python3-bleak

Bluetooth Low Energy platform agnostic client

Bleak is an acronym for Bluetooth Low Energy platform Agnostic Klient.

python3-mystic

Constrained nonlinear optimization

The mystic framework provides a collection of optimization algorithms and tools that allows the user to more robustly (and easily) solve hard optimization problems for machine learning, uncertainty quantification and AI. mystic gives the user fine-grained power to both monitor and steer optimizations as the fit processes are running. Users can customize optimizer stop conditions, where both compound and user-provided conditions may be used. Optimizers can save state, can be reconfigured dynamically, and can be restarted from a saved solver or from a results file. All solvers can also leverage parallel computing, either within each iteration or as an ensemble of solvers.

rdflib-endpoint

SPARQL endpoint for RDFLib - command line tool

rdflib-endpoint is a SPARQL endpoint based on RDFLib to easily serve RDF files locally, machine learning models, or any other logic implemented in Python via custom SPARQL functions.

python3-bleak-retry-connector

Connector for Bleak Clients that handles transient connection failures

Provides a robust connector for Bleak clients, aimed at enhancing Bluetooth communication stability in Python applications. Intelligently handles transient connection failures by implementing retry mechanisms, thereby improving the reliability of Bluetooth connections. Designed for developers working on Bluetooth applications, simplifies the process of managing connections to BLE devices, especially in environments where connectivity may be prone to interruptions.

python3-dict2css

μ-library for transforming Python Dicts to CSS (Python 3)

This package provides an API similar to the json and toml modules, with dump and load functions.

python3-klepto

Persistent caching to memory, disk or database

klepto extends Python's lru_cache to utilise different keymaps and alternate caching algorithms. This package also has archiving capabilities for longer-term storage. It uses a simple dictionary-style interface for all caches and archives, and all caches can be applied to any Python function as a decorator.