Public recordAt Risk
Software health reportschema 0.27.0 · metrics 2.5.0 · 2026-07-31 02:57 UTC
matham / ffpyplayer
A cython implementation of an ffmpeg based player.
matham/ffpyplayer holds a health index of 25 out of 100, placing it in the At Risk band. It scores highest on Engineering Quality (63/100) and lowest on Vitality (19/100). It was last updated 382 days ago. A single contributor accounts for most of its recent work.
25
overall / 100Software 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.
25
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)
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 45 is calibrated to 42 on the published index scale (record calibration 2026-08-02).
Ownership
Matt EinhornPersonal account
101 followers136 public repossince Apr 2012Cornell University
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 | ffpyplayerpoints to another repo — not scored | 4.5.3 | 30,693 | 15 | 414 days ago |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
19
Development activity
1Critical
Abandonment alert
Work has arrived and nobody has attended to it
no human commit in 387 daysautomated commits excludedpull requests left unansweredissues left unansweredOpenSSF Scorecard reports it unmaintainedcontinuous integration brokenOverall rating: At Risk ceiling
Silence alone is never the finding — a small, finished library may need no commits for years. This alert requires both: no human commit for a long time, and obligations the project is visibly not discharging. Automated commits do not count as maintenance.
How abandonment is assessedHow it's scored
| 0/36 | Push recency — last push 382 days ago |
| 0/36 | Commit cadence — 0/52 weeks with commits |
| 0/18 | Commit volume — 0 commits in the last year |
| 0/10 | OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
Inputs used
| commits_last_year | 0 |
| human_commit_share | 1 |
| days_since_last_push | 382 |
| active_weeks_last_year | 0 |
Release discipline
47Weak
How it's scored
| 27/27 | Ships releases — 16 releases published |
| 7.2/36 | Release recency — latest release 415 days ago |
| 12.6/27 | Release cadence — a release every ~214.6 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 | v4.5.3 |
| releases_from_tags | no |
| days_since_latest_release | 415 |
| mean_days_between_releases | 214.6 |
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
53
Popularity & adoption
55Moderate
How it's scored
| 35/60 | Stars — 145 stars |
| 13.4/25 | Forks — 42 forks |
| 6.4/15 | Watchers — 15 watchers |
Inputs used
| forks | 42 |
| stars | 145 |
| watchers | 15 |
| 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 (LGPL-3.0) |
| 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 |
| readme_badges | — |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| readme_badge_services | — |
| has_pull_request_template | no |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
54
Maintainer resilience (bus factor)
34At Risk
How it's scored
| 9/54 | Bus factor — 1 contributor(s) cover half of all commits |
| 1.5/22.5 | Commit distribution — top contributor authored 93% of commits |
| 13.5/13.5 | Contributor breadth — 14 contributors |
| 10/10 | OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations |
Inputs used
| bus_factor | 1 |
| contributors_sampled | 14 |
| top_contributor_share | 0.934 |
How it's scored
| 28.1/42 | Issue resolution — 67% of issues closed |
| 26.1/30 | PR acceptance — 53/61 decided PRs merged |
| 0/13 | Newcomer PR acceptance — no first-time contributor's PR decided in 30d |
| 7.5/15 | OpenSSF Scorecard: Code-Review — Found 11/21 approved changesets -- score normalized to 5 |
Inputs used
| merged_prs | 53 |
| open_issues | 42 |
| closed_issues | 85 |
| prs_merged_7d | — |
| prs_decided_7d | — |
| prs_merged_30d | — |
| prs_decided_30d | — |
| issue_closed_ratio | 0.669 |
| closed_unmerged_prs | 8 |
| first_time_authors_30d | — |
| first_time_prs_merged_30d | — |
| first_time_prs_decided_30d | — |
Excluded from scoring (no data or not applicable): newcomer_pr_acceptance. Remaining weights renormalized.
Ownership & stewardship
62Moderate
How it's scored
| 10/30 | Ownership backing — personal (user) account |
| 0/20 | Verified domain — not applicable to user accounts |
| 14.4/25 | Owner reach — 101 followers of matham |
| 25/25 | Track record — 136 public repos, account ~14 yr old |
Inputs used
| followers | 101 |
| owner_type | User |
| is_verified | — |
| owner_login | matham |
| public_repos | 136 |
| account_age_days | 5,220 |
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
Engineering Quality
Are baseline engineering and documentation practices in place?
63
Engineering practices
48Weak
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 |
| 0/20 | OpenSSF Scorecard: CI-Tests — 0 out of 13 merged PRs checked by a CI test -- score normalized to 0 |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Documentation
85Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 0/15 | Documentation / homepage site |
| 10/10 | Repository description |
| 10/10 | Topics — 3 topics |
| 10/10 | Wiki |
Inputs used
| topics | python, ffmpeg, video-player |
| has_wiki | yes |
| homepage | — |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
37
Security posture
37Weak
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — no data |
| 0/2.5 | CI-Tests — 0 out of 13 merged PRs checked by a CI test -- score normalized to 0 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 3.8/7.5 | Code-Review — Found 11/21 approved changesets -- score normalized to 5 |
| 2.5/2.5 | Contributors — project has 4 contributing companies or organizations |
| 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 |
| 0/7.5 | Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 0/5 | Packaging — no data |
| 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 | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 3.6 |
Excluded from scoring (no data or not applicable): branch_protection, packaging. Remaining weights renormalized.
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.
