conda-env-export 0.5.0

Export conda env dependencies and pip requirements to ONE yml file.

Conda Env Export

Export conda env dependencies and pip requirements to ONE yml file.

• Free software: MIT license

• Documentation: https://conda-env-export.readthedocs.io.

Features

• Easy to use

• Flexible options to export

• Support Windows, Linux, and Mac

• Remove duplicated packages automatically

Usage

To use Conda Env Export in a project:

import conda_env_export

To use Conda Env Export in a terminal:

$ conda-env-export --help
Usage: conda-env-export [OPTIONS]

Options:
  -n, --name TEXT           Name of environment  [default: `{activated}`]
  --conda-all               Output all conda deps  [default: False]
  --pip-all                 Output all pip deps  [default: False]
  --separate                Output to separate files  [default: False]
  --reserve-duplicates      Reserve duplicates  [default: False]
  --include TEXT            Force to include deps (ignore case)
  --exclude TEXT            Force to exclude deps (ignore case)
  --extra-pip-requirements  Output an extra `requirements.txt`  [default: False]
  --no-prefix               Remove `prefix` in target yml file  [default: False]
  --to-folder DIRECTORY     Where to output the file(s)  [default: ./]
  --to-file FILE            Filename of the output yml file  [default: `{activated}`]
  --help                    Show this message and exit.

[RECOMMEND]

Export current activated env, just run:

$ conda-env-export

[RECOMMEND]

Export a named env, e.g. py37, run:

$ conda-env-export -n py37

[RECOMMEND]

Export current activated env to separate files (activated.yml and requirements.txt), just run:

$ conda-env-export --separate

NOTE: –separate is different from –extra-pip-requirements in the output yml file, where the yml from –separate doesn’t explicitly list pip dependencies. It will use -r requirements.txt instead.

[RECOMMEND]

Export current activated env and output an EXTRA pip requirements file, just run:

$ conda-env-export --extra-pip-requirements

WHY: Sometimes it’ll fail to install some pip deps when executing conda env create -f env.yml, so it’s much more convenient to install pip deps via pip install -r requirements.txt rather than conda env update -f env.yml –prune.

Export a named env and ensure that output MUST include pip and PyYAML, run:

$ conda-env-export -n py37 --include pip --include pyyaml

Export a named env and ensure that output MUST exclude pip and PyYAML, run:

$ conda-env-export -n py37 --exclude pip --exclude pyyaml

Export with all conda deps and all pip deps of py37

$ conda-env-export -n py37 --conda-all --pip-all

Export with all conda deps and all pip deps of py37, and DO NOT remove duplicates

$ conda-env-export -n py37 --conda-all --pip-all --reserve-duplicates

Note: The operation of remove duplicates refers to remove those deps in pip, which are already in conda deps.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.5.0 (2024-02-05)

• Fix https://github.com/luffy-yu/conda_env_export/issues/5 and https://github.com/luffy-yu/conda_env_export/issues/6

0.4.5 (2022-07-26)

• Fix https://github.com/luffy-yu/conda_env_export/issues/3 and https://github.com/luffy-yu/conda_env_export/issues/4

0.4.4 (2022-07-18)

• Fix https://github.com/luffy-yu/conda_env_export/issues/2

0.4.3 (2021-12-20)

• Add python output in conda section

0.4.2 (2021-12-18)

• Fix bugs in Windows

0.4.1 (2021-12-17)

• Replace f’{}’ with ‘’%

0.4.0 (2021-12-17)

• MAJOR UPDATE: Support Windows

0.3.2 (2021-04-14)

• Add option: no-prefix.

0.3.1 (2021-03-07)

• Update document.

0.3.0 (2021-03-07)

• Add options: include and exclude.

• Add option: extra-pip-requirements.

0.2.2 (2020-12-19)

• Update document.

0.2.1 (2020-12-18)

• Specify pip version.

0.2.0 (2020-12-05)

• Refactor.

0.1.4 (2020-11-30)

• Specify pyyaml verison.

0.1.3 (2020-11-29)

• Fix typo.

0.1.2 (2020-11-29)

• Overwrite PyPI verison.

0.1.1 (2020-11-29)

• Update documents.

0.1.0 (2020-11-29)

• First release on PyPI.