Install from conda-forge#

SageMath can be installed on Linux and macOS via Conda from the conda-forge conda channel.

Both the x86_64 (Intel) architecture and the arm64/aarch64 architectures (including Apple Silicon, M1) are supported.

You will need a working Conda installation: either Miniforge (or Mambaforge), Miniconda or Anaconda. If you don’t have one yet, we recommend installing Miniforge as follows. In a terminal,

$ curl -L -O "https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-$(uname)-$(uname -m).sh"
$ bash Miniforge3-$(uname)-$(uname -m).sh

  • Miniforge (and Mambaforge) use conda-forge as the default channel.

  • If you are using Miniconda or Anaconda, set it up to use conda-forge:

    • Add the conda-forge channel: conda config --add channels conda-forge

    • Change channel priority to strict: conda config --set channel_priority strict

If you installed Miniforge (or Mambaforge), we recommend to use mamba in the following, which uses a faster dependency solver than conda.

Installing all of SageMath from conda (not for development)#

Create a new conda environment containing SageMath, either with mamba or conda:

$ mamba create -n sage sage python=X

$ conda create -n sage sage python=X

where X is version of Python, e.g. 3.9.

To use Sage from there,

  • Enter the new environment: conda activate sage

  • Start SageMath: sage

If there are any installation failures, please report them to the conda-forge maintainers by opening a GitHub Issue for conda-forge/sage-feedstock.

Using conda to provide system packages for the Sage distribution#

If Conda is installed (check by typing conda info), one can install SageMath from source as follows:

  • Create a new conda environment including all standard packages recognized by sage, and activate it:

    $ conda env create --file environment-3.11-linux.yml --name sage-build
$ conda activate sage-build

    If you use a different architecture, replace linux by macos. Alternatively, use environment-optional-3.11-linux.yml in place of environment-3.11-linux.yml to create an environment with all standard and optional packages recognized by sage.

    A different Python version can be selected by replacing 3.11 by 3.9 or 3.10 in these commands.

  • Then the SageMath distribution will be built using the compilers provided by Conda and using many packages installed by Conda:

    $ ./bootstrap
$ ./configure --with-python=$CONDA_PREFIX/bin/python \
              --prefix=$CONDA_PREFIX
$ make

Using conda to provide all dependencies for the Sage library#

You can build and install the Sage library from source, using conda to provide all of its dependencies. This bypasses most of the build system of the Sage distribution and is the fastest way to set up an environment for Sage development.

Here we assume that you are using a git checkout.

  • Optionally, set the build parallelism for the Sage library. Use whatever the meaningful value for your machine is - no more than the number of cores:

    $ export SAGE_NUM_THREADS=24

  • Create and activate a new conda environment with the dependencies of Sage and a few additional developer tools:

    .. tab:: mamba

  .. code-block:: shell

      $ mamba env create --file src/environment-dev-3.11-linux.yml --name sage-dev
      $ conda activate sage-dev

.. tab:: conda

  .. code-block:: shell

      $ conda env create --file src/environment-dev-3.11-linux.yml --name sage-dev
      $ conda activate sage-dev

    Alternatively, you can use src/environment-3.11-linux.yml or src/environment-optional-3.11-linux.yml, which will only install standard (and optional) packages without any additional developer tools.

    A different Python version can be selected by replacing 3.11 by 3.9 or 3.10 in these commands.

  • Bootstrap the source tree and install the build prerequisites and the Sage library:

    $ ./bootstrap
$ pip install --no-build-isolation --config-settings editable_mode=compat -v -v --editable ./src

    If you encounter any errors, try to install the sage-conf package first:

    $ pip install --no-build-isolation -v -v --editable ./pkgs/sage-conf_conda

    and then run the last command again.

  • Verify that Sage has been installed:

    $ sage -c 'print(version())'
SageMath version 10.2.beta4, Release Date: 2023-09-24

Note that make is not used at all. All dependencies (including all Python packages) are provided by conda.

Thus, you will get a working version of Sage much faster. However, note that this will invalidate the use of any Sage-the-distribution commands such as sage -i. Do not use them.

By using pip install --editable in the above steps, the Sage library is installed in editable mode. This means that when you only edit Python files, there is no need to rebuild the library; it suffices to restart Sage.

After editing any Cython files, rebuild the Sage library using:

$ pip install --no-build-isolation --config-settings editable_mode=compat -v -v --editable src

In order to update the conda environment later, you can run:

$ mamba env update --file src/environment-dev-3.11-linux.yml --name sage-dev

To build the documentation, use:

$ pip install --no-build-isolation -v -v --editable ./pkgs/sage-docbuild
$ sage --docbuild all html

Note

The switch --config-settings editable_mode=compat restores the legacy setuptools implementation of editable installations. Adventurous developers may omit this switch to try the modern, PEP-660 implementation of editable installations, see Issue #34209.

Note

You can update the conda lock files by running .github/workflows/conda-lock-update.py or by running conda-lock --platform linux-64 --filename src/environment-dev-3.11-linux.yml --lockfile src/environment-dev-3.11-linux.lock manually.