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written in Python.\nIt enables you to decompose your models, making them easier to build and\nmaintain, while still solving them in a tightly coupled manner with\nefficient parallel numerical methods.\n\nThe OpenMDAO project is primarily focused on supporting gradient-based\noptimization with analytic derivatives to allow you to explore large\ndesign spaces with hundreds or thousands of design variables, but the\nframework also has a number of parallel computing features that can\nwork with gradient-free optimization, mixed-integer nonlinear\nprogramming, and traditional design space exploration.\n\nIf you are using OpenMDAO, please [cite][20] us!\n\n## Documentation\n\nDocumentation for the latest development version can be found [here][2].\n\nDocumentation for all released versions can be found [here][3].\n\n## Important Notice\n\nWhile the API is relatively stable, **OpenMDAO** remains in active development.\nThere will be periodic changes to the API.\nUser's are encouraged to pin their version of OpenMDAO to a recent release and\nupdate periodically.\n\n## Install OpenMDAO\n\nYou have two options for installing **OpenMDAO**, (1) from the\n[Python Package Index (PyPI)][1], and (2) from the [GitHub repository][4].\n\n**OpenMDAO** includes several optional sets of dependencies including:\n`test` for installing the developer tools (e.g., testing, coverage),\n`docs` for building the documentation and\n`visualization` for some extra visualization tools.\nSpecifying `all` will include all of the optional dependencies.\n\n### Install from [PyPI][1]\n\nThis is the easiest way to install **OpenMDAO**. To install only the runtime\ndependencies:\n\n    pip install openmdao\n\nTo install all the optional dependencies:\n\n    pip install openmdao[all]\n\n### Install from a Cloned Repository\n\nThis allows you to install **OpenMDAO** from a local copy of the source code.\n\n    git clone http://github.com/OpenMDAO/OpenMDAO\n    cd OpenMDAO\n    pip install .\n\nIf you would like to make changes to **OpenMDAO** it is recommended you\ninstall it in *[editable][16]* mode (i.e., development mode) by adding the `-e`\nflag when calling `pip`, this way any changes you make to the source code will\nbe included when you import **OpenMDAO** in *Python*. You will also want to\ninstall the packages necessary for running **OpenMDAO**'s tests and documentation\ngenerator.  You can install everything needed for development by running:\n\n    pip install -e OpenMDAO[all]\n\n## Using Pixi for reproducable environments\n\nFully utilizing OpenMDAO means relying on a number of third-party dependencies, notably [pyoptsparse](https://github.com/mdolab/pyoptsparse), [mpi4py](https://github.com/mpi4py/mpi4py), [petsc4py](https://pypi.org/project/petsc4py), [numpy](https://github.com/numpy/numpy), and [scipy](https://github.com/scipy/scipy). Keeping so many dependencies in sync can be a challenge. To help users, OpenMDAO uses pixi to maintain reproduceable environments. The goal of this is to ensure that users of a given OpenMDAO release can reproduce the environment against which that release was tested.\n\nStarting with version 3.42.0, OpenMDAO provides [Pixi](https://pixi.sh) environments for dependency management. Pixi is especially useful because some OpenMDAO dependencies (like MPI, PETSc) are not available on PyPI but are needed for parallel computing features.\n\nYou can read more about the using OpenMDAO's curated Pixi environments in the \"getting started\" section of our [documentation][2].\n\n## OpenMDAO Versions\n\n**OpenMDAO 3.x.y** represents the current, supported version. It requires Python 3.10\nor later and is maintained [here][4]. To upgrade to the latest release, run:\n\n    pip install --upgrade openmdao\n\n**OpenMDAO 2.10.x** was the last version to support Python 2.x and is no longer supported.