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.
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)
:lipstick: Durable and asynchronous data imports for consuming data at scale and publishing testable SDKs.
- porter
- data-import
- framework
- data-transformation
The data transformation tool the open-source community deserves.
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.