Public recordModerate
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-26 00:13 UTC
T-Dynamos / materialyoucolor-python
Material You color generation algorithms in python.
T-Dynamos/materialyoucolor-python holds a health index of 57 out of 100, placing it in the Moderate band. It scores highest on Vitality (66/100) and lowest on AI Readiness (42/100). It was last updated 10 days ago. A single contributor accounts for most of its recent work.
57
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
57
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
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.
Ownership
Ansh DadwalPersonal account
192 followers46 public repossince Jul 2020
This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish |
|---|---|---|---|---|---|
| PyPI | materialyoucolor | 3.0.3 | - | 17 | 5 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
66
Development activity
54Moderate
How it's scored
| 28.8/36 | Push recency — last push 10 days ago |
| 5.5/36 | Commit cadence — 8/52 weeks with commits |
| 13.5/18 | Commit volume — 31 commits in the last year |
| 6/10 | OpenSSF Scorecard: Maintained — 6 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 6 |
Inputs used
| commits_last_year | 31 |
| human_commit_share | 1 |
| days_since_last_push | 10 |
| active_weeks_last_year | 8 |
Release discipline
83Good
How it's scored
| 27/27 | Ships releases — 16 releases published |
| 36/36 | Release recency — latest release 10 days ago |
| 19.8/27 | Release cadence — a release every ~101.1 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Inputs used
| releases_count | 16 |
| latest_release_tag | v3.0.3 |
| releases_from_tags | no |
| days_since_latest_release | 10 |
| mean_days_between_releases | 101.1 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
45
Popularity & adoption
41At risk
How it's scored
| 30.4/60 | Stars — 76 stars |
| 7/25 | Forks — 8 forks |
| 3.3/15 | Watchers — 5 watchers |
Inputs used
| forks | 8 |
| stars | 76 |
| watchers | 5 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
50Moderate
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (MIT) |
| 0/18 | CONTRIBUTING guide |
| 0/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 0/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| has_pull_request_template | no |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
63
Maintainer resilience (bus factor)
23Critical
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 1.2/22.5 | Commit distribution — top contributor authored 95% of commits |
| 6.8/13.5 | Contributor breadth — 5 contributors |
| 6/10 | OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 5 |
| top_contributor_share | 0.947 |
How it's scored
| 42.5/46.8 | Issue resolution — 91% of issues closed |
| 38.2/38.3 | PR acceptance — 7/7 decided PRs merged |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 2/21 approved changesets -- score normalized to 0 |
Inputs used
| merged_prs | 7 |
| open_issues | 2 |
| closed_issues | 20 |
| issue_closed_ratio | 0.909 |
| closed_unmerged_prs | 0 |
Ownership & stewardship
63Moderate
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 16.4/25 | Owner reach — 192 followers of T-Dynamos |
| 24.2/25 | Track record — 46 public repos, account ~6 yr old |
Inputs used
| followers | 192 |
| owner_type | User |
| is_verified | — |
| owner_login | T-Dynamos |
| public_repos | 46 |
| account_age_days | 2,192 |
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
Package maintenance
100Excellent
How it's scored
| 25/25 | Published & resolvable — 1 package(s) on pypi |
| 35/35 | Publish recency — latest publish 5 days ago |
| 20/20 | Version history — 17 published versions |
| 20/20 | Not deprecated — active, not deprecated or yanked |
Inputs used
| packages | materialyoucolor |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 5 |
Engineering Quality
Are baseline engineering and documentation practices in place?
57
Engineering practices
62Moderate
How it's scored
| 24/24 | CI workflows — 1 workflow(s) |
| 24/24 | Tests present |
| 0/16 | Linter config |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 14/20 | OpenSSF Scorecard: CI-Tests — 3 out of 4 merged PRs checked by a CI test -- score normalized to 7 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Documentation
50Moderate
How it's scored
| 30/30 | README |
| 0/25 | Documentation directory |
| 0/15 | Documentation / homepage site |
| 10/10 | Repository description |
| 10/10 | Topics — 11 topics |
| 0/10 | Wiki |
Inputs used
| topics | dynamic-color, dynamic-theme, dynamic-wallpaper, kivy, kivymd, material-you, python, color, color-palette, color-scheme, palette |
| has_wiki | no |
| homepage | — |
| has_readme | yes |
| has_docs_dir | no |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
50
Security posture
38At risk
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 1.8/2.5 | CI-Tests — 3 out of 4 merged PRs checked by a CI test -- score normalized to 7 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 2/21 approved changesets -- score normalized to 0 |
| 1.5/2.5 | Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 4.5/7.5 | Maintained — 6 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 6 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 18 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 0 |
| scorecard_aggregate | 3.8 |
Dependency advisories
100Excellent
How it's scored
| 35/35 | Direct dependencies free of known advisories — no direct dependency carries a known advisory |
| 25/25 | Indirect dependencies free of known advisories — no indirect dependency carries a known advisory |
| 0/40 | No advisories left outstanding — no advisory carries a publication date |
Inputs used
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 1 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:materialyoucolor@3.0.3 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? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.