\nTo install this older release, run:\n\n    pip install \"openmdao\u003c3\"\n\n**OpenMDAO 1.7.4** was an earlier version of OpenMDAO and is also no longer supported.\nThe code repository is now named **OpenMDAO1**, and has moved [here][5]. To install it, run:\n\n    pip install \"openmdao\u003c2\"\n\nThe legacy **OpenMDAO v0.x** (versions 0.13.0 and older) of the\n**OpenMDAO-Framework** are [here][6].\n\n## Test OpenMDAO\n\nUsers are encouraged to run the unit tests to ensure **OpenMDAO** is performing\ncorrectly.  In order to do so, you must install the testing dependencies.\n\n1. Install **OpenMDAO** and its testing dependencies:\n\n    `pip install openmdao[test]`\n\n    \u003e Alternatively, you can clone the repository, as explained\n    [here](#install-from-a-cloned-repository), and install the development\n    dependencies as described [here](#install-the-developer-dependencies).\n\n2. Run tests:\n\n    `testflo openmdao -n 1`\n\n3. If everything works correctly, you should see a message stating that there\nwere zero failures.  If the tests produce failures, you are encouraged to report\nthem as an [issue][7].  If so, please make sure you include your system spec,\nand include the error message.\n\n    \u003e If tests fail, please include your system information, you can obtain\n    that by running the following commands in *python* and copying the results\n    produced by the last line.\n\n        import platform, sys\n\n        info = platform.uname()\n        (info.system, info.version), (info.machine, info.processor), sys.version\n\n    \u003e Which should produce a result similar to:\n\n        (('Windows', '10.0.17134'),\n         ('AMD64', 'Intel64 Family 6 Model 94 Stepping 3, GenuineIntel'),\n         '3.6.6 | packaged by conda-forge | (default, Jul 26 2018, 11:48:23) ...')\n\n## Build the Documentation for OpenMDAO\n\nDocumentation for the latest version can always be found [here][2], but if you would like to build a local copy you can find instructions to do so [here][19].\n\n[0]: http://openmdao.org/ \"OpenMDAO\"\n[1]: https://pypi.org/project/openmdao/ \"OpenMDAO @PyPI\"\n\n[2]: http://openmdao.org/newdocs/versions/latest \"Latest Docs\"\n[3]: http://openmdao.org/docs \"Archived Docs\"\n\n[4]: https://github.com/OpenMDAO/OpenMDAO \"OpenMDAO Git Repo\"\n[5]: https://github.com/OpenMDAO/OpenMDAO1 \"OpenMDAO 1.x Git Repo\"\n[6]: https://github.com/OpenMDAO/OpenMDAO-Framework \"OpenMDAO Framework Git Repo\"\n\n[7]: https://github.com/OpenMDAO/OpenMDAO/issues/new \"Make New OpenMDAO Issue\"\n\n[8]: https://help.github.com/articles/changing-a-remote-s-url/ \"Update Git Remote URL\"\n\n[10]: https://badge.fury.io/py/openmdao.svg \"PyPI Version\"\n[11]: https://badge.fury.io/py/openmdao \"OpenMDAO @PyPI\"\n\n[12]: https://img.shields.io/pypi/dm/openmdao \"PyPI Monthly Downloads\"\n\n[13]: https://coveralls.io/repos/github/OpenMDAO/OpenMDAO/badge.svg?branch=master \"Coverage Badge\"\n[14]: https://coveralls.io/github/OpenMDAO/OpenMDAO?branch=master \"OpenMDAO @Coveralls\"\n\n[15]: https://en.wikipedia.org/wiki/Software_release_life_cycle#Beta \"Wikipedia Beta\"\n\n[16]: https://setuptools.readthedocs.io/en/latest/setuptools.html#development-mode \"Pip Editable Mode\"\n\n[17]: https://github.com/OpenMDAO/OpenMDAO/actions/workflows/openmdao_test_workflow.yml/badge.svg \"Github Actions Badge\"\n[18]: https://github.com/OpenMDAO/OpenMDAO/actions \"Github Actions\"\n\n[19]: http://openmdao.org/newdocs/versions/latest/other_useful_docs/developer_docs/doc_build.html\n\n[20]: https://openmdao.org/newdocs/versions/latest/other/citing.html\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopenmdao%2Fopenmdao","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fopenmdao%2Fopenmdao","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopenmdao%2Fopenmdao/lists"}