Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
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Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.
The leader in Customer Data Infrastructure
Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.
Apache Camel is an open source integration framework with 350+ connectors. Write routes in Java, YAML, or XML. Run on Spring Boot, Quarkus, or standalone. Apache License 2.0.
Privacy and Security focused Segment-alternative, in Golang and React
ingestr is a CLI tool to copy data between any databases with a single command seamlessly.
Self-hosted platform to unify wearable health data through one AI-ready API.
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
The fastest unified streaming SQL Engine in a single C++ binary. ⚡ Millisecond latency. 100+ GB/s throughput. Continuously compute stateful context from streams, logs, metrics, events, and CDC.
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
MongoDB data stream pipeline tools by YouGov (adopted from MongoDB)
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
🔥🔥🔥 Open source Reverse ETL - alternative to hightouch and census.
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, 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
🌊 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)
The simple, stupid batch framework for Java
Conduit streams data between data stores. Kafka Connect replacement. No JVM required.