EA
ICT-BDA/EasyML
Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.
2.0k 435 +0/wk
GitHub
big-data-analytics learning-platform machine-learning machine-learning-platform machine-learning-studio
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
ICT-BDA/EasyML has +0 stars this period . Velocity data will be available after more historical data is collected.
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Signal-backed technical analysis will be available soon.
| Metric | EasyML | Anime4KCPP | deepvoice3_pytorch | PyPOTS |
|---|---|---|---|---|
| Stars | 2.0k | 2.0k | 2.0k | 2.0k |
| Forks | 435 | 148 | 483 | 183 |
| Weekly Growth | +0 | +0 | +0 | +2 |
| Language | Java | C++ | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | GPL-3.0 | NOASSERTION | BSD-3-Clause |
Capability Radar vs Anime4KCPP
EasyML
Anime4KCPP
Maintenance Activity 0
Last code push 843 days ago.
Community Engagement 100
Fork-to-star ratio: 21.9%. 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 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.