Anaconda Enterprise, which provides on-site enterprise package and environment management for Python, R, Node.js, Java, and other application stacks. Conda is also available on conda-forge, a community channel solver needs a way to prioritize some packages over others. We achieve that with an older conda feature called track_features that originally served a different purpose. Track_features One of conda’s is a catch, though: any track_features must be unique. No two packages can provide the same track_feature. For this reason, our standard practice is to attach track_features to the metapackage associated

Anaconda Enterprise, which provides on-site enterprise package and environment management for Python, R, Node.js, Java, and other application stacks. Conda is also available on conda-forge, a community channel solver needs a way to prioritize some packages over others. We achieve that with an older conda feature called track_features that originally served a different purpose. Track_features One of conda’s is a catch, though: any track_features must be unique. No two packages can provide the same track_feature. For this reason, our standard practice is to attach track_features to the metapackage associated

channels new_channel Strict channel priority As of version 4.6.0, Conda has a strict channel priority feature. Strict channel priority can dramatically speed up conda operations and also reduce package incompatibility conda list. Instead conda runs a small bit of code to detect the presence or absence of the system feature that corresponds to the package. The currently supported list of virtual packages includes: • __cuda: The conda 4.6.0 release added improved support for interoperability between conda and pip. This feature is still exper- imental and is therefore off by default. With this interoperability, conda can use

channels new_channel Strict channel priority As of version 4.6.0, Conda has a strict channel priority feature. Strict channel priority can dramatically speed up conda operations and also reduce package incompatibility conda list. Instead conda runs a small bit of code to detect the presence or absence of the system feature that corresponds to the package. The currently supported list of virtual packages includes: • __cuda: The conda 4.6.0 release added improved support for interoperability between conda and pip. This feature is still exper- imental and is therefore off by default. With this interoperability, conda can use

channels new_channel Strict channel priority As of version 4.6.0, Conda has a strict channel priority feature. Strict channel priority can dramatically speed up conda operations and also reduce package incompatibility conda list. Instead conda runs a small bit of code to detect the presence or absence of the system feature that corresponds to the package. The currently supported list of virtual packages includes: • __cuda: The conda 4.6.0 release added improved support for interoperability between conda and pip. This feature is still exper- imental and is therefore off by default. With this interoperability, conda can use

channels new_channel Strict channel priority As of version 4.6.0, Conda has a strict channel priority feature. Strict channel priority can dramatically speed up conda operations and also reduce package incompatibility conda list. Instead conda runs a small bit of code to detect the presence or absence of the system feature that corresponds to the package. The currently supported list of virtual packages includes: • __cuda: The conda 4.6.0 release added improved support for interoperability between conda and pip. This feature is still exper- imental and is therefore off by default. With this interoperability, conda can use

Release 24.7.1 Strict channel priority As of version 4.6.0, Conda has a strict channel priority feature. Strict channel priority can dramatically speed up conda operations and also reduce package incompatibility conda list. Instead conda runs a small bit of code to detect the presence or absence of the system feature that corresponds to the package. The currently supported list of virtual packages includes: • __cuda: The conda 4.6.0 release added improved support for interoperability between conda and pip. This feature is still exper- imental and is therefore off by default. With this interoperability, conda can use

channels new_channel Strict channel priority As of version 4.6.0, Conda has a strict channel priority feature. Strict channel priority can dramatically speed up conda operations and also reduce package incompatibility conda list. Instead conda runs a small bit of code to detect the presence or absence of the system feature that corresponds to the package. The currently supported list of virtual packages includes: • __cuda: The conda 4.6.0 release added improved support for interoperability between conda and pip. This feature is still exper- imental and is therefore off by default. With this interoperability, conda can use

channels new_channel Strict channel priority As of version 4.6.0, Conda has a strict channel priority feature. Strict channel priority can dramatically speed up conda operations and also reduce package incompatibility conda list. Instead conda runs a small bit of code to detect the presence or absence of the system feature that corresponds to the package. The currently supported list of virtual packages includes: • __cuda: The conda 4.6.0 release added improved support for interoperability between conda and pip. This feature is still exper- imental and is therefore off by default. With this interoperability, conda can use

channels new_channel Strict channel priority As of version 4.6.0, Conda has a strict channel priority feature. Strict channel priority can dramatically speed up conda operations and also reduce package incompatibility conda list. Instead conda runs a small bit of code to detect the presence or absence of the system feature that corresponds to the package. The currently supported list of virtual packages includes: • __cuda: The conda 4.6.0 release added improved support for interoperability between conda and pip. This feature is still exper- imental and is therefore off by default. With this interoperability, conda can use