IG
nidhaloff/igel
a delightful machine learning tool that allows you to train, test, and use models without writing code
3.1k 209 +0/wk
GitHub
artificial-intelligence automation automl automl-experiments data-analysis data-science hacktoberfest hacktoberfest2021 machine-learning machine-learning-algorithms machine-learning-library machinelearning
Trend
3
Star & Fork Trend (44 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
nidhaloff/igel has +0 stars this period . 7-day velocity: 0.0%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | igel | tslearn | opyrator | pennylane |
|---|---|---|---|---|
| Stars | 3.1k | 3.1k | 3.1k | 3.1k |
| Forks | 209 | 369 | 166 | 765 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | BSD-2-Clause | MIT | Apache-2.0 |
Capability Radar vs tslearn
igel
tslearn
Maintenance Activity 33
Last code push 122 days ago.
Community Engagement 33
Fork-to-star ratio: 6.7%. Lower fork ratio may indicate passive usage.
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 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.