42
Agent context & guidance
26Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 25.5/40 | Legible commit history — 45 of 94 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.479 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
How it's scored
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 0/11 | Lint / format config |
| 11/11 | Static type checking — C++ (statically typed) |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no agent-authored commits among the last 94 |
| 0/8 | Automated maintenance — no automated dependency updates observed |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | no |
| typed_language | yes |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Code legibility for models
99Excellent
How it's scored
| 45/45 | Type-checkable code — C++ (statically typed) |
| 54.1/55 | Manageable file sizes — 1/62 source files over 60KB |
Inputs used
| primary_language | C++ |
| largest_source_bytes | 282,848 |
| source_files_sampled | 62 |
| oversized_source_files | 1 |
Key facts
76GitHub stars
5contributors
31commits, last 12 months
10days since last push
16releases
1bus factor
2open 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 ★ / 8 ⇿
0Stars
8Forks
7Releases
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.
Major 0Minor 0Patch 7
Each point covers 3 days.
OpenSSF Scorecard 3.8 / 10
3.8aggregate
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 7 | CI-Tests | 3 out of 4 merged PRs checked by a CI test -- score normalized to 7 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 2/21 approved changesets -- score normalized to 0 |
| 6 | Contributors | project has 2 contributing companies or organizations -- score normalized to 6 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 6 | Maintained | 6 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 6 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
All dependencies 4
Full resolved dependency set from the GitHub dependency graph: 0 direct and 4 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | pillow | — | indirect |
| PyPI | psutil | — | indirect |
| PyPI | pybind11 | — | indirect |
| PyPI | rich | — | indirect |
Dependency advisories 0
Installing pypi:materialyoucolor@3.0.3 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
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{
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{
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{
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{
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{
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"points": 24.2,
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{
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{
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"notes": [],
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{
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{
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{
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],
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},
{
"key": "engineering",
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{
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{
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]
},
{
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"notes": [],
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"inputs": {
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}
],
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{
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{
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"status": "partial",
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{
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"details": [],
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},
{
"key": "dependency_update_tool",
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"points": 0,
"status": "missed",
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{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
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"status": "missed",
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{
"key": "license",
"name": "License",
"detail": "license file detected",
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{
"key": "maintained",
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"points": 4.5,
"status": "partial",
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{
"key": "packaging",
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{
"key": "pinned_dependencies",
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"status": "missed",
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{
"key": "sast",
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"status": "missed",
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{
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{
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"status": "missed",
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{
"key": "token_permissions",
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"status": "missed",
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{
"key": "vulnerabilities",
"name": "Vulnerabilities",
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"points": 7.5,
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"max_points": 7.5
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]
},
{
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"notes": [
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{
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{
"code": "advisories_scope_published",
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},
{
"code": "advisories_reachability",
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"inputs": {
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"unassessed_packages": 0,
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"components": [
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"max_points": 35
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{
"key": "indirect_dependencies_free_of_known_advisories",
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{
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]
},
{
"key": "malicious_dependencies",
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"note": null,
"notes": [],
"value": 100,
"inputs": {
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"components": [
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"max_points": 100
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]
},
{
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"notes": [
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"code": "jurisdiction_evidence_limits",
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],
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"inputs": {
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"policy_countries": [
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"review_only_matches": 0,
"assessed_self_published_locations": 7
},
"components": [
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"key": "policy_exposure_multiplier",
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"detail": "no confirmed policy-scope location match",
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"status": "met",
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"code": "jurisdiction_no_match",
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}
],
"max_points": 100
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]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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{
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"name": "AI Readiness",
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"weight": 0,
"metrics": [
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"key": "ai_agent_context",
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"notes": [],
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"inputs": {
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"components": [
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],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
],
"report_type": "repository",
"generated_at": "2026-07-26T00:13:10.356151Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/t/T-Dynamos/materialyoucolor-python.svg",
"full_name": "T-Dynamos/materialyoucolor-python",
"license_state": "standard",
"license_spdx": "MIT"
}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 v1.13.0, schema v0.27.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.