MaintainerPulse

temporal prediction of dependency maintenance risk

pycryptodome Legrandin/pycryptodome ▲ high risk

84%
no release in the next 12 months
50%
new issues will go unanswered (30 days)
100%
maintainer activity collapse within 12 months
13%
chance of a release within 12 months (survival model)

Model risk over time

calibrated P(no release next 12mo) at each historical monthly snapshot
0%50%100%2018-012020-072022-122025-06high risk

Repository activity, last 36 months

pushes issues PyPI release
025502023-092024-082025-072026-09

What drives this score

TreeSHAP contributions; raises risk / lowers risk
stars, all time+releases, all time-events, all time+releases, last 12mo+

Survival curve

P(still no release) m months ahead, discrete-time hazard model
0%50%100%036912

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

Maintained alternatives

similar packages with low predicted risk; ranked by summary similarity blended with shared-dependents overlap, validated against known migrations
packagewhat it issimilarity shared dependentsits 12mo risk
cryptography cryptography is a package which provides cryptographic recipes and primitives to Python de 0.73 7 0%
pynacl Python binding to the Networking and Cryptography (NaCl) library 0.69 2 36%
ecdsa ECDSA cryptographic signature library (pure python) 0.66 4 13%
ledgered Python tools, utils, libraries, to be used with Ledger cryptodevices 0.59 0 6%
pyopenssl Python wrapper module around the OpenSSL library 0.58 0 6%

Signals at the latest snapshot

days since last release 472 releases, last 12mo 0
people pushing, last 12mo 1 bus factor (top pusher share) 100%
issues opened, last 12mo 1 30-day response rate 0%
stars accumulated 3170 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).