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Tags: ETL
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1–24 of 58 · Most stars

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

  • batch-processing
  • kafka
  • pathway
  • python

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.

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.

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).

ingestr is a CLI tool to copy data between any databases with a single command seamlessly.

  • bigquery
  • copy-database
  • data-ingestion
  • data-integration

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.

  • dataops
  • dataops-platform
  • elt
  • open-source

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.

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.

Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.

Copy a Postgres database to a target Postgres server (pg_dump | pg_restore on steroids)