{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/4"}],"enrichment":{"capability":"Flox provides fast GroupBy reduction operations for arrays using dask and xarray, offering interfaces for common aggregations like mean and sum, plus custom reductions.","skillfed_tags":["scientific-computing","array-operations"],"use_cases":["Compute grouped statistics on large arrays without materializing the full dataset in memory.","Perform GroupBy reductions on multi-dimensional scientific data in a distributed setting.","Define custom aggregation logic for domain-specific GroupBy operations on chunked arrays.","Integrate fast GroupBy operations into Earth science data analysis pipelines.","Reduce intermediate results from blockwise operations using combine and finalize strategies."],"what_it_does":"Flox is a library for performing GroupBy reduction operations efficiently on arrays with dask and xarray. It was created to address performance bottlenecks in GroupBy operations and to bring fast aggregations to the dask ecosystem. The package provides two main interfaces: a pure array function (groupby_reduce) and an xarray-specific function (xarray_reduce), both supporting common reductions like mean, sum, and count, as well as custom aggregations defined via an Aggregation class.\n\nThe library depends on pandas, numpy, scipy, packaging, toolz, and numpy_groupies to deliver its functionality. It is actively maintained, supports Python 3.11\u20133.14, and carries an Apache-2.0 license. With low install friction and no known security vulnerabilities, it is suitable for scientific computing workflows that require scalable GroupBy operations on large, chunked arrays.","worth_installing":"Yes. Flox is actively maintained, has no security vulnerabilities, and low install friction. It directly addresses performance needs in GroupBy operations for scientific computing. The Apache-2.0 license is permissive. Install it if you need efficient grouped reductions on arrays; the Beta status is not a barrier given the active maintenance and NASA-funded backing."},"id":"flox","links":{"html":"https://skillfed.io/packages/flox","md":"https://skillfed.io/packages/flox.md","pypi":"https://pypi.org/project/flox/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-02-26","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"flox","python_support":"supports_current","summary":"GroupBy operations for dask.array"},"popularity":{"monthly_downloads":352795,"position":7309,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.11.2"}