5 projects
h5py
h5py is a Pythonic interface to the HDF5 binary data format, providing a high-level interface for storing and organizing large amounts of numerical data. It allows Python programs to store huge amounts of numerical data in a hierarchical format, and efficiently manipulate that data from NumPy.
Contributors
1,540
Organizations
476
Software value
$1.1M
Zarr
Zarr is a format and library for chunked, compressed N-dimensional arrays, designed for efficient storage and access of large scientific datasets. It provides a Python implementation with support for cloud storage, parallel computing, and hierarchical organization of arrays.
Contributors
825
Organizations
292
Software value
$1.5M
Unidata NetCDF
NetCDF (Network Common Data Form) is a set of software libraries and machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data. This C implementation provides the reference library and tools for working with NetCDF files, enabling efficient storage and retrieval of multi-dimensional scientific data.
Contributors
639
Organizations
171
Software value
$20M
HDF5
Official HDF5® Library Repository
Contributors
636
Organizations
180
Software value
$98M
TileDB
TileDB is a universal data engine that enables efficient storage, querying and management of multi-dimensional array data. It provides a novel storage format and APIs for handling dense and sparse arrays with support for multiple data types, cloud storage integration, and parallel I/O operations.
Contributors
220
Organizations
63
Software value
$14M