ML
Nixtla/mlforecast
Scalable machine 🤖 learning for time series forecasting.
1.2k 123 +0/wk
GitHub
dask forecast forecasting lightgbm machine-learning python time-series xgboost
Trend
3
Star & Fork Trend (12 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
Nixtla/mlforecast has +0 stars this period . 7-day velocity: 0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | mlforecast | ChineseChess-AlphaZero | rl-baselines-zoo | fastText_multilingual |
|---|---|---|---|---|
| Stars | 1.2k | 1.2k | 1.2k | 1.2k |
| Forks | 123 | 364 | 210 | 120 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Jupyter Notebook |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | GPL-3.0 | MIT | BSD-3-Clause |
Capability Radar vs ChineseChess-AlphaZero
mlforecast
ChineseChess-AlphaZero
Maintenance Activity 100
Last code push 3 days ago.
Community Engagement 51
Fork-to-star ratio: 10.2%. 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.