What is Neptune?
It brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed, reproduced and shared with others. Works with all common technologies and integrates with other tools.
Neptune is a tool in the Machine Learning Tools category of a tech stack.
Who uses Neptune?
Companies
Developers
14 developers on StackShare have stated that they use Neptune.
Neptune Integrations
R Language, PyTorch, Keras, Matplotlib, and MLflow are some of the popular tools that integrate with Neptune. Here's a list of all 7 tools that integrate with Neptune.
Pros of Neptune
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Neptune's Features
- Experiment tracking
- Experiment versioning
- Experiment comparison
- Experiment monitoring
- Experiment sharing
- Notebook versioning
Neptune Alternatives & Comparisons
What are some alternatives to Neptune?
Neo4j
Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
Dgraph
Dgraph's goal is to provide Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data. Dgraph supports GraphQL-like query syntax, and responds in JSON and Protocol Buffers over GRPC and HTTP.
Saturn
It is a web development framework written in F# which implements the server-side MVC pattern. Many of its components and concepts will seem familiar to anyone with experience in other web frameworks like Ruby on Rails or Python’s Django.
Postman
It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
Postman
It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.
