获取在阿纳康达安装的软件包列表

in terminal, type : conda list to obtain the packages installed using conda.

for the packages that pip recognizes, type : pip list

There may be some overlap of these lists as pip may recognize packages installed by conda (but maybe not the other way around, IDK).

There is a useful source here, including how to update or upgrade packages..

To list all of the packages in the active environment, use:

conda list

To list all of the packages in a deactivated environment, use:

conda list -n myenv

To check if a specific package is installed:

conda list html5lib

which outputs something like this if installed:

# packages in environment at C:\ProgramData\Anaconda3:
#
# Name                    Version                   Build  Channel
html5lib                  1.0.1                    py37_0

or something like this if not installed:

# packages in environment at C:\ProgramData\Anaconda3:
#
# Name                    Version                   Build  Channel

you don't need to type the exact package name. Partial matches are supported:

conda list html

This outputs all installed packages containing 'html':

# packages in environment at C:\ProgramData\Anaconda3:
#
# Name                    Version                   Build  Channel
html5lib                  1.0.1                    py37_0
sphinxcontrib-htmlhelp    1.0.2                      py_0
sphinxcontrib-serializinghtml 1.1.3                      py_0

For script creation at Windows cmd or powershell prompt:

C:\ProgramData\Anaconda3\Scripts\activate.bat C:\ProgramData\Anaconda3
conda list
pip list

For more conda list usage details:

usage: conda-script.py list [-h][-n ENVIRONMENT | -p PATH][--json] [-v] [-q]
[--show-channel-urls] [-c] [-f] [--explicit][--md5] [-e] [-r] [--no-pip][regex]

To list all of the packages in the active environment in a format that resembles pip freeze:

conda env export

Example of output:

name: pytorch
channels:
- pytorch
- anaconda
- conda-forge
- defaults
dependencies:
- python=3.8.5=h7579374_1
- python_abi=3.8=1_cp38
- pytorch=1.7.1=py3.8_cuda11.0.221_cudnn8.0.5_0
- pytorch-lightning=1.1.4=pyhd8ed1ab_0
- tensorboard=2.4.0=pyhd8ed1ab_0
- pip:
- bert-score==0.3.7
- tokenizers==0.9.4
- transformers==4.2.1
prefix: /home/franck/anaconda3/envs/pytorch

You can save the environment and re-create and/or reactivate it:

# Save the environment
conda env export > my_conda_env.yml


# Re-create the environment
conda env create --file my_conda_env.yml


# Reactivate the environment
conda activate pytorch

You can see what conda has installed from the history file in your conda environments meta directory. It's located in $ENV_PATH/conda-meta/history. This will tell you the commands that have run for that environment so should list the explicit specs that you directly installed

https://github.com/conda/conda/issues/8986#issuecomment-572736603

Just have a look for the lines starting with "# cmd:" which further contain "install". For Windows the path to the history file may start with %env_path% instead of $ENV_PATH.