Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

An Open Source Machine Learning Framework for Everyone

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Databricks framework to validate Data Quality of pySpark DataFrames

Apache Spark - A unified analytics engine for large-scale data processing

An orchestration platform for the development, production, and observation of data assets.

The open source developer platform to build AI agents and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integrated platform.

Python version of Pact. Enables consumer driven contract testing, providing a mock service and DSL for the consumer project, and interaction playback and verification for the service provider project.

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

Apache Livy is an open source REST interface for interacting with Apache Spark from anywhere.

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

🚀 The open-source, multi-tenant, self-building knowledge graph

Apache Superset is a Data Visualization and Data Exploration Platform

DSPy: The framework for programming—not prompting—language models

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.

Client library for Amazon Kinesis

The Prometheus monitoring system and time series database.

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Apache Flink

Facilitates simple large scale processing of HLS Medical images, documents, zip files. OHIF Viewer, 2 segmentation models and interactive learning.

Databricks Terraform Provider

💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline

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 mat…

A cluster computing framework for processing large-scale geospatial data

Deep Learning for humans

State of the Art Natural Language Processing

A collection of useful .gitignore templates

Open source documentation of Microsoft Azure