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.
SubQuery is an Open, Flexible, Fast and Universal data indexing framework for web3. Our mission is to help developers create the decentralised products of the future.
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.
Logstash - transport and process your logs, events, or other data
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Incremental engine for long horizon agents 🌟 Star if you like it!
SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.
Fancy stream processing made operationally mundane
Migrate to PostgreSQL in a single command!
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.
ingestr is a CLI tool to copy data between any databases with a single command seamlessly.
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
Database Subsetting and Relational Data Browsing Tool.
Self-hosted platform to unify wearable health data through one AI-ready API.
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.
Apache Spark to Apache Cassandra connector
Data processing & ETL framework for Ruby
Python Streaming DataFrames for Kafka
Apache InLong - a one-stop, full-scenario integration framework for massive data
High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.
The swiss army knife of healthcare integration.
omniparser: a native Golang ETL streaming parser and transform library for CSV, JSON, XML, EDI, text, etc.
The simple, stupid batch framework for Java