{"library":"tsam","type":"library","category":null,"description":"tsam is a time series aggregation module for creating typical periods (e.g., days or weeks) from high-resolution time series, commonly used in energy system modeling and other time series analysis. It provides methods like k-means clustering, hierarchical clustering, and averaging to reduce data while preserving key statistical features. Current version: 3.4.1, requires Python >=3.10, <3.15. Release cadence: periodic, with major version bumps for breaking changes.","language":"python","status":"active","version":"3.4.1","tags":["timeseries","aggregation","clustering","typicals","energy"],"last_verified":"Sun Jun 07","install":[{"cmd":"pip install tsam","imports":["from tsam import TimeSeriesAggregation","from tsam import aggregate"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":null,"npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}