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About

Package, dependency, and environment management for any language, Python, R, Ruby, Lua, Scala, Java, JavaScript, C/ C++, Fortran, and more. Conda is an open-source package management system and environment management system that runs on Windows, macOS, Linux, and z/OS. Conda quickly installs, runs, and updates packages and their dependencies. Conda easily creates, saves, loads, and switches between environments on your local computer. It was created for Python programs, but it can package and distribute software for any language. Conda as a package manager helps you find and install packages. If you need a package that requires a different version of Python, you do not need to switch to a different environment manager, because conda is also an environment manager. With just a few commands, you can set up a totally separate environment to run that different version of Python, while continuing to run your usual version of Python in your normal environment.

About

MPCPy is a Python package that facilitates the testing and implementation of occupant-integrated model predictive control (MPC) for building systems. The package focuses on the use of data-driven, simplified physical or statistical models to predict building performance and optimize control. Four main modules contain object classes to import data, interact with real or emulated systems, estimate and validate data-driven models, and optimize control input. While MPCPy provides an integration platform, it relies on free, open-source, third-party software packages for model implementation, simulators, parameter estimation algorithms, and optimization solvers. This includes Python packages for scripting and data manipulation as well as other more comprehensive software packages for specific purposes. In particular, modeling and optimization for physical systems currently rely on the Modelica language specification.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

IT professionals and users in need of a solution to find and install packages and set up environments

Audience

Plants and companies requiring an open-source platform to improve their Model Predictive Control (MPC) in their buildings

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Conda
docs.conda.io

Company Information

MPCPy
United States
github.com/lbl-srg/MPCPy

Alternatives

Rocket Open AppDev for Z

Rocket Open AppDev for Z

Rocket Software

Alternatives

Cybernetica CENIT

Cybernetica CENIT

Cybernetica
Thoa

Thoa

Thoa.io
COLUMBO

COLUMBO

PiControl Solutions
INCA MPC

INCA MPC

Inca Tools
AVEVA APC

AVEVA APC

AVEVA

Categories

Categories

Integrations

Amazon SageMaker Studio Lab
Arize Phoenix
CodeQwen
Coiled
Fortran Package Manager
JetBrains DataSpell
Nyala
Python
Reo.Dev
Seeker
Sonatype Nexus Repository
Spark NLP
Thunder Compute
Travis CI
Ubuntu
Ultralytics
garak

Integrations

Amazon SageMaker Studio Lab
Arize Phoenix
CodeQwen
Coiled
Fortran Package Manager
JetBrains DataSpell
Nyala
Python
Reo.Dev
Seeker
Sonatype Nexus Repository
Spark NLP
Thunder Compute
Travis CI
Ubuntu
Ultralytics
garak
Claim Conda and update features and information
Claim Conda and update features and information
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Claim MPCPy and update features and information