Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-10 23:45 UTC

Catch-up-TV-and-More / plugin.video.catchuptvandmore

Replay, Live TV and websites videos addon for Kodi

PythonGPL-2.0★ 336 stars⑂ 106 forkssince Feb 2017View on GitHub ↗

Catch-up-TV-and-More/plugin.video.catchuptvandmore holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Vitality (87/100) and lowest on AI Readiness (29/100). It was last updated today. 2 contributors account for most of its recent work.

77
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.

77
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 66 is calibrated to 77 on the published index scale (record calibration 2026-08-02).

Ownership

Catch-up TV & MoreOrganization
67 followers12 public repossince Oct 2017

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

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 0 days ago
29.8/36Commit cadence — 43/52 weeks with commits
18/18Commit volume — 219 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year219
human_commit_share0.94
days_since_last_push0
active_weeks_last_year43
How it's scored
27/27Ships releases — 61 releases published
36/36Release recency — latest release 36 days ago
12.6/27Release cadence — a release every ~218.9 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count61
latest_release_tagv0.2.42
releases_from_tagsno
days_since_latest_release36
mean_days_between_releases218.9

Community & Adoption

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

65Good · 17% of overall
How it's scored
41/60Stars — 336 stars
16.8/25Forks — 106 forks
7/15Watchers — 19 watchers
Inputs used
forks106
stars336
watchers19
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (GPL-2.0)
0/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges1
has_contributingno
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

68Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.1/22.5Commit distribution — top contributor authored 46% of commits
13.5/13.5Contributor breadth — 53 contributors
10/10OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled53
top_contributor_share0.462
How it's scored
38.3/42Issue resolution — 91% of issues closed
24.6/30PR acceptance — 591/722 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
6/15OpenSSF Scorecard: Code-Review — Found 9/21 approved changesets -- score normalized to 4
Inputs used
merged_prs591
open_issues92
closed_issues951
prs_merged_7d4
prs_decided_7d4
prs_merged_30d6
prs_decided_30d6
issue_closed_ratio0.912
closed_unmerged_prs131
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
13.2/25Owner reach — 67 followers of Catch-up-TV-and-More
20.1/25Track record — 12 public repos, account ~8 yr old
Inputs used
followers67
owner_typeOrganization
is_verifiedno
owner_loginCatch-up-TV-and-More
public_repos12
account_age_days3,239

Engineering Quality

Are baseline engineering and documentation practices in place?

60Moderate · 19% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
0/24Tests present
16/16Linter config — .pylintrc, setup.cfg ([flake8])
0/9.6Pre-commit hooks
0/6.4.editorconfig
10/20OpenSSF Scorecard: CI-Tests — 6 out of 12 merged PRs checked by a CI test -- score normalized to 5
Inputs used
has_ciyes
has_testsno
has_editorconfigno
has_linter_configyes
has_precommit_configno
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://catch-up-tv-and-more.github.io
10/10Repository description
10/10Topics — 12 topics
10/10Wiki
Inputs used
topicskodi, addon, video, replay, catch-up, tv, tv-shows, france, xbmc, kodi-media-center, extension, plugin
has_wikiyes
homepagehttps://catch-up-tv-and-more.github.io
docs_sitehttps://catch-up-tv-and-more.github.io
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

51Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
1.2/2.5CI-Tests — 6 out of 12 merged PRs checked by a CI test -- score normalized to 5
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
3/7.5Code-Review — Found 9/21 approved changesets -- score normalized to 4
2.5/2.5Contributors — project has 13 contributing companies or organizations
0/10Dangerous-Workflow — no data
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 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — no data
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — no data
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated14
scorecard_versionv5.5.0
checks_inconclusive4
scorecard_aggregate5.1
Excluded from scoring (no data or not applicable): Dangerous-Workflow, Packaging, Pinned-Dependencies, Token-Permissions. 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.

29At Risk · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0.6/40Legible commit history — 1 of 94 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.011
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — Makefile
0/22Automated tests
11/11Lint / format config — .pylintrc, setup.cfg ([flake8])
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 6 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsno
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.06
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.
How it's scored
0/45Type-checkable code — Python without a type-check config
54.8/55Manageable file sizes — 1/359 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes146,619
source_files_sampled359
oversized_source_files1

Key facts

336GitHub stars
53contributors
219commits, last 12 months
0days since last push
61releases
2bus factor
92open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • No resolved dependencies carried a version and a supported ecosystem

More detail

Star and fork history 0 ★ / 106 ⇿
0Stars
106Forks
52Releases

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.

02040608010012010452018-022022-052026-08
Major 0Minor 1Patch 50

Each point covers 8 days.

OpenSSF Scorecard 5.1 / 10
5.1aggregate

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 · 2026-09-10 23:45 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
5CI-Tests6 out of 12 merged PRs checked by a CI test -- score normalized to 5
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
4Code-ReviewFound 9/21 approved changesets -- score normalized to 4
10Contributorsproject has 13 contributing companies or organizations
n/aDangerous-Workflowno workflows found
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
n/aPinned-Dependenciesno dependencies found
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
n/aToken-PermissionsNo tokens found
10Vulnerabilities0 existing vulnerabilities detected
All dependencies 15

Full resolved dependency set from the GitHub dependency graph: 0 direct and 15 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcoverage—indirect
PyPIfuture—indirect
PyPIinputstreamhelper—indirect
PyPIkodi-addon-checker—indirect
PyPIpolib—indirect
PyPIpylint—indirect
PyPIpyqrcode—indirect
PyPIpytest—indirect
PyPIpytz—indirect
PyPIrequests—indirect
PyPIsakee—indirect
PyPIsetuptools—indirect
PyPIsix—indirect
PyPItzlocal—indirect
PyPIurlquick—indirect
Dependency advisories not assessed

Advisory matching could not run for this report: No resolved dependencies carried a version and a supported ecosystem

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.