Metadata-Version: 2.1 Name: conda Version: 23.9.0 Summary: OS-agnostic, system-level binary package manager. Project-URL: changelog, https://github.com/conda/conda/blob/main/CHANGELOG.md Project-URL: documentation, https://docs.conda.io/projects/conda/en/stable/ Project-URL: repository, https://github.com/conda/conda Author-email: "Anaconda, Inc." License: BSD 3-Clause License Copyright (c) 2012, Anaconda, Inc. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. --- Conda incorporates the following libraries into its distributed code: * appdirs, licensed as MIT * auxlib, licensed as ISC * boltons, licensed as BSD-3-Clause * py-cpuinfo, licensed as MIT * distro, licensed as Apache-2.0 * frozendict, license as LGPL-3.0 * tqdm, licensed as MIT License-File: AUTHORS.md License-File: LICENSE Classifier: Development Status :: 5 - Production/Stable Classifier: Intended Audience :: Developers Classifier: License :: OSI Approved :: BSD License Classifier: Operating System :: OS Independent Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3 :: Only Classifier: Programming Language :: Python :: 3.8 Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Classifier: Programming Language :: Python :: Implementation :: CPython Classifier: Programming Language :: Python :: Implementation :: PyPy Requires-Python: >=3.8 Requires-Dist: boltons>=23.0.0 Requires-Dist: conda-package-handling>=1.3.0 Requires-Dist: jsonpatch>=1.32 Requires-Dist: menuinst<2,>=1.4.11; platform_system == 'Windows' Requires-Dist: packaging Requires-Dist: pluggy>=1.0.0 Requires-Dist: pycosat>=0.6.3 Requires-Dist: pyopenssl>=16.2.0 Requires-Dist: requests<3,>=2.27.0 Requires-Dist: ruamel-yaml<0.18,>=0.11.14 Requires-Dist: setuptools>=60.0.0 Requires-Dist: tqdm>=4 Requires-Dist: truststore>=0.8.0; python_version >= '3.10' Description-Content-Type: text/markdown [conda-logo]: https://s3.amazonaws.com/conda-dev/conda_logo.svg [tests-badge]: https://github.com/conda/conda/actions/workflows/tests.yml/badge.svg [images-badge]: https://github.com/conda/conda/actions/workflows/images.yml/badge.svg [codecov-badge]: https://img.shields.io/codecov/c/github/conda/conda/main.svg?label=coverage [release-badge]: https://img.shields.io/github/release/conda/conda.svg [gitpod]: https://gitpod.io/button/open-in-gitpod.svg [![Conda Logo][conda-logo]](https://github.com/conda/conda) [![Tests (GitHub Actions)][tests-badge]](https://github.com/conda/conda/actions/workflows/tests.yml) [![Images (GitHub Actions)][images-badge]](https://github.com/conda/conda/actions/workflows/images.yml) [![Codecov Status][codecov-badge]](https://codecov.io/gh/conda/conda/branch/main) [![latest release version][release-badge]](https://github.com/conda/conda/releases) Conda is a cross-platform, language-agnostic binary package manager. It is the package manager used by [Anaconda](https://www.anaconda.com/distribution/) installations, but it may be used for other systems as well. Conda makes environments first-class citizens, making it easy to create independent environments even for C libraries. Conda is written entirely in Python, and is BSD licensed open source. Conda is enhanced by organizations, tools, and repositories created and managed by the amazing members of the conda community. Some of them can be found [here](https://github.com/conda/conda/wiki/Conda-Community). ## Installation Conda is a part of the [Anaconda Distribution](https://repo.anaconda.com). Use [Miniconda](https://docs.conda.io/en/latest/miniconda.html) to bootstrap a minimal installation that only includes conda and its dependencies. ## Getting Started If you install the Anaconda Distribution, you will already have hundreds of packages installed. You can see what packages are installed by running ```bash $ conda list ``` to see all the packages that are available, use ```bash $ conda search ``` and to install a package, use ```bash $ conda install ``` The real power of conda comes from its ability to manage environments. In conda, an environment can be thought of as a completely separate installation. Conda installs packages into environments efficiently using [hard links](https://en.wikipedia.org/wiki/Hard_link) by default when it is possible, so environments are space efficient, and take seconds to create. The default environment, which `conda` itself is installed into, is called `base`. To create another environment, use the `conda create` command. For instance, to create an environment with PyTorch, you would run: ```bash $ conda create --name ml-project pytorch ``` This creates an environment called `ml-project` with the latest version of PyTorch, and its dependencies. We can now activate this environment: ```bash $ conda activate ml-project ``` This puts the `bin` directory of the `ml-project` environment in the front of the `PATH`, and sets it as the default environment for all subsequent conda commands. To go back to the base environment, use ```bash $ conda deactivate ``` ## Building Your Own Packages You can easily build your own packages for conda, and upload them to [anaconda.org](https://anaconda.org), a free service for hosting packages for conda, as well as other package managers. To build a package, create a recipe. Package building documentation is available [here](https://docs.conda.io/projects/conda-build/en/latest/). See [AnacondaRecipes](https://github.com/AnacondaRecipes) for the recipes that make up the Anaconda Distribution and `defaults` channel. [Conda-forge](https://conda-forge.org/feedstocks/) and [Bioconda](https://github.com/bioconda/bioconda-recipes) are community-driven conda-based distributions. To upload to anaconda.org, create an account. Then, install the anaconda-client and login ```bash $ conda install anaconda-client $ anaconda login ``` Then, after you build your recipe ```bash $ conda build ``` you will be prompted to upload to anaconda.org. To add your anaconda.org channel, or other's channels, to conda so that `conda install` will find and install their packages, run ```bash $ conda config --add channels https://conda.anaconda.org/username ``` (replacing `username` with the username of the person whose channel you want to add). ## Getting Help - [Documentation](https://docs.conda.io/projects/conda/en/latest) - [Twitter](https://twitter.com/condaproject) - [Slack](https://conda.slack.com) - [Bug Reports/Feature Requests](https://github.com/conda/conda/issues) - [Installer/Package Issues](https://github.com/ContinuumIO/anaconda-issues/issues) - [Discourse](https://conda.discourse.group/) ## Contributing [![open in gitpod for one-click development][gitpod]](https://gitpod.io/#https://github.com/conda/conda) Contributions to conda are welcome. See the [contributing](CONTRIBUTING.md) documentation for instructions on setting up a development environment.