Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
- analytics
- bigquery
- data-modeling
- data-pipelines
77,353 visible repositories in the index
73–96 of 153 · Most stars
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Embulk: Pluggable Bulk Data Loader.
Data processing & ETL framework for Ruby
🔥🔥🔥 Open source Reverse ETL - alternative to hightouch and census.
Copy a Postgres database to a target Postgres server (pg_dump | pg_restore on steroids)
Python Streaming DataFrames for Kafka
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 426 components, dbt, CDC, data quality, reverse ETL, lineage, MCP for AI agents. No vendor cloud, no per-row billing.
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Apache InLong - a one-stop, full-scenario integration framework for massive data
visual data prep powered by python
Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
🌊 Continuously synchronize the systems where your data lives, to the systems where you _want_ it to live, by managing your data flows with Estuary. 🌊
Healthcare data infrastructure for next generation care delivery.
📈 Collect customer event data from your apps. (Note that this project only includes the API collector, not the visualization platform)
Polo travels through your database and creates sample snapshots so you can work with real world data in development.
Conduit streams data between data stores. Kafka Connect replacement. No JVM required.
:lipstick: Durable and asynchronous data imports for consuming data at scale and publishing testable SDKs.
Amazon Redshift Database Loader implemented in AWS Lambda
SmartCode = IDataSource -> IBuildTask -> IOutput => Build Everything!!!
🌱 The ultimate solution for populating your MongoDB database.
Distributed Data Transfer Service for MySQL
The Apache Spark - Apache HBase Connector is a library to support Spark accessing HBase table as external data source or sink.
Import, validate, query, and export GTFS Schedule and Realtime data with SQLite, PostgreSQL, and MySQL.