Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-07 22:25 UTC

phoenixthrush / AniWorld-Downloader

AniWorld Downloader is a free, open-source app for finding and downloading anime, movies, series, and manga, with video streaming support. Available on Windows, macOS, and Linux, with a Web UI, terminal menu, CLI, and Docker support. If you enjoy using it, feel free to leave a ⭐!

PythonMIT★ 331 stars⑂ 57 forkssince Apr 2024View on GitHub ↗
KindCommand-line toolNetwork serviceLibraryhow this is determined

phoenixthrush/AniWorld-Downloader holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Vitality (88/100) and lowest on AI Readiness (39/100). It was last updated today. A single contributor accounts 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

luluPersonal account
67 followers104 public repossince Nov 2018

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 publish
PyPIaniworld5.3.02,1481040 days ago

Metrics by category

Vitality

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

88Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
22.8/36Commit cadence — 33/52 weeks with commits
18/18Commit volume — 588 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year588
human_commit_share1
days_since_last_push0
active_weeks_last_year33
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~6.4 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv.5.3.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases6.4

Community & Adoption

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

56Moderate · 17% of overall
How it's scored
40.9/60Stars — 331 stars
14.6/25Forks — 57 forks
4.7/15Watchers — 8 watchers
Inputs used
forks57
stars331
watchers8
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges7
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno
How it's scored
44.4/80Monthly downloads — 2,148 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesaniworld
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,148
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?

63Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
10.1/22.5Commit distribution — top contributor authored 55% of commits
13.5/13.5Contributor breadth — 16 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled16
top_contributor_share0.553
How it's scored
40.7/42Issue resolution — 97% of issues closed
19.3/30PR acceptance — 85/132 decided PRs merged
0/13Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/26 approved changesets -- score normalized to 0
Inputs used
merged_prs85
open_issues6
closed_issues194
prs_merged_7d1
prs_decided_7d1
prs_merged_30d5
prs_decided_30d11
issue_closed_ratio0.97
closed_unmerged_prs47
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
13.2/25Owner reach — 67 followers of phoenixthrush
25/25Track record — 104 public repos, account ~7 yr old
Inputs used
followers67
owner_typeUser
is_verified—
owner_loginphoenixthrush
public_repos104
account_age_days2,892
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 0 days ago
20/20Version history — 104 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesaniworld
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

76Good · 19% of overall
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — ruff.toml
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 1 out of 1 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://pypi.org/project/aniworld/
10/10Repository description
10/10Topics — 20 topics
0/10Wiki
Inputs used
topicsanime-downloader, anime-scraper, anime-streaming, aniworld-downloader, aniworld-to, burningseries, cli-tool, filmpalast, hanime-api, hentaihaven, hentaihaven-downloader, mangafire-api, mangafireto, moflix, mpv-player, python3, serienstream-downloader, tui-app, voesx, webscraper
has_wikino
homepagehttps://pypi.org/project/aniworld/
docs_sitehttps://pypi.org/project/aniworld/
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

47Weak · 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
2.5/2.5CI-Tests — 1 out of 1 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/26 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 25 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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate4.3
How it's scored
14/35Direct dependencies free of known advisories — 1 affected: certifi 2024.2.2 (high 7.5)
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
33.7/40No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 824 days ago
Inputs used
sourceosv
advisories58
affected_packages8
assessed_packages21
unassessed_packages13
affected_by_severityhigh 6, moderate 2
direct_affected_packages1
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 21 resolved dependencies against OSV. 13 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. 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.

39Weak · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
26.1/40Legible commit history — 49 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.49
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — ruff.toml
0/11Static type checking
10/10Reproducible environment — Dockerfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
54.8/55Manageable file sizes — 1/237 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes67,910
source_files_sampled237
oversized_source_files1
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

331GitHub stars
16contributors
588commits, last 12 months
0days since last push
100releases
1bus factor
6open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:aniworld@5.3.0; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 57 ⇿
0Stars
57Forks
85Releases

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.

01020304050605742024-092025-102026-10
Major 0Minor 0Patch 0

Each point covers 2 days.

OpenSSF Scorecard 4.3 / 10
4.3aggregate

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 · 2026-10-07 22:25 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests1 out of 1 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/26 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 25 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
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 13
RegistryPackageVersion constraintManifest
PyPIcertifi—pyproject.toml
PyPIniquests—pyproject.toml
PyPInpyscreen—pyproject.toml
PyPIffmpeg-python—pyproject.toml
PyPIpython-dotenv—pyproject.toml
PyPIflask—pyproject.toml
PyPIflask-wtf—pyproject.toml
PyPIwaitress—pyproject.toml
PyPIpackaging—pyproject.toml
PyPIcryptography—pyproject.toml
PyPIpatchright—pyproject.toml
PyPIcurl_cffi—pyproject.toml
PyPIwindows-curses<3.14pyproject.toml
All dependencies 34

Full resolved dependency set from the GitHub dependency graph: 14 direct and 20 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcertifi—direct
PyPIcertifi2024.2.2direct
PyPIcryptography—direct
PyPIcurl-cffi—direct
PyPIffmpeg-python—direct
PyPIflask—direct
PyPIflask-wtf—direct
PyPIniquests—direct
PyPInpyscreen—direct
PyPIpackaging—direct
PyPIpatchright—direct
PyPIpython-dotenv—direct
PyPIwaitress—direct
PyPIwindows-curses—direct
PyPIbeautifulsoup44.12.3indirect
PyPIbrotli1.1.0indirect
PyPIbs40.0.2indirect
PyPIcharset-normalizer3.3.2indirect
PyPIidna3.7indirect
PyPIinflate641.0.0indirect
PyPImultivolumefile0.2.3indirect
PyPImutagen1.47.0indirect
PyPIpsutil5.9.8indirect
PyPIpy7zr0.21.0indirect
PyPIpybcj1.0.2indirect
PyPIpycryptodomex3.20.0indirect
PyPIpyppmd1.1.0indirect
PyPIpyzstd0.15.10indirect
PyPIrequests2.31.0indirect
PyPIsoupsieve2.5indirect
PyPItexttable1.7.0indirect
PyPIurllib32.2.1indirect
PyPIwebsockets12.0indirect
PyPIyt-dlp2024.4.9indirect
Dependency advisories 8

This repository publishes no package the index resolves, so its own dependency graph was assessed — 21 packages, which also include development and test pins that never ship: 8 carry known advisories, of which 1 are direct. 13 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
certifi2024.2.2directhigh22024.7.4
brotli1.1.0indirecthigh22.13.4
py7zr0.21.0indirecthigh61.1.3
soupsieve2.5indirecthigh82.9.0
urllib32.2.1indirecthigh182.8.0
yt-dlp2024.4.9indirecthigh142026.7.4
idna3.7indirectmoderate23.15
requests2.31.0indirectmoderate62.33.0

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.