skforecast/skforecast
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
scikit-learn wrappers for Python fastText.
Appears on
Quick read
Latest capture 2026-10-06 03:13
Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
9 observed captures since 2026-05-22. Observed captures are shown by default.
Stars from first capture +1
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
PySpark + Scikit-learn = Sparkit-learn
A unified framework for machine learning with time series
Sequential model-based optimization with a `scipy.optimize` interface
scikit-learn: machine learning in Python
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale