# Installation

{% hint style="info" %}
If you'd like to use RDT for synthetic data, we recommend installing the [SDV library](https://sdv.dev/SDV/getting_started/install.html). It will automatically download RDT, along with other libraries to support synthetic data generation and evaluation. 
{% endhint %}

## Requirements

* The RDT has been developed and tested on Python [3.8-3.13](https://www.python.org/downloads/)
* We recommend using a virtual environment (such as [virtualenv](https://virtualenv.pypa.io/en/latest/)) to avoid conflicts with other software on your device

## Download Instructions

{% tabs %}
{% tab title="pip" %}
We recommend downloading `rdt` using [pip](https://pip.pypa.io/en/stable/).

```
pip install rdt
```

This automatically downloads the most recent version from [PyPi](https://pypi.org/project/rdt/).
{% endtab %}

{% tab title="conda" %}
You can also download `rdt` using [conda](https://docs.conda.io/en/latest/).

```
conda install -c conda-forge rdt
```

This automatically downloads the most recent version from [conda](https://anaconda.org/conda-forge/rdt).
{% endtab %}
{% endtabs %}

### Verification

To verify that you have installed the RDT correctly, check your version using the following code:

```python
import rdt
print(rdt.__version__)
```

The printed version number should be the latest one found in our [Release Notes](https://github.com/sdv-dev/RDT/releases).

## Troubleshooting

If you are having issues installing RDT, please [join our forum](https://forum.datacebo.com/). We'd be happy to help!