Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-13 04:07 UTC

mozman / ezdxf

Python interface to DXF

PythonMIT★ 1,402 stars⑂ 268 forkssince Jan 2017View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

mozman/ezdxf holds a health index of 67 out of 100, placing it in the Good band. It scores highest on Vitality (73/100) and lowest on Security (21/100). It was last updated 22 days ago. A single contributor accounts 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

Manfred MoitziPersonal account
210 followers14 public repossince Apr 2013

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
PyPIezdxf1.4.4-11990 days agodxfcad

Metrics by category

Vitality

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

73Good · 21% of overall
How it's scored
28.8/36Push recencylast push 22 days ago
15.9/36Commit cadence23/52 weeks with commits
17.8/18Commit volume96 commits in the last year
0/10OpenSSF Scorecard: Maintainedno data
Inputs used
commits_last_year96
human_commit_share1
days_since_last_push22
active_weeks_last_year23
How it's scored
16.2/27Ships releases24 version tags (no GitHub releases)
36/36Release recencylatest release 90 days ago
19.8/27Release cadencea release every ~78.6 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count24
latest_release_tagv1.4.4
releases_from_tagsyes
days_since_latest_release90
mean_days_between_releases78.6

Community & Adoption

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

66Good · 17% of overall
How it's scored
51/60Stars1,402 stars
20.2/25Forks268 forks
8.5/15Watchers35 watchers
Inputs used
forks268
stars1,402
watchers35
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code 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_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?

64Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
0.7/22.5Commit distributiontop contributor authored 97% of commits
13.5/13.5Contributor breadth45 contributors
0/10OpenSSF Scorecard: Contributorsno data
Inputs used
bus_factor1
contributors_sampled45
top_contributor_share0.971
How it's scored
40.4/42Issue resolution96% of issues closed
21.3/30PR acceptance118/166 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Reviewno data
Inputs used
merged_prs118
open_issues25
closed_issues612
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.961
closed_unmerged_prs48
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 backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
16.7/25Owner reach210 followers of mozman
20.6/25Track record14 public repos, account ~13 yr old
Inputs used
followers210
owner_typeUser
is_verified
owner_loginmozman
public_repos14
account_age_days4,860
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 90 days ago
20/20Version history119 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesezdxf
ecosystemspypi
any_deprecatedno
min_days_since_publish90

Engineering Quality

Are baseline engineering and documentation practices in place?

72Good · 19% of overall
How it's scored
24/24CI workflows9 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://ezdxf.mozman.at
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepagehttps://ezdxf.mozman.at
docs_sitehttps://ezdxf.mozman.at
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

21At Risk · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles
manifestsarchive/setup.py, docs/requirements.txt, pyproject.toml, requirements-dev.txt, requirements.txt, setup.py
has_codeql_workflowno
has_security_policyno
has_dependabot_configno

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_packages4
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:ezdxf@1.4.4 runtime dependency closure — what installing the published package pulls in — 4 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.

56Moderate · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
19.7/40Legible commit history37 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.37
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
0/11Lint / format config
11/11Static type checkingsrc/ezdxf/py.typed
0/10Reproducible environment
0/10Demonstrated agent practiceno agent-authored commits among the last 100
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesno data
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configno
typecheck_configssrc/ezdxf/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (src/ezdxf/py.typed)
54.6/55Manageable file sizes8/1,067 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes138,334
source_files_sampled1,067
oversized_source_files8
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
0/20MCP servernot applicable to this kind of software
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
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

1,402GitHub stars
45contributors
96commits, last 12 months
22days since last push
24releases
1bus factor
25open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'tricy' from its registry
  • OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks

More detail

Star and fork history 0 ★ / 268 ⇿
0Stars
268Forks
24Releases

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.

05010015020025030026752017-022021-112026-08
Major 1Minor 4Patch 19

Each point covers 9 days.

Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIpyparsing>=3.0.0pyproject.toml
PyPItyping_extensions>=4.6.0pyproject.toml
PyPInumpypyproject.toml
PyPIfonttoolspyproject.toml
All dependencies 16

Full resolved dependency set from the GitHub dependency graph: 4 direct and 12 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIfonttoolsdirect
PyPInumpydirect
PyPIpyparsingdirect
PyPItyping-extensionsdirect
PyPIcythonindirect
PyPImatplotlibindirect
PyPImypyindirect
PyPIpillowindirect
PyPIpymupdfindirect
PyPIpyside6indirect
PyPIpytestindirect
PyPIsetuptoolsindirect
PyPIsphinxindirect
PyPIsphinx-rtd-themeindirect
PyPIsphinxcontrib-jqueryindirect
PyPIwheelindirect
Dependency advisories 0

Installing pypi:ezdxf@1.4.4 pulls in 4 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 v0.31.0 — full methodology · metrics wiki.

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