Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
- batch-processing
- kafka
- pathway
- python
Repository Index
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Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
- airflow
- apache
- apache-airflow
- python
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.
- python
- luigi
- orchestration-framework
- scheduling
An orchestration platform for the development, production, and observation of data assets.
- data-pipelines
- dagster
- workflow
- data-science
Always know what to expect from your data.
- pipeline-tests
- dataquality
- datacleaning
- datacleaner
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.
- kedro
- hacktoberfest
- mlops
- python
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
- bloom
- deep-learning
- distributed-systems
- language-models
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
- data
- data-cleaning
- data-pipelines
- data-processing
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
- mlops
- machine-learning
- data-science
- production-ready
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
Utils for streaming large files (S3, HDFS, gzip, bz2...)
- python
- s3
- hdfs
- webhdfs
Self-hosted platform to unify wearable health data through one AI-ready API.
- wearables
- apple-health
- apple-watch
- fitness
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
- dataops
- dataops-platform
- elt
- open-source
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
- dataprep
- data-science
- datapreparation
- dataconnector
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
- etl
- data-integration
- python
- postgresql
Python Streaming DataFrames for Kafka
MLBox is a powerful Automated Machine Learning python library.
- machine-learning
- auto-ml
- kaggle
- deep-learning
Clean APIs for data cleaning. Python implementation of R package Janitor
- pandas
- dataframe
- data
- cleaning-data
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
- hpc
- workflow
- workflow-automation
- workflow-management
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
- pipeline
- pipeline-framework
- machine-learning
- deep-learning
The idiomatic asyncio MQTT client