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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.