Miniconda is a free minimal installer for conda. It is a small, bootstrap version of Anaconda that includes only conda, Python, the packages they depend on, and a small number of other useful packages, including pip, zlib and a few others. Use the conda install command to install 720+ additional conda packages from the Anaconda repository.

See if Miniconda is right for you.

System requirements

  • License: Free use and redistribution under the terms of the EULA for Miniconda.
  • Operating system: Windows 8 or newer, 64-bit macOS 10.13+, or Linux, including Ubuntu, RedHat, CentOS 7+, and others.
  • If your operating system is older than what is currently supported, you can find older versions of the Miniconda installers in our archive that might work for you.
  • System architecture: Windows- 64-bit x86, 32-bit x86; macOS- 64-bit x86 & Apple M1 (ARM64); Linux- 64-bit x86, 64-bit aarch64 (AWS Graviton2), 64-bit IBM Power8/Power9, s390x (Linux on IBM Z & LinuxONE).
  • The linux-aarch64 Miniconda installer requires glibc >=2.26 and thus will not work with CentOS 7, Ubuntu 16.04, or Debian 9 (“stretch”).
  • Minimum 400 MB disk space to download and install.

On Windows, macOS, and Linux, it is best to install Miniconda for the local user, which does not require administrator permissions and is the most robust type of installation. However, if you need to, you can install Miniconda system wide, which does require administrator permissions.

Windows installers

Python version Name Size SHA256 hash
Python 3.10 Miniconda3 Windows 64-bit 53.9 MiB 307194e1f12bbeb52b083634e89cc67db4f7980bd542254b43d3309eaf7cb358
Python 3.9 Miniconda3 Windows 64-bit 53.7 MiB 155958e7922d8b7aa6cb3115aeb66d2efcdae1237a6f1c11e23ca75ea96d291a
Python 3.8 Miniconda3 Windows 64-bit 53.1 MiB f567b46b2312af5e60ec8f45daf9be626295b7716651e6e7434c447feea9123a
Python 3.9 Miniconda3 Windows 32-bit 67.8 MiB 4fb64e6c9c28b88beab16994bfba4829110ea3145baa60bda5344174ab65d462
Python 3.8 Miniconda3 Windows 32-bit 66.8 MiB 60cc5874b3cce9d80a38fb2b28df96d880e8e95d1b5848b15c20f1181e2807db

macOS installers

Python version Name Size SHA256 hash
Python 3.10 Miniconda3 macOS Intel x86 64-bit bash 44.1 MiB 5abc78b664b7da9d14ade330534cc98283bb838c6b10ad9cfd8b9cc4153f8104
  Miniconda3 macOS Intel x86 64-bit pkg 43.8 MiB cca31a0f1e5394f2b739726dc22551c2a19afdf689c13a25668887ba706cba58
  Miniconda3 macOS Apple M1 ARM 64-bit bash 42.6 MiB 9d1d12573339c49050b0d5a840af0ff6c32d33c3de1b3db478c01878eb003d64
  Miniconda3 macOS Apple M1 ARM 64-bit pkg 42.3 MiB 6997472c5ff90a772eb77e6397f4e3e227736c83a7f7b839da33d6cc7facb75d
Python 3.9 Miniconda3 macOS Intel x86 64-bit bash 44.4 MiB 54d739715feb0cd5c127865215cc9f50697709d71e9ee7da430576c5a1c8010d
  Miniconda3 macOS Intel x86 64-bit pkg 44.1 MiB 6960a11f74a0717adaacdc979d1817f5d0e3612d2ef7a409d547fbeac6d58ed7
  Miniconda3 macOS Apple M1 ARM 64-bit bash 43.0 MiB c74474bab188b8b3dcaf0f0ca52f5e0743591dbe171766016023d052acf96502
  Miniconda3 macOS Apple M1 ARM 64-bit pkg 42.7 MiB 9bc8a8fde9d01e26ee37a6611a92a66d36db66ff82e76bd4f18cb28cfbad7a1f
Python 3.8 Miniconda3 macOS Intel x86 64-bit bash 44.2 MiB eb7b2d285f6d3b7c9cde9576c8c647e70b65361426b0e0e069b4ab23ccbb79e2
  Miniconda3 macOS Intel x86 64-bit pkg 43.9 MiB 23d6fa672be46632abd0bbed1f12ce9542a6cb4a38922dab503d9a6096d186d3
  Miniconda3 macOS Apple M1 ARM 64-bit bash 42.9 MiB e0151c68f6a11a38b29c2f4a775bf6a22187fa2c8ca0f31930d69f2f013c0810
  Miniconda3 macOS Apple M1 ARM 64-bit pkg 42.6 MiB 6714fdefd12e1a65c7fd344f3829a4b054ae42d3d1368b07ceeab9dcc41ad48b

