Combining conda environment.yml with pip requirements.txt

Pip dependencies can be included in the environment.yml file like this (docs):

# run: conda env create --file environment.yml
name: test-env
dependencies:
- python>=3.5
- anaconda
- pip
- numpy=1.13.3  # pin version for conda
- pip:
  # works for regular pip packages
  - docx
  - gooey
  - matplotlib==2.0.0  # pin version for pip
  # and for wheels
  - http://www.lfd.uci.edu/~gohlke/pythonlibs/bofhrmxk/opencv_python-3.1.0-cp35-none-win_amd64.whl

It also works for .whl files in the same directory (see Dengar's answer) as well as with common pip packages.

One can also use the requirements.txt directly in the YAML. For example,

name: test-env
dependencies:
  - python>=3.5
  - anaconda
  - pip
  - pip:
    - -r requirements.txt

Basically, any option you can run with pip install you can run in a YAML. See the Advanced Pip Example for a showcase of other capabilities.

Important Note

A previous version of this answer (and Conda's Advanced Pip Example) used a substandard file URI syntax:

    - -r file:requirements.txt

Pip v21.2.1 introduced stricter behavior for URI parsing and no longer supports this. See this answer for details.

Just want to add that adding a wheel in the directory also works. I was getting this error when using the entire URL:

HTTP error 404 while getting http://www.lfd.uci.edu/~gohlke/pythonlibs/f9r7rmd8/opencv_python-3.1.0-cp35-none-win_amd64.whl

Ended up downloading the wheel and saving it into the same directory as the yml file.

name: test-env
dependencies:
- python>=3.5
- anaconda
- pip
- pip:
  - opencv_python-3.1.0-cp35-none-win_amd64.whl

If you want to do it automatically it seems that if you do:

conda env export > environment.yml`

already has the pip things you need. No need to run pip freeze > requirements4pip.txt separately for me or include it as an

  - pip:
    - -r file:requirements.txt

as another answer mentioned.

See my yml file:

