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 ⭐!
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)
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).
Direct dependencies free of known advisories — 1 affected: certifi 2024.2.2 (high 7.5)
0/25
Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
33.7/40
No advisories left outstanding — 1 advisory-carrying package(s) unaddressed past 90 days; oldest published 824 days ago
Inputs used
source
osv
advisories
58
affected_packages
8
assessed_packages
21
unassessed_packages
13
affected_by_severity
high 6, moderate 2
direct_affected_packages
1
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.
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.
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.
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
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.
Registry
Package
Version
Relation
PyPI
certifi
—
direct
PyPI
certifi
2024.2.2
direct
PyPI
cryptography
—
direct
PyPI
curl-cffi
—
direct
PyPI
ffmpeg-python
—
direct
PyPI
flask
—
direct
PyPI
flask-wtf
—
direct
PyPI
niquests
—
direct
PyPI
npyscreen
—
direct
PyPI
packaging
—
direct
PyPI
patchright
—
direct
PyPI
python-dotenv
—
direct
PyPI
waitress
—
direct
PyPI
windows-curses
—
direct
PyPI
beautifulsoup4
4.12.3
indirect
PyPI
brotli
1.1.0
indirect
PyPI
bs4
0.0.2
indirect
PyPI
charset-normalizer
3.3.2
indirect
PyPI
idna
3.7
indirect
PyPI
inflate64
1.0.0
indirect
PyPI
multivolumefile
0.2.3
indirect
PyPI
mutagen
1.47.0
indirect
PyPI
psutil
5.9.8
indirect
PyPI
py7zr
0.21.0
indirect
PyPI
pybcj
1.0.2
indirect
PyPI
pycryptodomex
3.20.0
indirect
PyPI
pyppmd
1.1.0
indirect
PyPI
pyzstd
0.15.10
indirect
PyPI
requests
2.31.0
indirect
PyPI
soupsieve
2.5
indirect
PyPI
texttable
1.7.0
indirect
PyPI
urllib3
2.2.1
indirect
PyPI
websockets
12.0
indirect
PyPI
yt-dlp
2024.4.9
indirect
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.
Package
Version
Relation
Severity
Advisories
Fixed in
certifi
2024.2.2
direct
high
2
2024.7.4
brotli
1.1.0
indirect
high
2
2.13.4
py7zr
0.21.0
indirect
high
6
1.1.3
soupsieve
2.5
indirect
high
8
2.9.0
urllib3
2.2.1
indirect
high
18
2.8.0
yt-dlp
2024.4.9
indirect
high
14
2026.7.4
idna
3.7
indirect
moderate
2
3.15
requests
2.31.0
indirect
moderate
6
2.33.0
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.
Related records
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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.