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Tags: Data pipelines and messaging
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1–19 of 19 · Most stars

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.

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

  • dbt-viewpoint
  • slack
  • pypa
  • data-modeling

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.

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

  • transform
  • etl
  • xml
  • json

Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.

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

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

Scramjet Platform is a distributed runtime supervisor that can run data processing programs called Sequences and manage local resources on any Linux server, Docker on small edge servers, and even large-scale Kubernetes clusters in the cloud or datacenters without exposing network ports to the public internet.

EtlKit is a lightweight ETL (extract · transform · load) library and data integration toolbox for .NET. Build your own data pipelines programmatically in C# — readable, testable, and tracked in source control like the rest of your code.

  • dotnet
  • dotnet-core
  • etl
  • etl-framework