Installation steps
As of August 15, 2025, Anaconda has stopped building packages for Intel Mac computers (osx-64). Existing Intel (
MacOSX-x86_64) installers are still available at https://repo.anaconda.com/miniconda/ and the last Miniconda installer release for Intel Mac computers will be 25.7.x. For more information, see our blog on the end of Intel mac support.-
Download the latest
.shinstaller by opening a terminal and running the following command:curl -O https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.shFor instructions on downloading an older installer version, see Using older installer versions. - (Optional) Anaconda recommends verifying the integrity of the installer after downloading it.
-
Install by running the following:
bash ./Miniconda3-latest-MacOSX-arm64.sh - Press Return to review Miniconda’s End User License Agreement (EULA). You can view Anaconda’s Terms of Service (TOS) at https://www.anaconda.com/legal.
-
Enter
yesto agree to the EULA. -
Press Return to accept the default install location (
PREFIX=/Users/<USER>/miniconda3), or enter another file path to specify an alternate installation directory. The installation might take a few minutes to complete. -
Choose
yeswhen asked if you want to initialize conda. This modifies your shell configuration to initialize conda whenever you open a new shell and to recognize conda commands automatically. - The installer finishes and displays, “Thank you for installing Miniconda3!”
-
Close and re-open your terminal window for the installation to fully take effect, or use the following command to refresh the terminal:
source ~/.zshrcYou should see(base)in the command line prompt. This tells you that you’re in your base conda environment. To learn more about environments, see Environments.
Verify your install
Verify your installation by opening your terminal application and runningconda list. If conda has been installed correctly, a list of installed packages appears:
conda list
What’s next?
- Integrate conda with your preferred IDE to streamline package management directly in your development environment.
- Explore Working with conda to understand channels, environments, and package management workflows.
- The official conda documentation covers advanced topics like custom channels, build recipes, and performance optimization.
