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.
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.
Keep passwords and other sensitive information out of your chat logs and inboxes.
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 385 components, dbt, CDC, data quality, reverse ETL, lineage, MCP for AI agents. No vendor cloud, no per-row billing.
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
visual data prep powered by python
- data
- data-pipelines
- etl
- structured-data
ETL framework for .NET (Parser / Writer for CSV, Flat, Xml, JSON, Key-Value, Parquet, Yaml, Avro formatted files)
The data transformation tool the open-source community deserves.
k6 extension to load test Apache Kafka with support for various serialization formats, SASL, TLS, compression, Schema Registry client and beyond
High performance Kafka consumer for InfluxDB. Supports collectd message formats.
- kafka-influxdb
- kafka-consumer
- logstash
- influxdb
go-etl is a toolset for data extraction, transformation and loading.
:mag: Data pipeline for crawling PDFs from the Web and transforming their contents into structured data using AWS textract. Built with AWS CDK + TypeScript
A library to build and execute typed scientific workflows
A Splitable Hadoop InputFormat for Concatenated GZIP Files and *.(w)arc.gz