# [Anaconda](https://learn.arm.com/install-guides/anaconda/)

## How do I install Anaconda?

| Reading time: | 15 min |
|---------------|--------|
| Last updated: | 5 Aug 2026 |
| Ecosystem dashboard: | [View](https://developer.arm.com/ecosystem-dashboard/linux?package=anaconda) |

This guide shows you how to install and use the tool with the most common configuration. For advanced options and complete reference information, see the official documentation. Some install guides also include optional next steps to help you explore related workflows or integrations.

[Anaconda Distribution](https://www.anaconda.com/products/distribution) is a popular open-source Python distribution. It includes access to a repository with over 8,000 open-source data science and machine learning packages.

You can use the `conda` command to quickly install and use Python packages.

In this guide, you’ll learn how to install and use Anaconda Distribution on an Arm server.

## Before you begin

Confirm you are using an Arm machine by running:

```bash
uname -m
```

The output is similar to:

```
__output__ aarch64
```

If you see a different result, you are not using an Arm computer running 64-bit Linux.

The installer requires some desktop related libraries. You can meet the dependencies by installing a desktop environment by running the commands for your Linux distribution.

```bash
sudo apt update
sudo apt install xfce4 -y
```

```bash
sudo amazon-linux-extras install mate-desktop1.x
```

## Download the latest Anaconda Distribution

To download Anaconda Distribution, run:

> **Note**  
> The following commands use Anaconda version 2026.07-1. The same commands work with other versions. Replace the file used in these steps with the file for your version of choice. To find the latest version, see [Anaconda Distribution release notes](https://www.anaconda.com/docs/getting-started/anaconda/release-notes).

```bash
curl -O https://repo.anaconda.com/archive/Anaconda3-2026.07-1-Linux-aarch64.sh
```

Depending on the version, the downloaded filename will be of the form `Anaconda3-20XX.YY-Linux-aarch64.sh` where the `XX` and `YY` values represent the year and month of the latest release.

## Install the Anaconda Distribution

Run the downloaded install script.

The default installation directory is `$HOME/anaconda3`. Change the installation directory as needed using the `-p` option to the install script.

To review the license terms before accepting, remove `-b`.

```bash
sh ./Anaconda3-2026.07-1-Linux-aarch64.sh -b
```

The install takes a couple of minutes to complete.

The batch installation won’t set up the shell. To set up the shell, run:

```bash
eval "$( $HOME/anaconda3/bin/conda shell.bash hook )"
```

### Accept the Anaconda Terms of Service

Before you can install packages from the default Anaconda channels, accept the Terms of Service:

```bash
$HOME/anaconda3/bin/conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/main
$HOME/anaconda3/bin/conda tos accept --override-channels --channel https://repo.anaconda.com/pkgs/r
```

## Get started with Anaconda

Test Anaconda Distribution by running the following TensorFlow and PyTorch examples.

### Use TensorFlow with Anaconda

Create a new conda environment named `tf` and install TensorFlow:

```bash
conda create -n tf tensorflow -y
```

Activate the new environment:

```bash
conda activate tf
```

The shell prompt will now show the tf environment.

```
__output__ (tf) ubuntu@ip-10-0-0-251:~$
```

Run a simple check to make sure TensorFlow is working.

Using a text editor, copy and paste the code below into a text file named `tf.py`:

```python
import tensorflow as tf
print(tf.__version__)
print(tf.reduce_sum(tf.random.normal([1000,1000])))
exit()
```

Run the example code:

```bash
python ./tf.py
```

The output is similar to:

```
__output__ 2.12.0
__output__ tf.Tensor(342.34387, shape=(), dtype=float32)
```

### Use PyTorch with Anaconda

Create a new conda environment named `torch` and install PyTorch:

```bash
conda create -n torch pytorch -y
```

Activate the new environment:

```bash
conda activate torch
```

Using a text editor, copy and paste the following code into a text file named `pytorch.py`:

```python
import torch
print(torch.__version__)
x = torch.rand(5,3)
print(x)
exit()
```

Run the example code:

```bash
python ./pytorch.py
```

The output is similar to:

```
__output__ 2.12.0
__output__ tensor([[0.9287, 0.5931, 0.0239],
                   [0.3402, 0.9447, 0.8897],
                   [0.3161, 0.3749, 0.6848],
                   [0.8091, 0.6998, 0.7517],
                   [0.2873, 0.0549, 0.2914]])
```

You are ready to use Anaconda Distribution.