Algorithmia Alternatives

Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

freemium

Developer tools for deep learning research

Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

Machine Learning Operationalization

The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.

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

Deep Learning and AI accessible to everyone

Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.

Write down your algorithm to be visualized

Datatron automates the deployment, monitoring, governance, and validation of your machine learning models in scikit-learn, TensorFlow, Keras, Pytorch, R, H20 and SAS

Machine Learning Operationalization

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

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