EV
hengzhe-zhang/EvolutionaryForest
An open source python library for automated feature engineering based on Genetic Programming
159 34 +0/wk
GitHub ✦ New Signal
automated-feature-engineering automated-machine-learning automl data-science feature-engineering genetic-programming machine-learning
Trend
0
Star & Fork Trend (2 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
hengzhe-zhang/EvolutionaryForest has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | EvolutionaryForest | moltstream | recursive-improve | aws-neuron-samples |
|---|---|---|---|---|
| Stars | 159 | 159 | 158 | 158 |
| Forks | 34 | 40 | 12 | 48 |
| Weekly Growth | +0 | +78 | +1 | +0 |
| Language | Python | TypeScript | Python | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | LGPL-3.0 | MIT | Apache-2.0 | NOASSERTION |
Capability Radar vs moltstream
EvolutionaryForest
moltstream
Maintenance Activity 100
Last code push 0 days ago.
Community Engagement 100
Fork-to-star ratio: 21.4%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 70
Licensed under LGPL-3.0. Copyleft — check compatibility requirements.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.