26 docs tagged with "Community supported"

Integrate Anthropic calls into your Dagster pipelines, without breaking the bank.

Trigger Census synchs from within your Dagster pipelines.

Push changes from upstream data sources to Cubes semantic layer.

The community-supported `dagster-dingtalk` package provides an integration with DingTalk.

Build robust dashboards with markdown and SQL using the Evidence integration

The community-supported `dagster-contrib-gcp` package provides integrations with Google Cloud Platform (GCP) services.

The community-supported `dagster-nomad` package provides an integration with HashiCorp Nomad.

Centrally manage credentials and certificates, then use them in your pipelines.

The community-supported `dagster-hex` package provides an integration with Hex.

Trigger syncs and monitor them until they complete.

The Java Pipes client provides a Java implementation of the Dagster Pipes protocol that can be used to orchestrate data processing pipelines written in Java from Dagster, while receiving logs and metadata from the Java application.

lakeFS provides version control and complete lineage over the data lake.

Tap into open source configurable ETL+ and the Singer integration library.

Keep your team up to speed with Teams messages.

The community-supported `dagster-modal` package provides an integration with Modal.

The community-supported `dagster-mssql-bcp` package is a custom Dagster I/O manager for loading data into SQL Server using the bcp utility.

Integration with the LLM model routing platform Not Diamond

The community-supported `dagster-obstore` package provides an integration with obstore.

Configure and schedule Dagster metadata and profiler workflows from the OpenMetadata UI.

The `dagster-perian` integration allows you to easily dockerize your codebase and execute it on the PERIAN platform, PERIAN's serverless GPU environment.

Integrate Qdrant vector search features into your workflows powered by Dagster.

The community-supported `dagster-ray` package allows orchestrating distributed Ray compute from Dagster pipelines.

The Rust Pipes client allows full observability into your Rust workloads when orchestrating through Dagster.

Help your team understand metadata from Dagster by adding context in Secoda.

The community-supported `dagster-teradata` package provides an integration with Teradata.

Orchestrate your MLOps pipelines and maintain ML assets.