35
Agent context & guidance
16Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 16.5/40 | Legible commit history — 31 of 100 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.31 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
How it's scored
| 18/18 | One-command bootstrap — Makefile, doc/Makefile |
| 22/22 | Automated tests |
| 0/11 | Lint / format config |
| 0/11 | Static type checking |
| 0/10 | Reproducible environment |
| 0/10 | Demonstrated agent practice — no agent-authored commits among the last 100 |
| 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 | no |
| bootstrap_files | Makefile, doc/Makefile |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Code legibility for models
55Moderate
How it's scored
| 0/45 | Type-checkable code — Cython without a type-check config |
| 55/55 | Manageable file sizes — 0/12 source files over 60KB |
Inputs used
| primary_language | Cython |
| largest_source_bytes | 14,141 |
| source_files_sampled | 12 |
| oversized_source_files | 0 |
How it's scored
| 0/40 | API schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP server |
| 40/40 | Runnable examples — examples |
Inputs used
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
Key facts
145GitHub stars
14contributors
0commits, last 12 months
382days since last push
16releases
1bus factor
42open issues
PyPIpackage ecosystems
Data collection warnings
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- pypi package 'ffpyplayer' points at a different repository (https://matham.github.io/ffpyplayer/); excluded from ecosystem scoring
More detail
Star and fork history 0 ★ / 42 ⇿
0Stars
42Forks
15Releases
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 1Minor 4Patch 8
Each point covers 10 days.
OpenSSF Scorecard 3.6 / 10
3.6aggregate
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 |
| n/a | Branch-Protection | internal 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 |
| 0 | CI-Tests | 0 out of 13 merged PRs checked by a CI test -- score normalized to 0 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 5 | Code-Review | Found 11/21 approved changesets -- score normalized to 5 |
| 10 | Contributors | project has 4 contributing companies or organizations |
| 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 |
| 0 | Maintained | 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| n/a | Packaging | packaging workflow not 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 0
Full resolved dependency set from the GitHub dependency graph: 0 direct and 0 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|
Dependency advisories not assessed
Advisory matching could not run for this report: No resolved dependencies to assess
Raw JSON report machine-readable
{
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{
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],
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"account_age_days": 5220
},
"components": [
{
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"points": 10,
"status": "partial",
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}
],
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},
{
"key": "verified_domain",
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{
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],
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{
"key": "track_record",
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},
{
"code": "account_age_years",
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}
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],
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},
{
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"value": 63,
"weight": 0.19,
"metrics": [
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"key": "engineering_practices",
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"note": null,
"notes": [],
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{
"key": "tests_present",
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{
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{
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{
"key": "openssf_scorecard_ci_tests",
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]
},
{
"key": "documentation",
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"inputs": {
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{
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{
"key": "documentation_homepage_site",
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},
{
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{
"key": "topics",
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}
],
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{
"key": "wiki",
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}
]
}
],
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},
{
"key": "security",
"band": "weak",
"name": "Security",
"value": 37,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
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"notes": [
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"packaging"
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}
},
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}
],
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"inputs": {
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"scorecard_version": "v5.5.0",
"checks_inconclusive": 2,
"scorecard_aggregate": 3.6
},
"components": [
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"points": 7.5,
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},
{
"key": "branch_protection",
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"detail": "internal 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",
"points": 0,
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],
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},
{
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"points": 0,
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},
{
"key": "cii_best_practices",
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"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
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},
{
"key": "code_review",
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"points": 3.8,
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},
{
"key": "contributors",
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"points": 2.5,
"status": "met",
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},
{
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"points": 10,
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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",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
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"detail": "license file detected",
"points": 2.5,
"status": "met",
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},
{
"key": "maintained",
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"points": 0,
"status": "missed",
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},
{
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"points": 0,
"status": "excluded",
"details": [
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"code": "no_data",
"params": {}
}
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"max_points": 5
},
{
"key": "pinned_dependencies",
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"points": 0,
"status": "missed",
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},
{
"key": "sast",
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"points": 0,
"status": "missed",
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},
{
"key": "security_policy",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "signed_releases",
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"points": 0,
"status": "missed",
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"max_points": 7.5
},
{
"key": "token_permissions",
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"points": 0,
"status": "missed",
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},
{
"key": "vulnerabilities",
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"status": "met",
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}
]
},
{
"key": "high_risk_jurisdiction_exposure",
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"name": "High-Risk Jurisdiction Exposure",
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"notes": [
{
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}
],
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"red_flag": false,
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"commit_weight_rule": {
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},
"components": [
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}
],
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}
]
}
],
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},
{
"key": "ai_readiness",
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"name": "AI Readiness",
"value": 35,
"weight": 0.04,
"metrics": [
{
"key": "ai_agent_context",
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"name": "Agent context & guidance",
"note": null,
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"inputs": {
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},
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"code": "no_agent_instructions",
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}
],
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{
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},
{
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},
{
"key": "ai_verify_loop",
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"code": "file_list",
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{
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{
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{
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},
{
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{
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"code": "no_dependency_automation",
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}
],
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},
{
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]
},
{
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},
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{
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},
{
"key": "manageable_file_sizes",
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]
},
{
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"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
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},
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{
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},
{
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},
{
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"points": 40,
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"code": "file_list",
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]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
}
],
"classification": {
"top": [],
"labels": [],
"scores": {},
"primary": null,
"evidence": [],
"artifacts": [],
"confidence": "none",
"host_extension": false,
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"consumed_by_code": false
},
"metrics_version": "2.5.0"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"pypi package 'ffpyplayer' points at a different repository (https://matham.github.io/ffpyplayer/); excluded from ecosystem scoring"
],
"report_type": "repository",
"generated_at": "2026-07-31T02:57:49.209924Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/matham/ffpyplayer.svg",
"full_name": "matham/ffpyplayer",
"license_state": "standard",
"license_spdx": "LGPL-3.0"
}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 v0.27.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.