libjxl-tools
JPEG XL Image Coding System - "JXL" (command line utility)
The JPEG XL Image Coding System (ISO/IEC 18181) is a lossy and
lossless image compression format. It has a rich feature set and is
particularly optimized for responsive web environments, so that
content renders well on a wide range of devices. Moreover, it includes
several features that help transition from the legacy JPEG format.
libjpegxl-java
JPEG XL Image Coding System - "JXL" (java bindings)
The JPEG XL Image Coding System (ISO/IEC 18181) is a lossy and
lossless image compression format. It has a rich feature set and is
particularly optimized for responsive web environments, so that
content renders well on a wide range of devices. Moreover, it includes
several features that help transition from the legacy JPEG format.
libhwy1t64
Efficient and performance-portable SIMD wrapper (runtime files)
This library provides type-safe and source-code portable wrappers over
existing platform-specific intrinsics. Its design aims for simplicity,
reliable efficiency across platforms, and immediate usability with current
compilers.
node-ipydatagrid
Fast Datagrid widget for the Jupyter Notebook and JupyterLab
node-ipydatagrid provides a fast datagrid widget for the Jupyter Notebook and
JupyterLab.
libprotobuf-lite32
protocol buffers C++ library (lite version)
Protocol buffers are a flexible, efficient, automated mechanism for
serializing structured data - similar to XML, but smaller, faster, and
simpler. You define how you want your data to be structured once, then you can
use special generated source code to easily write and read your structured
data to and from a variety of data streams and using a variety of languages.
You can even update your data structure without breaking deployed programs
that are compiled against the "old" format.
libprotobuf32
protocol buffers C++ library
Protocol buffers are a flexible, efficient, automated mechanism for
serializing structured data - similar to XML, but smaller, faster, and
simpler. You define how you want your data to be structured once, then you can
use special generated source code to easily write and read your structured
data to and from a variety of data streams and using a variety of languages.
You can even update your data structure without breaking deployed programs
that are compiled against the "old" format.