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Tags: ETL
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1–19 of 19 · 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.

SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.

  • data-integration
  • high-performance
  • offline
  • real-time

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.

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.

  • data
  • ingestion
  • replication
  • management

omniparser: a native Golang ETL streaming parser and transform library for CSV, JSON, XML, EDI, text, etc.

  • transform
  • etl
  • xml
  • json

:lipstick: Durable and asynchronous data imports for consuming data at scale and publishing testable SDKs.

  • porter
  • data-import
  • framework
  • data-transformation

Download, unpack from a ZIP/TAR/GZ/BZ2 archive, parse, correct, convert units and import Google Spreadsheets, XLS, ODS, XML, CSV, HTML, etc. into your ActiveRecord models. Uses RemoteTable gem internally.

Universal BLE Smart Scale bridge. Captures body composition from Renpho, Xiaomi & 20+ others, syncs to Garmin Connect, Strava, MQTT (Home Assistant), InfluxDB, Webhooks, Ntfy & local files (CSV/JSONL). Headless CLI for Raspberry Pi, Linux, macOS & Windows.