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.
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
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.
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
MongoDB data stream pipeline tools by YouGov (adopted from MongoDB)
Python Streaming DataFrames for Kafka
High performance Kafka consumer for InfluxDB. Supports collectd message formats.
Reverse ETL for the code-first data stack