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A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
Open-source IoT Gateway - integrates devices connected to legacy and third-party systems with ThingsBoard IoT Platform using Modbus, CAN bus, BACnet, BLE, OPC-UA, MQTT, ODBC and REST protocols.
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Data processing & ETL framework for Ruby
🔥🔥🔥 Open source Reverse ETL - alternative to hightouch and census.
Python Streaming DataFrames for Kafka
Copy a Postgres database to a target Postgres server (pg_dump | pg_restore on steroids)
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 385 components, dbt, CDC, data quality, reverse ETL, lineage, MCP for AI agents. No vendor cloud, no per-row billing.
visual data prep powered by python
Import CSV and JSON into PostgreSQL the easy way
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
omniparser: a native Golang ETL streaming parser and transform library for CSV, JSON, XML, EDI, text, etc.
🌊 Continuously synchronize the systems where your data lives, to the systems where you _want_ it to live, by managing your data flows with Estuary. 🌊
ETL framework for .NET (Parser / Writer for CSV, Flat, Xml, JSON, Key-Value, Parquet, Yaml, Avro formatted files)
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.
The MongoDB Spark Connector
The simple, stupid batch framework for Java
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.
🌱 The ultimate solution for populating your MongoDB database.