MaintainerPulse

temporal prediction of dependency maintenance risk

robotframework-reportportal reportportal/agent-Python-RobotFramework ● elevated

43%
no release in the next 12 months
50%
new issues will go unanswered (30 days)
98%
maintainer activity collapse within 12 months
62%
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
0501002023-092024-062025-032026-06

What drives this score

TreeSHAP contributions; raises risk / lowers risk
releases, all time-days since last release-events, all time+activity events, 1mo+

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
pytest-reportportal Agent for Reporting results of tests to the Report Portal 0.63 0 4%
robotframework-assertion-engine Generic way to create meaningful and easy to use assertions for the Robot Framework librar 0.58 0 9%
robotframework-pabot Parallel test runner for Robot Framework 0.54 0 9%
robotframework-robocop Static code analysis tool (linter) and code formatter for Robot Framework 0.52 0 2%
reportportal-client Python client for ReportPortal v5. 0.51 0 5%

Signals at the latest snapshot

days since last release 90 releases, last 12mo 3
people pushing, last 12mo 1 bus factor (top pusher share) 100%
issues opened, last 12mo 1 30-day response rate 100%
stars accumulated 56 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).