A high-performance observability data pipeline.
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.
☄️ Python's nested data operator (and CLI), for all your declarative restructuring needs. Got data? Glom it! ☄️
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Logical Replication extension for PostgreSQL 17, 16, 15, 14, 13, 12, 11, 10, 9.6, 9.5, 9.4 (Postgres), providing much faster replication than Slony, Bucardo or Londiste, as well as cross-version upgrades.
A block-based API for NSValueTransformer, with a growing collection of useful examples.
Official Repository of "LLM × DATA" Survey Paper
Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.
Advanced and Fast Data Transformation in R
Microsoft Program Synthesis using Examples SDK is a framework of technologies for the automatic generation of programs from input-output examples. This repo includes samples and sample data for the Microsoft Program Synthesis using Example SDK.
💄 Durable and asynchronous data imports for consuming data at scale and publishing testable SDKs.
Executable memory system for tabular data work
Apache Camel Examples
Apache Camel Spring Boot Examples
An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
Like awk, but with SQL and table joins
Apache Camel Quarkus
📄 Concise selector to extract JSON from HTML.
O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian