Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-04 08:25 UTC

Josverl / micropython-stubber

Generate and maintain stubs for different MicroPython ports to use with VSCode and Pylance, PyRight, Thonny, PyCharm or MyPy

Python · JavaScriptCustom license★ 255 stars⑂ 15 forkssince Mar 2019View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#micropython-stubs#micropython-stubber#firmware-stubs#python#micropython#static-typing#pyright#pylance#vscode#mypy#mypy-stubs#typed

Josverl/micropython-stubber holds a health index of 80 out of 100, placing it in the Excellent band. It scores highest on AI Readiness (87/100) and lowest on Community & Adoption (48/100). It was last updated today. A single contributor accounts for most of its recent work.

80
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.

80
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 68 is calibrated to 80 on the published index scale (record calibration 2026-08-02).

Ownership

Jos VerlindePersonal account
75 followers252 public repossince Aug 2011@microsoft

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
PyPImicropython-stubber1.29.064810934 days agomicropythonlintingpyrightstatic-type-checkstubsvscode

Metrics by category

Vitality

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

81Excellent · 21% of overall

Development activity

80Excellent
How it's scored
36/36Push recency — last push 0 days ago
15.9/36Commit cadence — 23/52 weeks with commits
18/18Commit volume — 215 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year215
human_commit_share0.89
days_since_last_push0
active_weeks_last_year23

Release discipline

83Excellent
How it's scored
27/27Ships releases — 34 releases published
36/36Release recency — latest release 34 days ago
19.8/27Release cadence — a release every ~88.5 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count34
latest_release_tagv1.29.0
releases_from_tagsno
days_since_latest_release34
mean_days_between_releases88.5

Community & Adoption

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

48Weak · 17% of overall

Popularity & adoption

52Moderate
How it's scored
39/60Stars — 255 stars
9.6/25Forks — 15 forks
3.9/15Watchers — 6 watchers
Inputs used
forks15
stars255
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

44Weak
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges8
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbadgen.net, github.com, readthedocs.org, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

47Weak
How it's scored
37.5/80Monthly downloads — 648 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmicropython-stubber
dependents—
ecosystemspypi
total_downloads—
monthly_downloads648
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?

60Moderate · 23% of overall

Maintainer resilience (bus factor)

30At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.5/22.5Commit distribution — top contributor authored 98% of commits
10.8/13.5Contributor breadth — 8 contributors
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled8
top_contributor_share0.979

Issue & PR responsiveness

63Moderate
How it's scored
40.8/42Issue resolution — 97% of issues closed
14/30PR acceptance — 247/528 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/16 approved changesets -- score normalized to 0
Inputs used
merged_prs247
open_issues6
closed_issues203
prs_merged_7d2
prs_decided_7d2
prs_merged_30d2
prs_decided_30d2
issue_closed_ratio0.971
closed_unmerged_prs281
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.

Ownership & stewardship

61Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
13.5/25Owner reach — 75 followers of Josverl
25/25Track record — 252 public repos, account ~15 yr old
Inputs used
followers75
owner_typeUser
is_verified—
owner_loginJosverl
public_repos252
account_age_days5,528
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 34 days ago
20/20Version history — 109 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmicropython-stubber
ecosystemspypi
any_deprecatedno
min_days_since_publish34

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 6 out of 6 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://micropython-stubber.readthedocs.io
10/10Repository description
10/10Topics — 12 topics
0/10Wiki
Inputs used
topicsmicropython-stubs, micropython-stubber, firmware-stubs, python, micropython, static-typing, pyright, pylance, vscode, mypy, mypy-stubs, typed
has_wikino
homepagehttps://micropython-stubber.readthedocs.io
docs_sitehttps://micropython-stubber.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

56Moderate · 16% of overall

Security posture

48Weak
How it's scored
0/7.5Binary-Artifacts — binaries present in source code
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 6 out of 6 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 0/16 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 4 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
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
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
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
4.5/7.5Vulnerabilities — 4 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.8
Excluded from scoring (no data or not applicable): Branch-Protection. Remaining weights renormalized.

Dependency advisories

89Excellent
How it's scored
26.6/35Direct dependencies free of known advisories — 1 affected: diskcache 5.6.3 (moderate)
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
37.2/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 234 days ago
Inputs used
sourceosv
advisories2
affected_packages1
assessed_packages88
unassessed_packages0
affected_by_severitymoderate 1
direct_affected_packages1
Matched the pypi:micropython-stubber@1.29.0 runtime dependency closure — what installing the published package pulls in — 88 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.

