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node-webpack-env

Read variables from a file and make them available to webpack

Webpack ENV is a webpack plug-in for creating ENV-variable-like globals in webpack.

python3-aioruckus

API to interact with Ruckus Unleashed and ZoneDirector devices

This package provides a Python API which interacts with Ruckus Unleashed and ZoneDirector devices via their AJAX Web Service interface. Configuration information can also be queried from Ruckus Unleashed and ZoneDirector backup files.

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.

python3-aioridwell

asyncio-based API for interacting with Ridwell waste recycling

This package provdies an asyncio-friendly library for interacting with Ridwell to view information on upcoming recycling pickups.

cutesv

comprehensive discovery of structural variations of genomic sequences

Long-read sequencing enables the comprehensive discovery of structural variations (SVs). However, it is still non-trivial to achieve high sensitivity and performance simultaneously due to the complex SV characteristics implied by noisy long reads.

python3-forecast-solar

Library to request solar panel production forecasts

This library provides an interface to obtain solar production forecasts for solar panel systems. Utilizing data from weather forecasts and historical solar production, it estimates the energy output your solar panels will generate. The estimates take into account various attributes such as the location, declination, azimuth, and total power capacity of your solar panels. The service includes predictions for energy production on a daily and hourly basis, as well as identifying peak production times. These predictions can be useful for planning energy usage, optimizing the performance of your solar panel system, and making informed decisions about energy consumption patterns.