tslearn and Time-Series-Library
Maintenance
20/25
Adoption
25/25
Maturity
25/25
Community
21/25
Maintenance
17/25
Adoption
10/25
Maturity
16/25
Community
23/25
Stars: 3,125
Forks: 367
Downloads: 311,230
Commits (30d): 6
Language: Python
License: BSD-2-Clause
Stars: 11,714
Forks: 1,868
Downloads: —
Commits (30d): 7
Language: Python
License: MIT
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About tslearn
tslearn-team/tslearn
The machine learning toolkit for time series analysis in Python
About Time-Series-Library
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
Supports five mainstream time series tasks (forecasting with exogenous variables, imputation, anomaly detection, classification) with unified benchmarking across 30+ state-of-the-art models including Transformers, state-space models (Mamba), and decomposition-based architectures. Features zero-shot evaluation capabilities for large language model-based time series forecasting and standardized datasets with rigorous experimental protocols to address benchmark saturation issues.
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