dlt-hub

by ScaleVector GmbH

Prepare Python environment for dlthub workspace

by ScaleVector GmbH

Quick insights from dlt pipeline data. Connect to a pipeline, profile tables, plan charts, and assemble marimo dashboards.

by ScaleVector GmbH

Add checks and metrics to dlt pipelines — inspect schema for candidates, define column-level validations and load metrics, run them on every pipeline load, and review results with failure diagnosis.

by ScaleVector GmbH

Build and deploy a minimal custom REST API pipeline to dltHub Platform after uvx dlthub-init setup

by ScaleVector GmbH

Deploy dlthub workspace and pipelines to the dltHub Platform

by ScaleVector GmbH

Load files (CSV, Parquet, JSONL, or custom) from local disk, S3, GCS, Azure, or SFTP into a destination using dlt's filesystem source.

by ScaleVector GmbH

Shared rules, secrets handling, and workspace MCP for dlthub

by ScaleVector GmbH

Deploy a GitHub issues pipeline to dltHub Platform in one shot

by ScaleVector GmbH

Tune dlt pipeline performance — diagnose the bottleneck stage (extract, normalize, load) and apply the right lever: parallelism, workers, memory buffers, file rotation, and batching.

by ScaleVector GmbH

Full-path guided start: ingest → visualize → transform → deploy in 3-5 prompts

by ScaleVector GmbH

Build REST API pipelines with dlt: scope, debug and validate data

by ScaleVector GmbH

Build SQL database pipelines with dlt: connect to any SQL source, load tables to a destination, tune performance with backends

by ScaleVector GmbH

Transform raw dlt pipeline data into a Canonical Data Model. Build an ontology, design a CDM with Kimball dimensional modeling, write @dlt.hub.transformation functions, and validate the output.