HDF5 (Hierarchical Data Format v5) is a widely-used data management library and file format for storing large and complex scientific data sets efficiently.

Features

  • Supports hierarchical data organization for structured storage
  • Provides high-performance I/O for massive datasets
  • Allows data compression and chunking for efficient storage usage
  • Works across multiple programming languages, including C, C++, Python, and Java
  • Enables parallel computing for distributed data processing
  • Open-source and widely used in scientific, engineering, and AI applications

Project Samples

Project Activity

See All Activity >

Categories

Database

Follow HDF5

HDF5 Web Site

Other Useful Business Software
MongoDB Atlas runs apps anywhere Icon
MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of HDF5!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

C

Related Categories

C Database Software

Registered

2025-02-19