1.hugues31 / duckpad
The data transformation tool the open-source community deserves.
Ranked by Attention Score: stars gained over the last 7 complete days
41 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
The data transformation tool the open-source community deserves.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Apache Superset is a Data Visualization and Data Exploration Platform
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.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
An orchestration platform for the development, production, and observation of data assets.
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
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.
Python SQL Parser and Transpiler
Python Stream Processing
Always know what to expect from your data.
the portable Python dataframe library
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.
Turns Data and AI algorithms into production-ready web applications in no time.
The Data Engineering Cookbook
🌊 Online machine learning in Python
The Open Source Feature Store for AI/ML
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.
Elyra extends JupyterLab with an AI centric approach.
Lightweight and extensible compatibility layer between dataframe libraries!
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
Event-driven networking engine written in Python.
Python Streaming DataFrames for Kafka
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Utils for streaming large files (S3, HDFS, gzip, bz2...)
A library for event sourcing in Python.
pyspark methods to enhance developer productivity 📣 👯 🎉
The idiomatic asyncio MQTT client
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Real-time monitor and web admin for Celery distributed task queue
📚 Parameterize, execute, and analyze notebooks
CLI task management & automation tool
Jupyter magics and kernels for working with remote Spark clusters
PySpark test helper methods with beautiful error messages
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
Data ingestion engine — Singer taps to Parquet in cloud buckets