{"library":"dask","type":"library","category":null,"description":"Dask is a flexible open-source Python library for parallel computing, enabling users to scale Python workflows from single machines to distributed clusters. It provides parallelized NumPy array, Pandas DataFrame, and Python list (Bag) objects, extending familiar interfaces to larger-than-memory or distributed environments. Dask maintains a frequent release cadence, typically releasing new versions monthly.","language":"python","status":"active","version":"2026.3.0","tags":["parallel computing","distributed computing","data science","dataframe","array","etl","scalable python"],"last_verified":"Tue Jun 09","install":[{"cmd":"pip install dask","imports":["import dask.array as da","import dask.dataframe as dd","import dask.bag as db","from dask import delayed","from dask.distributed import Client","from dask.distributed import LocalCluster"]},{"cmd":"pip install \"dask[complete]\"","imports":[]},{"cmd":"conda install dask","imports":[]}],"homepage":"https://dask.org","github":"https://github.com/dask/dask","docs":null,"changelog":null,"pypi":"https://pypi.org/project/dask/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":58,"avg_install_s":9.4,"avg_import_s":1.23,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/dask/compatibility"}}