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.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Apache Spark - A unified analytics engine for large-scale data processing
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Apache Flink
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
An orchestration platform for the development, production, and observation of data assets.
Graph-Native Infrastructure for Context and Accountable AI Systems
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Parallel computing with task scheduling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Node-based Visual Programming Toolbox
Always know what to expect from your data.
Incremental engine for long horizon agents 🌟 Star if you like it!
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Build, Manage and Deploy AI/ML Systems
Apache Beam is a unified programming model for Batch and Streaming data processing.
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
The Open Source Feature Store for AI/ML