87Excellent · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — .github/copilot-instructions.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 79 of 89 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.888
agent_instruction_files.github/copilot-instructions.md
agent_instruction_max_bytes9,597

Verify loop (build / test / typecheck)

86Excellent
How it's scored
18/18One-command bootstrap — docs/Makefile, justfile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/stubber/board/pyrightconfig.json, tests/pyrightconfig.json
10/10Reproducible environment — devcontainer, Dockerfile, lockfile
6/10Demonstrated agent practice — 3 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 4 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
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile, justfile
has_devcontaineryes
has_linter_configyes
typecheck_configssrc/stubber/board/pyrightconfig.json, tests/pyrightconfig.json
agent_commit_share0.03
toolchain_manifests—
dependency_bot_commit_share0.04

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/stubber/board/pyrightconfig.json, tests/pyrightconfig.json)
54.2/55Manageable file sizes — 9/608 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes224,722
source_files_sampled608
oversized_source_files9

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — notebooks
Inputs used
example_dirsnotebooks
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

255GitHub stars
8contributors
215commits, last 12 months
0days since last push
34releases
1bus factor
6open issues
npm, 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 ★ / 15 ⇿
0Stars
15Forks
29Releases

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.

03581013151512019-062022-082025-11
Major 0Minor 9Patch 18

Each point covers 6 days.

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 · 2026-10-04 08:24 UTC

0Binary-Artifactsbinaries present in source code
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-Tests6 out of 6 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 0/16 approved changesets -- score normalized to 0
10Contributorsproject has 4 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 5 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
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
6Vulnerabilities4 existing vulnerabilities detected
Direct dependencies 31
RegistryPackageVersion constraintManifest
npmplaywright^1.62.0package.json
PyPImpflash==1.29.0pyproject.toml
PyPImpy-cross>=1.29.0pyproject.toml
PyPImpremote==1.29.0pyproject.toml
PyPIlibcst>=1.1.0,<2.0.0pyproject.toml
PyPIautoflake>=1.7,<3.0pyproject.toml
PyPImypy>=1.10pyproject.toml
PyPIruff>=0.12.11,<0.13.0pyproject.toml
PyPIpyright>=1.1.341pyproject.toml
PyPIpython-minifier>=2.7.0,<3.0.0pyproject.toml
PyPIrequests>=2.32.3,<3.0.0pyproject.toml
PyPIgreenlet>=3.2.4,<3.2.5pyproject.toml
PyPIcachetools>=5.3.0,<6.0.0pyproject.toml
PyPIdiskcache>=5.6.0,<6.0.0pyproject.toml
PyPIclick>=8.1.3,<9.0.0pyproject.toml
PyPIexecuting>=2.0.1,<3.0.0pyproject.toml
PyPIimportlib-metadata>=1,<9pyproject.toml
PyPIkeyring>=25.0.0,<26.0.0pyproject.toml
PyPIloguru>=0.6,<0.8pyproject.toml
PyPImypy-gitlab-code-quality>=1.1.0,<2.0.0pyproject.toml
PyPIpackaging>=24.2,<25.0.0pyproject.toml
PyPIpygithub>=2.1.1,<3.0.0pyproject.toml
PyPIpyserial>=3.5pyproject.toml
PyPIpypi-simple>=1.0.0,<2.0.0pyproject.toml
PyPIrich-click>=1.8.3,<2.0.0pyproject.toml
PyPItenacity>=9.0.0,<10.0.0pyproject.toml
PyPItomli>=2.0.1,<3.0.0pyproject.toml
PyPItomli-w>=1.0.0,<2.0.0pyproject.toml
PyPItyped-config>=1.3.0,<2.0.0pyproject.toml
PyPIurllib3>=2.2.2,<3.0.0pyproject.toml
PyPIpydeps==3.0.1pyproject.toml
All dependencies 162

Full resolved dependency set from the GitHub dependency graph: 31 direct and 131 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIautoflake2.4.0direct
PyPIcachetools5.5.2direct
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PyPIdiskcache5.6.3direct
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PyPIgreenlet3.2.4direct
PyPIimportlib-metadata9.0.1direct
PyPIkeyring25.7.0direct
PyPIlibcst1.9.0direct
PyPIloguru0.7.3direct
PyPImpflash1.29.0direct
PyPImpremote1.29.0direct
PyPImpy-cross1.29.0.post2direct
PyPImypy2.3.1direct
PyPImypy-gitlab-code-quality1.3.0direct
PyPIpackaging24.2direct
PyPIpydeps3.0.1direct
PyPIpygithub2.10.0direct
PyPIpypi-simple1.8.0direct
PyPIpyright1.1.411direct
PyPIpyserial3.5direct
PyPIpython-minifier2.11.3direct
PyPIrequests2.34.2direct
PyPIrich-click1.9.8direct
PyPIruff0.12.12direct
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PyPItyped-config1.5.0direct
PyPIurllib32.8.0direct
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PyPIannotated-types0.8.0indirect
PyPIappnope1.0.0indirect
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PyPIblkinfo0.2.0indirect
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PyPIpytest-mock3.15.1indirect
PyPIpytest-playwright—indirect
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PyPIzipp4.1.0indirect
Dependency advisories 1

Installing pypi:micropython-stubber@1.29.0 pulls in 88 packages, direct and transitive: 1 carry known advisories, of which 1 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
diskcache5.6.3directmoderate2—

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

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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.