> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wandb.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Reproduce experiments

> Reproduce a teammate's W&B experiment by downloading the associated code, dependencies, and configuration from a run.

Reproduce an experiment that a team member creates to verify and validate their results.

Before you reproduce an experiment, you need to make note of the:

* Name of the project the run was logged to
* Name of the run you want to reproduce

To reproduce an experiment:

1. Navigate to the project where the run is logged to.
2. Select the **Workspace** tab from the project sidebar.
3. Click the run that you want to reproduce. The run page opens with the **Overview** tab shown by default.

To continue, download the experiment's code at a given hash or clone the experiment's entire repository.

<Tabs>
  <Tab title="Download Python script or notebook">
    Download the experiment's Python script or notebook:

    1. On the **Overview** tab (shown by default), in the **Command** field, make a note of the name of the script that created the experiment.
    2. Select the **Code** tab on the run page.
    3. Click **Download** next to the file that corresponds to the script or notebook.
  </Tab>

  <Tab title="GitHub">
    Clone the GitHub repository your teammate used when creating the experiment. To do this:

    1. If necessary, gain access to the GitHub repository that your teammate used to create the experiment.
    2. Copy the **Git repository** field, which contains the GitHub repository URL.
    3. Clone the repository:
       ```bash theme={null}
       git clone https://github.com/your-repo.git && cd your-repo
       ```
    4. Copy and paste the **Git state** field into your terminal. The Git state is a set of Git commands that checks out the exact commit that your teammate used to create the experiment. Replace values specified in the following code snippet with your own:
       ```bash theme={null}
       git checkout -b "<run-name>" 0123456789012345678901234567890123456789
       ```
  </Tab>
</Tabs>

5. On the run page, select the **Files** tab.

6. Download the `requirements.txt` file and store it in your working directory. This directory should contain either the cloned GitHub repository or the downloaded Python script or notebook.

7. (Recommended) Create a Python virtual environment.

8. Install the requirements specified in the `requirements.txt` file.
   ```bash theme={null}
   pip install -r requirements.txt
   ```

9. Now that you have the code and dependencies, you can run the script or notebook to reproduce the experiment. If you cloned a repository, you might need to navigate to the directory where the script or notebook is located. Otherwise, you can run the script or notebook from your working directory.

<Tabs>
  <Tab title="Python notebook">
    If you downloaded a Python notebook, navigate to the directory where you downloaded the notebook and run the following command in your terminal:

    ```bash theme={null}
    jupyter notebook
    ```
  </Tab>

  <Tab title="Python script">
    If you downloaded a Python script, navigate to the directory where you downloaded the script and run the following command in your terminal; Replace values enclosed in `<>` with your own:

    ```bash theme={null}
    python <your-script-name>.py
    ```
  </Tab>
</Tabs>