IG

nidhaloff/igel

a delightful machine learning tool that allows you to train, test, and use models without writing code

3.1k 209 +1/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 (43 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

nidhaloff/igel has +1 stars this period . 7-day velocity: 0.0%.

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Signal-backed technical analysis will be available soon.

Metric igel tslearn opyrator pennylane
Stars 3.1k 3.1k3.1k3.1k
Forks 209 369166765
Weekly Growth +1 +1+0+2
Language Python PythonPythonPython
Sources 1 111
License MIT BSD-2-ClauseMITApache-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 42

+1 stars this period — 0.03% growth rate.

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.