ArchiveBox/abx-dl holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (86/100) and lowest on AI Readiness (51/100). It was last updated 3 days ago. A single contributor accounts for most of its recent work.
83
overall / 100
Excellent
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.
83
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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).
Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25
Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40
No advisories left outstanding — no advisory carries a publication date
Inputs used
source
osv
advisories
0
affected_packages
0
assessed_packages
26
unassessed_packages
0
affected_by_severity
none
direct_affected_packages
0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:abx-dl@1.12.269 runtime dependency closure — what installing the published package pulls in — 26 packages. 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.
Type-checkable code — Python without a type-check config
51.9/55
Manageable file sizes — 2/36 source files over 60KB
Inputs used
primary_language
Python
largest_source_bytes
107,818
source_files_sampled
36
oversized_source_files
2
Key facts
142GitHub stars
2contributors
1,184commits, last 12 months
3days since last push
100releases
1bus factor
1open issues
npm, 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 ★ / 9 ⇿
0Stars
9Forks
74Releases
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 74
Each point covers 2 days.
OpenSSF Scorecard 5.3 / 10
5.3aggregate
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 · 2026-09-11 08:29 UTC
Full resolved dependency set from the GitHub dependency graph: 24 direct and 65 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
Registry
Package
Version
Relation
npm
abxbus
^2.5.4
direct
npm
puppeteer
^23.10.1
direct
npm
puppeteer-core
^23.10.1
direct
npm
sharp
^0.33.5
direct
PyPI
abx-plugins
—
direct
PyPI
abx-plugins
1.12.233
direct
PyPI
abxbus
2.5.10
direct
PyPI
abxbus
2.5.56
direct
PyPI
abxpkg
—
direct
PyPI
abxpkg
1.12.117
direct
PyPI
platformdirs
—
direct
PyPI
platformdirs
4.10.0
direct
PyPI
psutil
—
direct
PyPI
psutil
7.2.2
direct
PyPI
pydantic
—
direct
PyPI
pydantic
2.13.4
direct
PyPI
pydantic-settings
—
direct
PyPI
pydantic-settings
2.14.2
direct
PyPI
requests
—
direct
PyPI
requests
2.34.2
direct
PyPI
rich
—
direct
PyPI
rich
15.0.0
direct
PyPI
rich-click
—
direct
PyPI
rich-click
1.9.8
direct
PyPI
abx-dl
1.12.268
indirect
PyPI
annotated-types
0.7.0
indirect
PyPI
ast-serialize
0.6.0
indirect
PyPI
blinker
1.9.0
indirect
PyPI
certifi
2026.6.17
indirect
PyPI
charset-normalizer
3.4.9
indirect
PyPI
click
8.4.2
indirect
PyPI
colorama
0.4.6
indirect
PyPI
execnet
2.1.2
indirect
PyPI
flake8
—
indirect
PyPI
flake8
7.3.0
indirect
PyPI
flask
—
indirect
PyPI
flask
3.1.3
indirect
PyPI
idna
3.18
indirect
PyPI
imagesize
2.0.0
indirect
PyPI
iniconfig
2.3.0
indirect
PyPI
itsdangerous
2.2.0
indirect
PyPI
jambo
—
indirect
PyPI
jinja2
3.1.6
indirect
PyPI
librt
0.13.0
indirect
PyPI
markdown-it-py
4.2.0
indirect
PyPI
markupsafe
3.0.3
indirect
PyPI
mccabe
0.7.0
indirect
PyPI
mdurl
0.1.2
indirect
PyPI
mypy
—
indirect
PyPI
mypy
2.3.0
indirect
PyPI
mypy-extensions
1.1.0
indirect
PyPI
nodeenv
1.10.0
indirect
PyPI
packaging
26.2
indirect
PyPI
pathspec
1.1.1
indirect
PyPI
pdm-backend
2.4.9
indirect
PyPI
pluggy
1.6.0
indirect
PyPI
prek
—
indirect
PyPI
prek
0.4.9
indirect
PyPI
pycodestyle
2.14.0
indirect
PyPI
pydantic-core
2.46.4
indirect
PyPI
pyflakes
3.4.0
indirect
PyPI
pygments
2.20.0
indirect
PyPI
pyright
—
indirect
PyPI
pyright
1.1.411
indirect
PyPI
pytest
—
indirect
PyPI
pytest
8.4.2
indirect
PyPI
pytest-codeblocks
0.18.0
indirect
PyPI
pytest-github-actions-annotate-failures
—
indirect
PyPI
pytest-github-actions-annotate-failures
0.4.2
indirect
PyPI
pytest-httpserver
—
indirect
PyPI
pytest-httpserver
1.1.5
indirect
PyPI
pytest-sugar
—
indirect
PyPI
pytest-sugar
1.1.1
indirect
PyPI
pytest-timeout
—
indirect
PyPI
pytest-timeout
2.4.0
indirect
PyPI
pytest-xdist
—
indirect
PyPI
pytest-xdist
3.8.0
indirect
PyPI
python-dotenv
1.2.2
indirect
PyPI
ruff
—
indirect
PyPI
ruff
0.15.21
indirect
PyPI
termcolor
3.3.0
indirect
PyPI
ty
—
indirect
PyPI
ty
0.0.59
indirect
PyPI
typing-extensions
4.16.0
indirect
PyPI
typing-inspection
0.4.2
indirect
PyPI
urllib3
2.7.0
indirect
PyPI
uuid7
0.1.0
indirect
PyPI
uv
0.11.29
indirect
PyPI
werkzeug
3.1.8
indirect
Dependency advisories 0
Installing pypi:abx-dl@1.12.269 pulls in 26 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.
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.