# Dagster + Weights & Biases

> Orchestrate MLOps pipelines and maintain machine-learning assets.

Source: https://dagster.io/integrations/dagster-wandb
Category: Other

## About this integration

Use Dagster and Weights & Biases (W\&B) to orchestrate your MLOps pipelines and maintain ML assets. The integration with W\&B makes it easy within Dagster to:

- use and create W\&B Artifacts
- use and create Registered Models in W\&B Model Registry
- run training jobs on dedicated compute using W\&B Launch
- use the wandb client in ops and assets

The W\&B Dagster integration provides a W\&B-specific Dagster resource and IO Manager:

- `wandb_resource`: a Dagster resource used to authenticate and communicate to the W\&B API.
- `wandb_artifacts_io_manager`: a Dagster I/O Manager used to consume W\&B Artifacts.

## Installation

To use this integration you will need a Weights and Biases account. Then you will need an W\&B API Key, a W\&B entity (user or team), and a W\&B project. Full installation details can be found on [the Weights and Biases website here](https://docs.wandb.ai/guides/integrations/other/dagster).

Note that Weights & Biases do offer a free cloud account for personal (non-corporate) use. Check out their [pricing page](https://wandb.ai/site/pricing) for details.

## Example

A complete tutorial can be found on [the Weights and Biases website here](https://docs.wandb.ai/guides/integrations/other/dagster).

## About Weights & Biases

[Weights & Biases](https://wandb.ai/site) makes it easy to track your experiments, manage & version your data, and collaborate with your team so you can focus on building the best machine learning models.