Machine Learning Tools

Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.

Select Target Platform Click on the green buttons that describe your target platform.

Datmo tools help power up your existing model workflow. A new standard built by data scientists, for data scientists.

Developer tools for deep learning research

Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.

Open Source

Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated

MLKit is a simple machine learning framework written in Swift.

Open Source

Seldon increases engagement and revenue by providing a smarter personalised user experience.

Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.

Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Humans helping machines see the world.

freemium €300.0 / Monthly

Datalore is an interactive web-based workbook for data analysis, scientific exploration and visualization in Python.

Data lake for machine and deep learning. The fastest dataset management tool for computer vision.

Open Source $450.0 / Monthly (Growth Plan for up to 10 users)