gdal-plugins
Geospatial Data Abstraction Library - Plugins
GDAL is a translator library for raster geospatial data formats.
As a library, it presents a single abstract data model to the
calling application for all supported formats. The related OGR
library (which lives within the GDAL source tree) provides
a similar capability for simple features vector data.
python3-orjson
JSON parsing Python library
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
orjson is a fast, correct JSON library for Python. It benchmarks as the
fastest Python library for JSON and is more correct than the standard json
library or other third-party libraries. It serializes dataclass, datetime,
numpy, and UUID instances natively.
python3-coremltools
tools for Core ML model conversion, editing, and validation
This is Core ML Tools (coremltools) to convert machine learning models from
third-party libraries to the Core ML format. This Python package contains the
supporting tools for converting models from training libraries.
python3-django-timescaledb
database backend and tooling for Timescaledb (Python3 version)
A Django database backend and tooling for Timescaledb. It provides a model
field and manager to store and retrieve timescale data through the Django ORM.
python3-chacha20poly1305
chacha20-poly1305 implementation based on tlslite-ng
Simple pure-python chacha20-poly1305 implementation based on tlslite-ng code.
Designed to be compatible with Cryptography API.
python3-bioregistry
community curated registry, meta-registry, and compact identifier resolver
Here's what that means: