{"library":"dask-histogram","type":"library","category":null,"description":"dask-histogram provides parallel and out-of-core histogramming capabilities by integrating Dask with the boost-histogram library. It enables users to compute histograms efficiently on large datasets that may not fit into memory, leveraging Dask's distributed computing framework. The library currently operates on version 2026.2.0 and follows a rapid release cadence, often releasing monthly or bi-monthly updates.","language":"python","status":"active","version":"2026.2.0","tags":["dask","histogram","parallel-computing","data-analysis","physics","boost-histogram"],"install":[{"cmd":"pip install dask-histogram","imports":["from dask_histogram import AggHistogram","from dask_histogram import histogram","from dask_histogram import histogram2d"]}],"homepage":"https://dask-histogram.readthedocs.io","github":"https://github.com/dask-contrib/dask-histogram","docs":"https://dask-histogram.readthedocs.io/","changelog":null,"pypi":"https://pypi.org/project/dask-histogram/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":7,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/dask-histogram/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Tue Jun 30","last_verified":"Tue Jun 30","next_check":"Thu Jul 30","install_tag":null}}