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
Categories
DatabaseFollow HDF5
You Might Also Like
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of HDF5!