dask-contrib / dask-histogramLinks
Histograms with task scheduling.
☆25Updated this week
Alternatives and similar repositories for dask-histogram
Users that are interested in dask-histogram are comparing it to the libraries listed below
Sorting:
- ☆35Updated last year
- Manipulating ragged arrays in an Array API compliant way.☆45Updated last month
- For when your data won't fit in your dataframe☆49Updated 4 months ago
- Native Dask collection for awkward arrays, and the library to use it.☆69Updated this week
- xarray data creation by data classes☆81Updated last year
- Scripts to build much of the Scipy ecosystem from source.☆18Updated last week
- Python bindings for the C++14 Boost::Histogram library☆156Updated this week
- Pages defining the website of the Scikit-HEP project.☆12Updated this week
- Strict implementation of the Python array API (previously numpy.array_api)☆28Updated last week
- Masked versions of array API compatible arrays☆28Updated last month
- ☆13Updated last year
- ☆19Updated 7 years ago
- Multi-dimensional data arrays with labeled dimensions☆139Updated this week
- attempt at swag design for scipy 2022☆27Updated 2 years ago
- ☆85Updated last year
- Histogramming for analysis powered by boost-histogram☆137Updated this week
- Interface ReadTheDocs and GitHub Actions☆48Updated 11 months ago
- [DEPRECATED] Use setup-micromamba instead☆74Updated 2 years ago
- Vector classes and utilities☆97Updated this week
- Framework that can run checks on repos☆86Updated 3 weeks ago
- Developer tool for scientific Python libraries☆127Updated last week
- Efficiently generate and analyse high dimensional data.☆71Updated last year
- Python library for configuring a package including defaults, env variable loading, and yaml loading.☆41Updated 3 weeks ago
- Build jupyterlite apps out of repositories☆35Updated 3 weeks ago
- Scientific Python Ecosystem Coordination (SPEC) documents☆100Updated 3 weeks ago
- pytest plugin to facilitate comparison of results to a pre-defined reference☆28Updated 2 months ago
- Schema validation for Xarray objects☆44Updated last week
- Meta-package providing the oldest supported Numpy for a given Python version and platform☆54Updated last year
- Parallel NumPy seamlessly speeds up NumPy for large arrays (64K+ elements) with no change required to existing code.☆66Updated 4 years ago
- Backend for columnar, fully orchestrated HEP analyses with pure Python, law and order.☆35Updated this week