Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 09:25 UTC

BoboTiG / python-mss

An ultra fast cross-platform multiple screenshots module in pure Python using ctypes.

PythonMIT★ 1,281 stars⑂ 116 forkssince Jul 2013View on GitHub ↗
KindLibraryCommand-line toolDesktop applicationhow this is determined

BoboTiG/python-mss holds a health index of 92 out of 100, placing it in the Excellent band. It scores highest on Vitality (87/100) and lowest on Security (66/100). It was last updated 4 days ago. A single contributor accounts for most of its recent work.

92
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.

92
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 78 is calibrated to 92 on the published index scale (record calibration 2026-08-02).

Ownership

Mickaël SchoentgenPersonal account
258 followers75 public repossince Jul 2012@reader-dict

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

Package ecosystems

Metrics by category

Vitality

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

87Excellent · 21% of overall
How it's scored
36/36Push recency — last push 4 days ago
31.8/36Commit cadence — 46/52 weeks with commits
18/18Commit volume — 164 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year164
human_commit_share0.42
days_since_last_push4
active_weeks_last_year46
How it's scored
27/27Ships releases — 44 releases published
27/36Release recency — latest release 141 days ago
12.6/27Release cadence — a release every ~123.3 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count44
latest_release_tagv10.2.0
releases_from_tagsno
days_since_latest_release141
mean_days_between_releases123.3
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?

82Excellent · 17% of overall
How it's scored
50.4/60Stars — 1,281 stars
17.2/25Forks — 116 forks
5.8/15Watchers — 12 watchers
Inputs used
forks116
stars1,281
watchers12
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

80Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
13.5/13.5Code of conduct
7.2/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingno
has_issue_templateyes
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, github.com, shields.io
has_pull_request_templateyes
How it's scored
80/80Monthly downloads — 3,063,085 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmss
dependents—
ecosystemspypi
total_downloads—
monthly_downloads3,063,085
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?

69Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
4.3/22.5Commit distribution — top contributor authored 81% of commits
13.5/13.5Contributor breadth — 26 contributors
10/10OpenSSF Scorecard: Contributors — project has 40 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled26
top_contributor_share0.808
How it's scored
32.1/42Issue resolution — 76% of issues closed
26.6/30PR acceptance — 362/409 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs362
open_issues41
closed_issues133
prs_merged_7d1
prs_decided_7d1
prs_merged_30d5
prs_decided_30d6
issue_closed_ratio0.764
closed_unmerged_prs47
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
17.4/25Owner reach — 258 followers of BoboTiG
25/25Track record — 75 public repos, account ~14 yr old
Inputs used
followers258
owner_typeUser
is_verified—
owner_loginBoboTiG
public_repos75
account_age_days5,162
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 141 days ago
20/20Version history — 44 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmss
ecosystemspypi
any_deprecatedno
min_days_since_publish141

Engineering Quality

Are baseline engineering and documentation practices in place?

85Excellent · 19% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
18/20OpenSSF Scorecard: CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9
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://python-mss.readthedocs.io
10/10Repository description
10/10Topics — 13 topics
0/10Wiki
Inputs used
topicspython, screenshot, ctypes, python-library, mss, monitor, cli, efficiency, gnu-linux, macos, windows, cross-platform, python-mss
has_wikino
homepagehttps://python-mss.readthedocs.io
docs_sitehttps://python-mss.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

66Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.2/2.5CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 40 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
7.5/7.5Maintained — 30 commit(s) and 1 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
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 — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 26 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.8
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 advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories51
affected_packages5
assessed_packages74
unassessed_packages0
affected_by_severitycritical 1, high 2, moderate 2
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 74 resolved dependencies against OSV. 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.

78Good · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 42 of 42 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes1,521
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — src/mss/py.typed
10/10Reproducible environment — devcontainer, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 58 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_dockerfileno
typed_languageno
bootstrap_files—
has_devcontaineryes
has_linter_configyes
typecheck_configssrc/mss/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.58
How it's scored
27/45Type-checkable code — Python with type-check config (src/mss/py.typed)
55/55Manageable file sizes — 0/66 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes45,812
source_files_sampled66
oversized_source_files0
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 — demos, examples
Inputs used
example_dirsdemos, examples
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

1,281GitHub stars
26contributors
164commits, last 12 months
4days since last push
44releases
1bus factor
41open 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 ★ / 116 ⇿
0Stars
116Forks
44Releases

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.

02040608010012011432015-042020-122026-09
Major 9Minor 7Patch 28

Each point covers 11 days.

OpenSSF Scorecard 5.8 / 10
5.8aggregate

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 · 2026-09-12 09:24 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
9CI-Tests29 out of 30 merged PRs checked by a CI test -- score normalized to 9
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 40 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 1 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
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities26 existing vulnerabilities detected
All dependencies 74

Full resolved dependency set from the GitHub dependency graph: 0 direct and 74 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIalabaster1.0.0indirect
PyPIbabel2.18.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbuild1.4.3indirect
PyPIcertifi2026.2.25indirect
PyPIcffi2.0.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.13.5indirect
PyPIcryptography46.0.7indirect
PyPIdocutils0.22.4indirect
PyPIexceptiongroup1.3.1indirect
PyPIid1.6.1indirect
PyPIidna3.12indirect
PyPIimagesize2.0.0indirect
PyPIimportlib-metadata9.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.4.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIkeyring25.7.0indirect
PyPIlibrt0.9.0indirect
PyPIlxml6.1.0indirect
PyPImarkdown-it-py4.0.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdit-py-plugins0.5.0indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.0.2indirect
PyPImypy1.19.1indirect
PyPImypy-extensions1.1.0indirect
PyPImyst-parser5.0.0indirect
PyPInh30.3.4indirect
PyPInumpy2.4.3indirect
PyPIpackaging26.1indirect
PyPIpathspec1.0.4indirect
PyPIpillow12.1.1indirect
PyPIpluggy1.6.0indirect
PyPIpycparser3.0indirect
PyPIpygments2.20.0indirect
PyPIpygments-styles0.3.0indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest9.0.2indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-rerunfailures16.1indirect
PyPIpyvirtualdisplay3.0indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIreadme-renderer44.0indirect
PyPIrequests2.33.1indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc39862.0.0indirect
PyPIrich15.0.0indirect
PyPIroman-numerals4.1.0indirect
PyPIruff0.15.11indirect
PyPIsecretstorage3.5.0indirect
PyPIshibuya2026.1.9indirect
PyPIsnowballstemmer3.0.1indirect
PyPIsphinx9.1.0indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinx-new-tab-link0.8.1indirect
PyPIsphinxcontrib-applehelp2.0.0indirect
PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-extdevhelper-kasane0.2.1indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPItomli2.4.1indirect
PyPItwine6.2.0indirect
PyPItyping-extensions4.15.0indirect
PyPIurllib32.6.3indirect
PyPIzipp3.23.1indirect
Dependency advisories 5

This repository publishes no package the index resolves, so its own dependency graph was assessed — 74 packages, which also include development and test pins that never ship: 5 carry known advisories, of which 0 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
pillow12.1.1indirectcritical3612.3.0
cryptography46.0.7indirecthigh750.0.0
urllib32.6.3indirecthigh42.7.0
idna3.12indirectmoderate23.15
pytest9.0.2indirectmoderate29.0.3

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.