 1
Inputs used
commits_last_year211
human_commit_share0.94
days_since_last_push34
active_weeks_last_year27
How it's scored
27/27Ships releases — 20 releases published
27/36Release recency — latest release 160 days ago
19.8/27Release cadence — a release every ~58.4 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count20
latest_release_tag2026.02.16
releases_from_tagsno
days_since_latest_release160
mean_days_between_releases58.4

Community & Adoption

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

58Moderate · 17% of overall
How it's scored
31.1/60Stars — 84 stars
8/25Forks — 10 forks
0/15Watchers — 1 watchers
Inputs used
forks10
stars84
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno
How it's scored
80/80Monthly downloads — 3,484,040 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagestypes-lxml
dependents
ecosystemspypi
total_downloads
monthly_downloads3,484,040
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?

61Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
3.1/22.5Commit distribution — top contributor authored 86% of commits
13.5/13.5Contributor breadth — 32 contributors
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled32
top_contributor_share0.864
How it's scored
35/42Issue resolution — 83% of issues closed
25.1/30PR acceptance — 62/74 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/22 approved changesets -- score normalized to 0
Inputs used
merged_prs62
open_issues8
closed_issues40
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.833
closed_unmerged_prs12
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
10.3/25Owner reach — 26 followers of abelcheung
20.6/25Track record — 14 public repos, account ~17 yr old
Inputs used
followers26
owner_typeUser
is_verified
owner_loginabelcheung
public_repos14
account_age_days6,293
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 167 days ago
20/20Version history — 20 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagestypes-lxml
ecosystemspypi
any_deprecatedno
min_days_since_publish167

Engineering Quality

Are baseline engineering and documentation practices in place?

84Excellent · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 13 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 4 out of 4 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

60Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 5 topics
10/10Wiki
Inputs used
topicslxml, stubs, annotation, typing, python
has_wikiyes
homepage
has_readmeyes
has_docs_dirno
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 — no data
2.5/2.5CI-Tests — 4 out of 4 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
0/7.5Code-Review — Found 0/22 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 8 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
0.8/7.5Maintained — 1 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 1
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
4.5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
3/7.5Token-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): branch_protection. 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_packages6
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:types-lxml@2026.2.16 runtime dependency closure — what installing the published package pulls in — 6 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.

73Good · 4% of overall
How it's scored
45/45Agent instructions — .github/copilot-instructions.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 94 of 94 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share1
agent_instruction_files.github/copilot-instructions.md
agent_instruction_max_bytes9,971
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
11/11Static type checking — src/lxml-stubs/py.typed, tests/runtime/mypy.ini
0/10Reproducible environment
8/10Demonstrated agent practice — 4 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 2 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_configssrc/lxml-stubs/py.typed, tests/runtime/mypy.ini
agent_commit_share0.04
toolchain_manifests
dependency_bot_commit_share0.02
How it's scored
27/45Type-checkable code — Python with type-check config (src/lxml-stubs/py.typed, tests/runtime/mypy.ini)
55/55Manageable file sizes — 0/42 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes28,417
source_files_sampled42
oversized_source_files0

Key facts

84GitHub stars
32contributors
211commits, last 12 months
34days since last push
20releases
1bus 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 ★ / 10 ⇿
0Stars
10Forks
18Releases

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.

02468101022022-082024-072026-06
Major 0Minor 0Patch 18

Each point covers 4 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 · 2026-08-03 03:37 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-Tests4 out of 4 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 0/22 approved changesets -- score normalized to 0
10Contributorsproject has 8 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
1Maintained1 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 1
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
9Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
4Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPItyping_extensions~= 4.15pyproject.toml
PyPIcssselect~= 1.2pyproject.toml
PyPIbeautifulsoup4~= 4.13pyproject.toml
PyPItypes-html5lib~= 1.1.11.20250809pyproject.toml
All dependencies 3

Full resolved dependency set from the GitHub dependency graph: 2 direct and 1 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcssselectdirect
PyPItyping-extensionsdirect
PyPItypes-beautifulsoup4indirect
Dependency advisories 0

Installing pypi:types-lxml@2026.2.16 pulls in 6 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

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 v2.5.0, schema v0.30.0 — full methodology · metrics wiki.

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