MaintainerPulse
temporal prediction of dependency maintenance riskfastdigest moritzmucha/fastdigest ● elevated
43%
no release in the next 12 months
67%
new issues will go unanswered (30 days)
100%
maintainer activity collapse within 12 months
89%
chance of a release within 12 months (survival model)
Repository activity, last 36 months
pushes
issues
PyPI release
What drives this score
TreeSHAP contributions; raises risk /
lowers risk
Survival curve
P(still no release) m months ahead, discrete-time hazard model
What if? — poke the model
drag a signal and the deployed models rescore this package live (implied signals move together — two years without a release also zeroes "releases, last 12mo"). The needle tracks the activity-collapse model, a logistic regression: monotone by construction, so it responds smoothly to counterfactuals where the tree models step.
maintainer activity collapse, 12mo
In plain words
- no pushes to the repository in 8 months
- bus factor: one person makes 100% of pushes
- only 0% of recent issues get a response in 30 days
- healthy cadence: 7 releases in the last year
Maintained alternatives
similar packages with low predicted risk; ranked by summary similarity
blended with shared-dependents overlap, validated against known migrations
| package | what it is | similarity | shared dependents | its 12mo risk |
|---|---|---|---|---|
| fastwarc | The world's fastest WARC parsing library written in Rust with bindings for Python. | 0.76 | 0 | 2% |
| ty | An extremely fast Python type checker, written in Rust. | 0.73 | 0 | 0% |
| uv | An extremely fast Python package and project manager, written in Rust. | 0.71 | 0 | 0% |
| yaml-rs | A High-Performance YAML Parser for Python written in Rust | 0.71 | 0 | 2% |
| pybigtools | Python bindings to the Bigtools Rust library for high-performance BigWig and BigBed I/O | 0.70 | 0 | 38% |
Signals at the latest snapshot
| days since last release | 231 | releases, last 12mo | 7 |
| people pushing, last 12mo | 1 | bus factor (top pusher share) | 100% |
| issues opened, last 12mo | 3 | 30-day response rate | 0% |
| stars accumulated | 6 | open vulns without fix | 0 |
Probabilities are isotonic-calibrated on a held-out validation year and evaluated on future snapshots the models never saw (PR-AUC 0.894, precision@50 = 1.00 on the headline target).