$ cat environment.yml
name: myenv
channels:
  - pytorch
  - dglteam
  - defaults
  - conda-forge
dependencies:
  - _libgcc_mutex=0.1=main
  - absl-py=0.12.0=py38h06a4308_0
  - aiohttp=3.7.4=py38h27cfd23_1
  - async-timeout=3.0.1=py38h06a4308_0
  - attrs=20.3.0=pyhd3eb1b0_0
  - beautifulsoup4=4.9.3=pyha847dfd_0
  - blas=1.0=mkl
  - blinker=1.4=py38h06a4308_0
  - brotlipy=0.7.0=py38h27cfd23_1003
  - bzip2=1.0.8=h7b6447c_0
  - c-ares=1.17.1=h27cfd23_0
  - ca-certificates=2021.4.13=h06a4308_1
  - cachetools=4.2.1=pyhd3eb1b0_0
  - cairo=1.14.12=h8948797_3
  - certifi=2020.12.5=py38h06a4308_0
  - cffi=1.14.0=py38h2e261b9_0
  - chardet=3.0.4=py38h06a4308_1003
  - click=7.1.2=pyhd3eb1b0_0
  - conda=4.10.1=py38h06a4308_1
  - conda-build=3.21.4=py38h06a4308_0
  - conda-package-handling=1.7.3=py38h27cfd23_1
  - coverage=5.5=py38h27cfd23_2
  - cryptography=3.4.7=py38hd23ed53_0
  - cudatoolkit=11.0.221=h6bb024c_0
  - cycler=0.10.0=py38_0
  - cython=0.29.23=py38h2531618_0
  - dbus=1.13.18=hb2f20db_0
  - decorator=4.4.2=pyhd3eb1b0_0
  - dgl-cuda11.0=0.6.1=py38_0
  - dill=0.3.3=pyhd3eb1b0_0
  - expat=2.3.0=h2531618_2
  - filelock=3.0.12=pyhd3eb1b0_1
  - fontconfig=2.13.1=h6c09931_0
  - freetype=2.10.4=h7ca028e_0
  - fribidi=1.0.10=h7b6447c_0
  - gettext=0.21.0=hf68c758_0
  - glib=2.66.3=h58526e2_0
  - glob2=0.7=pyhd3eb1b0_0
  - google-auth=1.29.0=pyhd3eb1b0_0
  - google-auth-oauthlib=0.4.4=pyhd3eb1b0_0
  - graphite2=1.3.14=h23475e2_0
  - graphviz=2.40.1=h21bd128_2
  - grpcio=1.36.1=py38h2157cd5_1
  - gst-plugins-base=1.14.0=h8213a91_2
  - gstreamer=1.14.0=h28cd5cc_2
  - harfbuzz=1.8.8=hffaf4a1_0
  - icu=58.2=he6710b0_3
  - idna=2.10=pyhd3eb1b0_0
  - importlib-metadata=3.10.0=py38h06a4308_0
  - intel-openmp=2021.2.0=h06a4308_610
  - jinja2=2.11.3=pyhd3eb1b0_0
  - joblib=1.0.1=pyhd3eb1b0_0
  - jpeg=9b=h024ee3a_2
  - kiwisolver=1.3.1=py38h2531618_0
  - lcms2=2.12=h3be6417_0
  - ld_impl_linux-64=2.33.1=h53a641e_7
  - libarchive=3.4.2=h62408e4_0
  - libffi=3.2.1=hf484d3e_1007
  - libgcc-ng=9.1.0=hdf63c60_0
  - libgfortran-ng=7.3.0=hdf63c60_0
  - libglib=2.66.3=hbe7bbb4_0
  - libiconv=1.16=h516909a_0
  - liblief=0.10.1=he6710b0_0
  - libpng=1.6.37=h21135ba_2
  - libprotobuf=3.14.0=h8c45485_0
  - libstdcxx-ng=9.1.0=hdf63c60_0
  - libtiff=4.1.0=h2733197_1
  - libuuid=1.0.3=h1bed415_2
  - libuv=1.40.0=h7b6447c_0
  - libxcb=1.14=h7b6447c_0
  - libxml2=2.9.10=hb55368b_3
  - lz4-c=1.9.2=he1b5a44_3
  - markdown=3.3.4=py38h06a4308_0
  - markupsafe=1.1.1=py38h7b6447c_0
  - matplotlib=3.3.4=py38h06a4308_0
  - matplotlib-base=3.3.4=py38h62a2d02_0
  - mkl=2020.2=256
  - mkl-service=2.3.0=py38h1e0a361_2
  - mkl_fft=1.3.0=py38h54f3939_0
  - mkl_random=1.2.0=py38hc5bc63f_1
  - multidict=5.1.0=py38h27cfd23_2
  - ncurses=6.2=he6710b0_1
  - networkx=2.5.1=pyhd3eb1b0_0
  - ninja=1.10.2=hff7bd54_1
  - numpy=1.19.2=py38h54aff64_0
  - numpy-base=1.19.2=py38hfa32c7d_0
  - oauthlib=3.1.0=py_0
  - olefile=0.46=pyh9f0ad1d_1
  - openssl=1.1.1k=h27cfd23_0
  - pandas=1.2.4=py38h2531618_0
  - pango=1.42.4=h049681c_0
  - patchelf=0.12=h2531618_1
  - pcre=8.44=he6710b0_0
  - pillow=8.2.0=py38he98fc37_0
  - pip=21.0.1=py38h06a4308_0
  - pixman=0.40.0=h7b6447c_0
  - pkginfo=1.7.0=py38h06a4308_0
  - protobuf=3.14.0=py38h2531618_1
  - psutil=5.8.0=py38h27cfd23_1
  - py-lief=0.10.1=py38h403a769_0
  - pyasn1=0.4.8=py_0
  - pyasn1-modules=0.2.8=py_0
  - pycosat=0.6.3=py38h7b6447c_1
  - pycparser=2.20=py_2
  - pyjwt=2.0.1=pyhd8ed1ab_1
  - pyopenssl=20.0.1=pyhd3eb1b0_1
  - pyparsing=2.4.7=pyhd3eb1b0_0
  - pyqt=5.9.2=py38h05f1152_4
  - pysocks=1.7.1=py38h06a4308_0
  - python=3.8.2=hcf32534_0
  - python-dateutil=2.8.1=pyhd3eb1b0_0
  - python-libarchive-c=2.9=pyhd3eb1b0_1
  - python_abi=3.8=1_cp38
  - pytorch=1.7.1=py3.8_cuda11.0.221_cudnn8.0.5_0
  - pytz=2021.1=pyhd3eb1b0_0
  - pyyaml=5.4.1=py38h27cfd23_1
  - qt=5.9.7=h5867ecd_1
  - readline=8.1=h27cfd23_0
  - requests=2.25.1=pyhd3eb1b0_0
  - requests-oauthlib=1.3.0=py_0
  - ripgrep=12.1.1=0
  - rsa=4.7.2=pyhd3eb1b0_1
  - ruamel_yaml=0.15.100=py38h27cfd23_0
  - scikit-learn=0.24.1=py38ha9443f7_0
  - scipy=1.6.2=py38h91f5cce_0
  - setuptools=52.0.0=py38h06a4308_0
  - sip=4.19.13=py38he6710b0_0
  - six=1.15.0=pyh9f0ad1d_0
  - soupsieve=2.2.1=pyhd3eb1b0_0
  - sqlite=3.35.4=hdfb4753_0
  - tensorboard=2.4.0=pyhc547734_0
  - tensorboard-plugin-wit=1.6.0=py_0
  - threadpoolctl=2.1.0=pyh5ca1d4c_0
  - tk=8.6.10=hbc83047_0
  - torchaudio=0.7.2=py38
  - torchtext=0.8.1=py38
  - torchvision=0.8.2=py38_cu110
  - tornado=6.1=py38h27cfd23_0
  - typing-extensions=3.7.4.3=0
  - typing_extensions=3.7.4.3=py_0
  - urllib3=1.26.4=pyhd3eb1b0_0
  - werkzeug=1.0.1=pyhd3eb1b0_0
  - wheel=0.36.2=pyhd3eb1b0_0
  - xz=5.2.5=h7b6447c_0
  - yaml=0.2.5=h7b6447c_0
  - yarl=1.6.3=py38h27cfd23_0
  - zipp=3.4.1=pyhd3eb1b0_0
  - zlib=1.2.11=h7b6447c_3
  - zstd=1.4.5=h9ceee32_0
  - pip:
    - aioconsole==0.3.1
    - lark-parser==0.6.5
    - lmdb==0.94
    - pexpect==4.6.0
    - progressbar2==3.39.3
    - ptyprocess==0.7.0
    - pycapnp==1.0.0
    - python-utils==2.5.6
    - sexpdata==0.0.3
    - tqdm==4.56.0
prefix: /home/miranda9/miniconda3/envs/myenv

note that at the time of this writing doing conda env create --file environment.yml to create the yml env results in an error:

$ conda env create --file environment.yml

CondaValueError: prefix already exists: /home/miranda9/miniconda3/envs/myenv

Combining conda environment.yml with pip requirements.txt

Important Note

Tags:

Python

Pip

Anaconda

Conda

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