Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
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Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
JavaScript framework for visual programming
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
Simple flow library 🖥️🖱️
Code security scanning tool (SAST) to discover, filter and prioritize security and privacy risks.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Python Stream Processing
Dataflow compiler for QNN inference on FPGAs
Spreadsheet-like dataflow programming in ClojureScript.
Extract structured data from web sites. Web sites scraping.
A lightweight, header-only, high-performance reactive programming framework for C++20.
Streaming reactive and dataflow graphs in Python
A Common Lisp implementation of the dataflow programming paradigm
Friendly utility to load your on-prem data, whether large or small, to Einstein Analytics Datasets, with useful features such as autoloading, dataflow control and dataset inspection.
Easier-than-print dataflow tracing to tap> and Portal with automatic last-input function replay on eval, instant re-render and effortless extraction of traced data
Flowgraph package for scalable asynchronous system development
ETL scripts for EOS.
Upipe dataflow framework
Send OTP verification messages via DataFlows SMS API for Supabase Auth