# MLflow (/docs/guides/developer-workspace/mlflow)



[MLflow](https://mlflow.org) is pre-configured in every dev environment in BullSequana AI. You
can start tracking experiments immediately after opening a dev environment,
with no manual setup. The tracking server connection and your credentials are
injected automatically.

The MLflow UI is available directly in the Developer Workspace: select
<kbd>MLflow</kbd> in the left sidebar. The UI opens in a new browser tab
using your existing login, with no second sign-in required.

<Callout type="idea" title="New to MLflow?">
  The [MLflow documentation](https://mlflow.org/docs/latest/tracking.html)
  covers the core concepts of experiment tracking, run logging, and model
  management. It's a good starting point before diving into the guides below.
</Callout>

<Cards>
  <Card title="Track experiments" href="/docs/guides/developer-workspace/mlflow/track-experiments" />

  <Card title="Register models" href="/docs/guides/developer-workspace/mlflow/register-models" />

  <Card title="Open the MLflow UI" href="/docs/guides/developer-workspace/mlflow/open-mlflow-ui" />
</Cards>