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.