Linux installers

Python version Name Size SHA256 hash
Python 3.10 Miniconda3 Linux 64-bit 69.7 MiB aef279d6baea7f67940f16aad17ebe5f6aac97487c7c03466ff01f4819e5a651
  Miniconda3 Linux-aarch64 64-bit 50.3 MiB 6950c7b1f4f65ce9b87ee1a2d684837771ae7b2e6044e0da9e915d1dee6c924c
  Miniconda3 Linux-ppc64le 64-bit 50.8 MiB b3de538cd542bc4f5a2f2d2a79386288d6e04f0e1459755f3cefe64763e51d16
  Miniconda3 Linux-s390x 64-bit 66.0 MiB ed4f51afc967e921ff5721151f567a4c43c4288ac93ec2393c6238b8c4891de8
Python 3.9 Miniconda3 Linux 64-bit 67.3 MiB 1564571a6a06a9999a75a6c65d63cb82911fc647e96ba5b729f904bf00c177d3
  Miniconda3 Linux-aarch64 64-bit 61.0 MiB e93ccab720b57f821e0d758f54e9aee9bd2f0ea931ebb26b78d866704437a296
  Miniconda3 Linux-ppc64le 64-bit 61.2 MiB d2bcef86812863adaf11fcda6df829aa508760cbde4a19174cf0fec03e8498f5
  Miniconda3 Linux-s390x 64-bit 63.3 MiB d0b658566edd239dd50fc28ab1d3a57b8b0da707481b3b18c27d11273c4fdb5a
Python 3.8 Miniconda3 Linux 64-bit 65.8 MiB d1f3a4388c1a6fd065e32870f67abc39eb38f4edd36c4947ec7411e32311bd59
  Miniconda3 Linux-aarch64 64-bit 48.8 MiB ad491ebad6efec7470fe2139c8b407a895cb2c828b3233b97da6e4f22cae0cde
  Miniconda3 Linux-ppc64le 64-bit 49.3 MiB 8aa819800ba3ec88ad8518a9e4fc71ada8087547300fc53527c4ecc8072a4d50
  Miniconda3 Linux-s390x 64-bit 62.0 MiB e4d83bb9f0900c9128504f7e3c4d3b9e5eaf3b87c4bb5190a3086947e92bd3fa

Other resources

These Miniconda installers contain the conda package manager and Python. Once Miniconda is installed, you can use the conda command to install any other packages and create environments, etc. For example:

$ conda install numpy
$ conda create -n py3k anaconda python=3

There are two variants of the installer: Miniconda is Python 2 based and Miniconda3 is Python 3 based. Note that the choice of which Miniconda is installed only affects the root environment. Regardless of which version of Miniconda you install, you can still install both Python 2.x and Python 3.x environments.

The other difference is that the Python 3 version of Miniconda will default to Python 3 when creating new environments and building packages. So for instance, the behavior of:

$ conda create -n myenv python

will be to install Python 2.7 with the Python 2 Miniconda and to install Python 3.10 with the Python 3 Miniconda. You can override the default by explicitly setting python=2 or python=3. It also determines the default value of CONDA_PY when using conda build.


If you already have Miniconda or Anaconda installed, and you just want to upgrade, you should not use the installer. Just use conda update.

For instance:

$ conda update conda

will update conda.