hdf5@1.8 ☆

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Description:
File format designed to store large amounts of data

Type: Formula | Tracked Since: Oct 26, 2024

Links: Homepage | formulae.brew.sh

Category: Databases

Tags: data-format scientific-computing high-performance hpc data-management

Install: brew install hdf5@1.8

About:
HDF5 (Hierarchical Data Format 5) is a data model, library, and file format designed for storing and managing extremely large and complex data collections. It supports an unlimited variety of datatypes and is optimized for high-volume I/O operations and data storage, making it a standard for scientific and engineering applications.

Key Features:

Hierarchical data organization (groups/datasets)
Self-describing file format with rich metadata
Support for parallel I/O and high-performance computing
Cross-platform compatibility and long-term sustainability
Efficient storage for large, multi-dimensional arrays

Use Cases:

Storing and managing large-scale scientific simulation data (e.g., climate, physics)
Managing complex data pipelines in machine learning and deep learning research
Serving as a standard data container for bioinformatics and geospatial datasets

Alternatives:

NetCDF – More specialized for array-oriented scientific data, often built on top of HDF5.
Zarr – Designed for cloud-native, chunked arrays with better scalability for object storage.
Apache Parquet – Columnar storage format optimized for analytical querying, not hierarchical data.

Version History

Detected	Version	Rev	Change	Commit
Oct 26, 2024 10:15pm		0	VERSION_BUMP	588f7ef3