Public record
Software health reportschema 0.30.0 · metrics 2.10.0 · 2026-08-04 15:30 UTC

Breakthrough / PySceneDetect

:movie_camera: Python and OpenCV-based scene cut/transition detection program & library.

PythonBSD-3-Clause★ 5,066 stars⑂ 506 forkssince Jun 2014View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

Breakthrough/PySceneDetect holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Vitality (75/100) and lowest on AI Readiness (37/100). It was last updated 12 days ago. A single contributor accounts for most of its recent work.

78
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.

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

Ownership

Brandon CastellanoPersonal account
367 followers27 public repossince Sep 2009Google

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
PyPIscenedetect-core0.7.1388213 days agovideocomputer-visionanalysis

Metrics by category

Vitality

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

75Good · 21% of overall
How it's scored
28.8/36Push recencylast push 12 days ago
17.3/36Commit cadence25/52 weeks with commits
18/18Commit volume165 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year165
human_commit_share1
days_since_last_push12
active_weeks_last_year25
How it's scored
27/27Ships releases38 releases published
36/36Release recencylatest release 13 days ago
12.6/27Release cadencea release every ~168.2 days
0/10OpenSSF Scorecard: Signed-ReleasesProject has not signed or included provenance with any releases.
Inputs used
releases_count38
latest_release_tagv0.7.1
releases_from_tagsno
days_since_latest_release13
mean_days_between_releases168.2

Community & Adoption

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

65Good · 17% of overall
How it's scored
60/60Stars5,066 stars
22.5/25Forks506 forks
10.2/15Watchers68 watchers
Inputs used
forks506
stars5,066
watchers68
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (BSD-3-Clause)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno
How it's scored
34.5/80Monthly downloads388 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesscenedetect-core
dependents
ecosystemspypi
total_downloads
monthly_downloads388
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?

59Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
1.6/22.5Commit distributiontop contributor authored 93% of commits
13.5/13.5Contributor breadth35 contributors
10/10OpenSSF Scorecard: Contributorsproject has 5 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled35
top_contributor_share0.927
How it's scored
35.2/42Issue resolution84% of issues closed
25.3/30PR acceptance92/109 decided PRs merged
9.8/13Newcomer PR acceptance3/4 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-ReviewFound 3/28 approved changesets -- score normalized to 1
Inputs used
merged_prs92
open_issues63
closed_issues326
prs_merged_7d0
prs_decided_7d1
prs_merged_30d4
prs_decided_30d5
issue_closed_ratio0.838
closed_unmerged_prs17
first_time_authors_30d4
first_time_prs_merged_30d3
first_time_prs_decided_30d4
How it's scored
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
18.4/25Owner reach367 followers of Breakthrough
22.5/25Track record27 public repos, account ~16 yr old
Inputs used
followers367
owner_typeUser
is_verified
owner_loginBreakthrough
public_repos27
account_age_days6,172
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 13 days ago
12/20Version history2 published versions
0/20Not deprecatedscenedetect-core: deprecated/yanked on the registry
Inputs used
packagesscenedetect-core
ecosystemspypi
any_deprecatedyes
min_days_since_publish13

Engineering Quality

Are baseline engineering and documentation practices in place?

75Good · 19% of overall
How it's scored
24/24CI workflows13 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
10/20OpenSSF Scorecard: CI-Tests2 out of 4 merged PRs checked by a CI test -- score normalized to 5
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://www.scenedetect.com/
10/10Repository description
10/10Topics9 topics
10/10Wiki
Inputs used
topicspython, video, opencv, python-opencv, analysis, scene-detection, image-processing, video-processing, scene-recognition
has_wikiyes
homepagehttps://www.scenedetect.com/
docs_sitehttps://www.scenedetect.com/
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
6.8/7.5Binary-Artifactsbinaries present in source code
5.2/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
1.2/2.5CI-Tests2 out of 4 merged PRs checked by a CI test -- score normalized to 5
0.5/2.5CII-Best-Practicesbadge detected: InProgress
0.8/7.5Code-ReviewFound 3/28 approved changesets -- score normalized to 1
2.5/2.5Contributorsproject has 5 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 7 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
4/5SASTSAST tool detected but not run on all commits
0/5Security-Policysecurity policy file not detected
0/7.5Signed-ReleasesProject has not signed or included provenance with any releases.
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.8

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages1
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:scenedetect-core@0.7.1 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? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

37Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
7.5/40Legible commit history14 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.14
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrapdocs/Makefile
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environmentDockerfile
2/10Demonstrated agent practice1 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileyes
typed_languageno
bootstrap_filesdocs/Makefile
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0.01
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
54.3/55Manageable file sizes1/82 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes63,849
source_files_sampled82
oversized_source_files1

Key facts

5,066GitHub stars
35contributors
165commits, last 12 months
12days since last push
38releases
1bus factor
63open 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 ★ / 506 ⇿
0Stars
506Forks
34Releases

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.

010020030040050049862015-072021-012026-07
Major 0Minor 0Patch 11

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 · 2026-08-04 15:30 UTC

9Binary-Artifactsbinaries present in source code
7Branch-Protectionbranch protection is not maximal on development and all release branches
5CI-Tests2 out of 4 merged PRs checked by a CI test -- score normalized to 5
2CII-Best-Practicesbadge detected: InProgress
1Code-ReviewFound 3/28 approved changesets -- score normalized to 1
10Contributorsproject has 5 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 7 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
8SASTSAST tool detected but not 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
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPInumpypyproject.toml
All dependencies 18

Full resolved dependency set from the GitHub dependency graph: 1 direct and 17 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPInumpy2.5.1direct
PyPIavindirect
PyPIav18.0.0indirect
PyPIclickindirect
PyPIclick8.4.2indirect
PyPIimageio-ffmpeg0.6.0indirect
PyPIjinja2indirect
PyPImkdocs1.5.2indirect
PyPImoviepy2.2.1indirect
PyPIopencv-python-headless5.0.0.93indirect
PyPIplatformdirs4.11.0indirect
PyPIpyinstallerindirect
PyPIpytestindirect
PyPIpytest-rerunfailuresindirect
PyPIsetuptoolsindirect
PyPIsphinx7.0.1indirect
PyPIsphinx-copybutton0.5.2indirect
PyPItqdm4.69.0indirect
Dependency advisories 0

Installing pypi:scenedetect-core@0.7.1 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

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 v0.30.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.