gmtsar

InSAR processing system based on Generic Mapping Tools - metapackage

GMTSAR is an open source Interferometric Synthetic Aperture RADAR (InSAR) processing system designed for users familiar with Generic Mapping Tools (GMT).

libomd-ocaml

Markdown frontend in pure OCaml (runtime)

This Markdown library is implemented using only pure OCaml (including I/O operations provided by the standard OCaml compiler distribution). OMD is meant to be as faithful as possible to the original Markdown. Additionally, OMD implements a few Github markdown features, an extension mechanism, and some other features. Note that the opam package installs both the OMD library and the command line tool `omd`.

omd

Markdown frontend in pure OCaml (tools)

This Markdown library is implemented using only pure OCaml (including I/O operations provided by the standard OCaml compiler distribution). OMD is meant to be as faithful as possible to the original Markdown. Additionally, OMD implements a few Github markdown features, an extension mechanism, and some other features. Note that the opam package installs both the OMD library and the command line tool `omd`.

monitoring-plugins-check-smart

nagios compatible check S.M.A.R.T. storage plugin

The check_smart monitoring plugin uses smartmontools to monitor the health of physical hard drives via a central nagios based monitoring system.

libjxl0.8

JPEG XL Image Coding System - "JXL" (shared libraries)

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.

python3-pydataverse

Python module for interacting with Dataverse APIs

pyDataverse provides a comprehensive Python interface for interacting with Dataverse's APIs, facilitating the manipulation, validation, import, and export of all Dataverse data-types, including Dataverses, Datasets, and Datafiles. Whether it's for importing large volumes of data into Dataverse, testing instances post-deployment, or executing basic API calls, pyDataverse streamlines these processes. Its fully Open Source license ensures it is accessible for everyone to use. Features include a comprehensive API wrapper covering all Dataverse API endpoints, data models for key Dataverse data types, data conversion tools for Dataverse's JSON format, easy mass imports/exports through CSV templates, utility functions, documented examples, custom exceptions, and a test suite. This module supports Python 3.6 and newer versions, making it a versatile tool for developers working with Dataverse.