Reverse Dependencies of databricks-sdk

The following projects have a declared dependency on databricks-sdk:

• acryl-datahub — A CLI to work with DataHub metadata
• airflow-tools — no summary
• apache-airflow-providers-databricks — Provider package apache-airflow-providers-databricks for Apache Airflow
• brickflows — Deploy scalable workflows to databricks using python
• cdpdev-datahub — A CLI to work with DataHub metadata
• composer — Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy.
• dagster-databricks — Package for Databricks-specific Dagster framework op and resource components.
• databricks-azure-ad-sync-provider — Default template for PDM package
• databricks-connect — Databricks Connect Client
• databricks-genai — Interact with the Databricks Generative AI APIs in python
• databricks-genai-inference — Interact with the Databricks Foundation Model API from python
• databricks-labs-blueprint — Common libraries for Databricks Labs
• databricks-labs-lsql — Lightweight stateless SQL execution for Databricks with minimal dependencies
• databricks-labs-pylint — Plugin for PyLint to support Databricks specific code patterns and best practices.
• databricks-labs-remorph — SQL code converter and data reconcilation tool for accelerating data onboarding to Databricks from EDW, CDW and other ETL sources.
• databricks-labs-ucx — UCX - Unity Catalog Migration Toolkit
• databricks-rag-studio — Databricks RAG Studio Library
• databricks-sqlalchemy-oauth — SQLAlchemy OAuth connector to Databricks
• db-az-sync-provider — A PDM package to sync Azure users, roles and service principals to Databricks
• dbt-databricks — The Databricks adapter plugin for dbt
• dbtunnel — Run app and get cluster proxy url for it in databricks clusters
• dlt-meta — DLT-META Framework
• featurebyte — Python Library for FeatureOps
• gradiently — no summary
• iMapHub — Library created to map two Dataset
• integral_deid — PHI taggging and redaction
• laktory — A DataOps framework for building a lakehouse
• mapGlobaltoLocal — Library created to map two Dataset
• metaphor-connectors — A collection of Python-based 'connectors' that extract metadata from various sources to ingest into the Metaphor app.
• mlrpc — Deploy FastAPI applications on MLFlow
• mlrun — Tracking and config of machine learning runs
• mosaicml — Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy.
• mosaicml-streaming — Streaming lets users create PyTorch compatible datasets that can be streamed from cloud-based object stores
• mymaplib-123 — Library created to map two Dataset
• openmetadata-ingestion — Ingestion Framework for OpenMetadata
• pfore-cloud-utilities — Provides utility functions for cloud-based workflows.
• pyjaws — no summary
• quollio-core — Quollio Core
• rtdip-sdk — no summary
• serra — Simplified Data Pipelines
• shipyard-databricks — A local client for connecting and working with Databricks
• shipyard-databricks-sql — A local client for connecting and working Databricks SQL Warehouses
• spetlr — A python ETL libRary (SPETLR) for Databricks powered by Apache SPark.
• tecton-parallel-retrieval — [private preview] Parallel feature retrieval on Databricks for Tecton
• testlib123 — Library created to map two Dataset
• unstructured — A library that prepares raw documents for downstream ML tasks.