{"library":"tsdownsample","type":"library","category":null,"description":"tsdownsample is an extremely fast Python library for time series downsampling, leveraging Rust for its core implementation. It utilizes SIMD instructions and multithreading (via Rayon in Rust) to provide highly optimized, memory-efficient, and flexible algorithms for visualization and analysis of large time series datasets. The library is actively maintained, with its current version being 0.1.4.1.","language":"python","status":"active","version":"0.1.4.1","tags":["time series","downsampling","performance","Rust","visualization","SIMD"],"last_verified":"Fri May 22","install":[{"cmd":"pip install tsdownsample","imports":["from tsdownsample import MinMaxLTTBDownsampler","from tsdownsample import LTTBDownsampler","from tsdownsample import MinMaxDownsampler"]}],"homepage":null,"github":"https://github.com/predict-idlab/tsdownsample","docs":null,"changelog":null,"pypi":"https://pypi.org/project/tsdownsample/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":3.7,"avg_import_s":0.27,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/tsdownsample/compatibility"}}