{"data":{"slug":"conda-conda","name":"conda","tagline":"A system-level, binary package and environment manager running on all major operating systems and platforms.","github_url":"https://github.com/conda/conda","owner":"conda","repo":"conda","owner_avatar_url":"https://avatars.githubusercontent.com/u/6392739?v=4","primary_language":"Python","stars":7507,"forks":2223,"topics":["conda","package-management","python"],"archived":false,"github_pushed_at":"2026-09-18T00:42:43+00:00","maintenance_label":"Very active","stars_delta_30d":29,"url":"https://www.graphcanon.com/tools/conda-conda","markdown_url":"https://www.graphcanon.com/tools/conda-conda.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/conda-conda","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=conda-conda","description":"A system-level, binary package and environment manager running on all major operating systems and platforms.","homepage_url":"https://docs.conda.io/projects/conda/","license":"Other","open_issues":663,"watchers":180,"ai_summary":"Conda is a package and environment manager for Python, enabling efficient creation and management of environments for various projects, including those involving AI development.","readme_excerpt":"## Installation\n\nTo bootstrap a minimal distribution, use a minimal installer such as [Miniconda](https://docs.anaconda.com/free/miniconda/) or [Miniforge](https://conda-forge.org/download/).\n\nConda is also included in the [Anaconda Distribution](https://repo.anaconda.com).\n\n---\n\n## Getting Started\n\nIf you install the Anaconda Distribution, you will already have hundreds of packages\ninstalled. You can see what packages are installed by running:\n\n```bash\n$ conda list\n```\n\nto see all the packages that are available, use:\n\n```bash\n$ conda search\n```\n\nand to install a package, use\n\n```bash\n$ conda install <package-name>\n```\n\nThe real power of conda comes from its ability to manage environments.\nIn conda, an environment can be thought of as a completely separate installation.\nConda installs packages into environments efficiently using [hard links](https://en.wikipedia.org/wiki/Hard_link) by default when it is possible, so\nenvironments are space efficient, and take seconds to create.\n\nThe default environment, which `conda` itself is installed into, is called `base`.\nTo create another environment, use the `conda create` command.\nFor instance, to create an environment with PyTorch, you would run:\n\n```bash\n$ conda create --name ml-project pytorch\n```\n\nThis creates an environment called `ml-project` with the latest version of PyTorch, and its dependencies.\n\nWe can now activate this environment:\n\n```bash\n$ conda activate ml-project\n```\n\nThis puts the `bin` directory of the `ml-project` environment in the front of the `PATH`,\nand sets it as the default environment for all subsequent conda commands.\n\nTo go back to the base environment, use:\n\n```bash\n$ conda deactivate\n```","github_created_at":"2012-10-15T22:08:03+00:00","created_at":"2026-07-11T23:21:10.342491+00:00","updated_at":"2026-09-20T04:31:41.873348+00:00","categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"}],"tags":[{"slug":"conda","name":"conda"},{"slug":"package-management","name":"package-management"},{"slug":"python","name":"python"}],"trust":{"provenance":{"is_fork":false,"github_id":6235174,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-18T08:33:44.266Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":3,"days_since_push":0,"last_release_at":"2026-09-04T13:35:58Z","stars_delta_30d":29,"open_issues_delta_30d":-7},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-09-18T08:33:45.946Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-18T08:33:43.149Z"},"has_cli":{"value":true,"source":"pyproject.toml:[project.scripts]","observed_at":"2026-09-18T08:33:43.149Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-09-18T08:33:43.149Z"},"license_spdx":{"value":"Other","source":"github.license","observed_at":"2026-09-18T08:33:43.149Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you need a tool that can manage environments efficiently using hard links, making environments space efficient and quick to create.","If you are working on projects that require specific versions of Python or packages that might conflict with other projects, conda allows you to isolate these dependencies in separate environments.","When you require a system-level package manager that runs on all major operating systems and platforms, ensuring consistency across different development environments."],"when_not_to_use":["If you are looking for a lightweight solution and do not need the extensive package management features, conda might be overkill.","When your project strictly requires the latest versions of packages that are not yet available in the conda repositories, you might prefer pip for more immediate access to updates.","If you are working in a highly restricted environment where the installation of large distributions like Anaconda is not allowed, conda might not be the best choice."],"source":"enrich:decision_facts","observed_at":"2026-09-18T10:38:00.801Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Conda is a versatile package and environment manager for Python, suitable for managing environments across different projects, including AI development."}]}}