Apache Superset is a Data Visualization and Data Exploration Platform
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Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Learn how to develop, deploy and iterate on production-grade ML applications.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Apache Spark - A unified analytics engine for large-scale data processing
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.
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Apache Flink
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
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.
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.
Turns Data and AI algorithms into production-ready web applications in no time.
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.
List of Data Science Cheatsheets to rule the world
An orchestration platform for the development, production, and observation of data assets.
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
Incremental engine for long horizon agents 🌟 Star if you like it!
Connect APIs, remarkably fast. Free for developers.
The most widely used Python to C compiler
Python SQL Parser and Transpiler
BullMQ - Message Queue and Batch processing for NodeJS, Python, .NET, Elixir, Rust and PHP based on Redis or PostgreSQL
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Apache Beam is a unified programming model for Batch and Streaming data processing.
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