Apache Spark™ is a unified analytics engine for large-scale data processing.

Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams.

An end-to-end open source machine learning platform.

An open source machine learning framework that accelerates the path from research prototyping to production deployment.

Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD.

The all-scenario deep learning framework developed by Huawei.

PaddlePaddle is an open source deep learning platform derived from industrial practice initiated by Baidu.

The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable, and scalable.

The Open MPI Project is an open source Message Passing Interface implementation that is developed and maintained by a consortium of academic, research, and industry partners.

Horovod is a distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

A truly open source deep learning framework suited for flexible research prototyping and production.

The KubeGene is dedicated to making genome sequencing process simple, portable, and scalable.