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 52.9 MiB 2e3086630fa3fae7636432a954be530c88d0705fce497120d56e0f5d865b0d51
Python 3.9 Miniconda3 Windows 64-bit 53.0 MiB 4b92942fbd70e84a221306a801b3e4c06dd46e894f949a3eb19b4b150ec19171
Python 3.8 Miniconda3 Windows 64-bit 52.5 MiB 9f6ce5307db5da4e391ced4a6a73159234c3fc64ab4c1d6621dd0b64b0c24b5f
Python 3.7 Miniconda3 Windows 64-bit 50.7 MiB 4d48f78d7edbf4db0660f3b3e28b6fa17fa469cdc98c76b94e08662b92a308bd
Python 3.9 Miniconda3 Windows 32-bit 67.8 MiB 4fb64e6c9c28b88beab16994bfba4829110ea3145baa60bda5344174ab65d462
Python 3.8 Miniconda3 Windows 32-bit 66.8 MiB 60cc5874b3cce9d80a38fb2b28df96d880e8e95d1b5848b15c20f1181e2807db
Python 3.7 Miniconda3 Windows 32-bit 65.5 MiB a6af674b984a333b53aaf99043f6af4f50b0bb2ab78e0b732aa60c47bbfb0704

macOS installers

Python version Name Size SHA256 hash
Python 3.10 Miniconda3 macOS Intel x86 64-bit bash 44.4 MiB 7406579393427eaf9bc0e094dcd3c66d1e1b93ee9db4e7686d0a72ea5d7c0ce5
  Miniconda3 macOS Intel x86 64-bit pkg 44.2 MiB 9195ffba1a6984c81c69649ce976a38455ace5b474c24a4363e5ca65fc72e832
  Miniconda3 macOS Apple M1 ARM 64-bit bash 43.3 MiB 22eec9b7d3add25ac3f9b60621d8f3d8df3e63d4aa0ae5eb846b558d7ba68333
  Miniconda3 macOS Apple M1 ARM 64-bit pkg 43.0 MiB fbb33c5770b10a0d5a0deef746e7499bfaf8ff840d0d517175036dd8449357f6
Python 3.9 Miniconda3 macOS Intel x86 64-bit bash 44.7 MiB 9a537f3a1b472098754c59a30b94822f1e9458405af831172aaa8f8124e9df88
  Miniconda3 macOS Intel x86 64-bit pkg 44.5 MiB c3169286b271e0621d00d821f76dd7bd2563c32389896566dee115e53f6002c1
  Miniconda3 macOS Apple M1 ARM 64-bit bash 43.6 MiB eca5e241faea19d4b352aba819f99f42e2336fdbeecb04f5bc89c9ca786ea798
  Miniconda3 macOS Apple M1 ARM 64-bit pkg 43.3 MiB 4b5cd684601e638da6987b465b95b0ebbde4dcfcac840fe58095eb3940f4a62c
Python 3.8 Miniconda3 macOS Intel x86 64-bit bash 44.6 MiB 6c4cea3c355326f503d15ae97e5126437529a595499e3ce304cd0f247e935da8
  Miniconda3 macOS Intel x86 64-bit pkg 44.4 MiB 62e30204221f9e65e89b3644a60d289c6582eed097f83d5dcd9752bafd743491
  Miniconda3 macOS Apple M1 ARM 64-bit bash 43.2 MiB bf75dbf193db6895c62b2bb963cab2534a8bbdf0ac956f270da8d7a19f4d1b54
  Miniconda3 macOS Apple M1 ARM 64-bit pkg 42.9 MiB 34ea0d81e51df29a47625f4900f95390bfb079f063e02ddf1ae57a2133fcef56
Python 3.7 Miniconda3 macOS Intel x86 64-bit bash 54.8 MiB e51d459aae45bb6b86c2716738b778b788785e6e1ea4b2ed244a0fdd754feb19
  Miniconda3 macOS Intel x86 64-bit pkg 54.5 MiB b694a332b5ae4e3096c9471969cf00188257364a4bfe59d7f312b19af66bcd48

Linux installers

Python version Name Size SHA256 hash
Python 3.10 Miniconda3 Linux 64-bit 69.0 MiB 00938c3534750a0e4069499baf8f4e6dc1c2e471c86a59caa0dd03f4a9269db6
  Miniconda3 Linux-aarch64 64-bit 49.6 MiB 48a96df9ff56f7421b6dd7f9f71d548023847ba918c3826059918c08326c2017
  Miniconda3 Linux-ppc64le 64-bit 50.0 MiB 4c86c3383bb27b44f7059336c3a46c34922df42824577b93eadecefbf7423836
  Miniconda3 Linux-s390x 64-bit 61.2 MiB a150511e7fd19d07b770f278fb5dd2df4bc24a8f55f06d6274774f209a36c766
Python 3.9 Miniconda3 Linux 64-bit 66.7 MiB e685005710679914a909bfb9c52183b3ccc56ad7bb84acc861d596fcbe5d28bb
  Miniconda3 Linux-aarch64 64-bit 60.3 MiB 031b6c52060bb75e930846c0a66baa91db8196f0d97fd32f3822c54db6b7c76a
  Miniconda3 Linux-ppc64le 64-bit 60.4 MiB 16cc2d74644cf838d2761723c01172e0b704674317630480902ef429af29bd0b
  Miniconda3 Linux-s390x 64-bit 58.8 MiB ed6176aa6b52e22d939ea5c0c38f9f3cf52d2519a5d0dcb414936287893a31f9
Python 3.8 Miniconda3 Linux 64-bit 61.6 MiB 473e5ecc8e078e9ef89355fbca21f8eefa5f9081544befca99867c7beac3150d
  Miniconda3 Linux-aarch64 64-bit 48.1 MiB ff65684bce7a7ad7abb698ff649195816ee0f47a4f17cb9632a44abf69357ea5
  Miniconda3 Linux-ppc64le 64-bit 48.5 MiB 59fd0901f9fa1ba6b07e734adff4d6c5215e9d7f13ad37f0044af22e9b72194a
  Miniconda3 Linux-s390x 64-bit 57.9 MiB 5bdc6ead307c098b32ba8473b7cbbe87eb80f8eca9adba03f47848bcb34a9b38
Python 3.7 Miniconda3 Linux 64-bit 82.3 MiB 22b14d52265b4e609c6ce78e2f2884b277d976b83b5f9c8a83423e3eba2ccfbe
  Miniconda3 Linux-aarch64 64-bit 80.5 MiB ebba2f7e33ce5594c50e6422477106e6bb327310838fbac3db89d2eaebcde943
  Miniconda3 Linux-ppc64le 64-bit 81.1 MiB dda16ae14992697e3c90b56fe9de819f5f3b1dcb3ac7a31d24ab5736ccd5f129
  Miniconda3 Linux-s390x 64-bit 78.7 MiB 3c71628865164c3f8b461f8e4b2a353ff1367eed61c83b9c3e14fc201608b1a7

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 3.8 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.