linopy | Linear optimization with N-D labeled arrays in Python

 by   PyPSA Python Version: 0.3.11 License: GPL-3.0

kandi X-RAY | linopy Summary

kandi X-RAY | linopy Summary

linopy is a Python library. linopy has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install linopy' or download it from GitHub, PyPI.

linopy is an open-source python package that facilitates linear or mixed-integer optimisation with real world data. It builds a bridge between data analysis packages like xarray & pandas and linear problem solvers like cbc, gurobi (see the full list below). The project aims to make linear programming in python easy, highly-flexible and performant.
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            kandi-support Support

              linopy has a low active ecosystem.
              It has 59 star(s) with 13 fork(s). There are 6 watchers for this library.
              There were 2 major release(s) in the last 6 months.
              There are 14 open issues and 29 have been closed. On average issues are closed in 47 days. There are 6 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of linopy is 0.3.11

            kandi-Quality Quality

              linopy has 0 bugs and 0 code smells.

            kandi-Security Security

              linopy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              linopy code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              linopy is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              linopy releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 3680 lines of code, 330 functions and 38 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed linopy and discovered the below as its top functions. This is intended to give you an instant insight into linopy implemented functionality, and help decide if they suit your requirements.
            • Solve the problem .
            • Run gurobi .
            • Run the highs algorithm .
            • Run a glpk solver .
            • Run a Xpress problem .
            • Run a cplex solver .
            • Runs a Cbc .
            • Write a problem to a file .
            • Create a Dataset from tuples .
            • Create a model from a netCDF file .
            Get all kandi verified functions for this library.

            linopy Key Features

            No Key Features are available at this moment for linopy.

            linopy Examples and Code Snippets

            No Code Snippets are available at this moment for linopy.

            Community Discussions

            No Community Discussions are available at this moment for linopy.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install linopy

            So far linopy is available on the PyPI repository.

            Support

            linopy supports the following solvers. Note that these do have to be installed by the user separately.
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            Install
          • PyPI

            pip install linopy

          • CLONE
          • HTTPS

            https://github.com/PyPSA/linopy.git

          • CLI

            gh repo clone PyPSA/linopy

          • sshUrl

            git@github.com:PyPSA/linopy.git

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