postgresql-16-timescaledb

time-series SQL database optimized for fast ingest and complex queries

TimescaleDB is an open-source database designed to make SQL scalable for time-series data. It is engineered up from PostgreSQL and packaged as a PostgreSQL extension, providing automatic partitioning across time and space (partitioning key), as well as full SQL support.

python3-ftdi

user-space driver for popular FTDI devices

Suported FTDI devices include: UART and GPIO bridges FT232R (single port, 3Mbps) FT230X/FT231X/FT234X/ (single port, 3Mbps) UART, GPIO and multi-serial protocols (SPI, I2C, JTAG) bridges FT2232C/D (dual port, clock up to 6 MHz) FT232H (single port, clock up to 30 MHz) FT2232H (dual port, clock up to 30 MHz) FT4232H (quad port, clock up to 30 MHz)

python3-pyogrio

Vectorized spatial vector file format I/O using GDAL/OGR

Pyogrio provides a GeoPandas-oriented API to OGR vector data sources, such as ESRI Shapefile, GeoPackage, and GeoJSON. Vector data sources have geometries, such as points, lines, or polygons, and associated records with potentially many columns worth of data.

python3-signxml

Python library for the W3C XSML signature standard (Python 3)

SignXML is an implementation of the W3C XML Signature standard in Python. This standard (also known as "XMLDSig") is used to provide payload secuty in SAML 2.0, XAdES, and WS-Security, among other uses. The standard is defined in the W3C Recommendation XML Signature Syntax and Processing Version 1.1. SignXML implements all of the required components of the Version 1.1 standard, and most recommended ones.

python3-proton-keyring-linux

Proton Technologies keyring plugins for Linux

Python library that implements a credential storage solution for Linux, developed by the ProtonVPN team. It is used to securely manage user credentials (such as usernames and passwords) for Proton services such as ProtonVPN in the Linux environment.

python3-rioxarray

rasterio xarray extension

rioxarray is an extension to the xarray package that - supports multidimensional datasets such as netCDF - stores the CRS as a WKT, which is the recommended format - loads in the CRS, transform, and nodata metadata in standard CF & GDAL locations - supports masking and scaling data with the masked and mask_and_scale kwargs - adds the coordinate axis CF metadata - loads in raster metadata into the attributes