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Tags: ETL
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1–16 of 16 · Most stars

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

  • batch-processing
  • kafka
  • pathway
  • python

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

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

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).

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

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.

Powerful CSV & Excel Import experience for SaaS 🚀 Save months building data import experience from scratch 💰

  • csv-import
  • data-import
  • data-mapping
  • data-review

Java importer skeleton for complicated, business-logic-heavy high-performance Neo4j imports directly from SQL databases, CSV files, etc.

  • neo4j
  • java
  • neo4j-graphaware-framework