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: