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neptune.ai | The MLOps stack component for experiment tracking. Play with public sandbox. Lightweight component that works with any MLOps stack. Deploy on your own infra or cloud Use one of 30 integrations. Track & compare. Log model metadata from anywhere in your pipeline. See and compare results in the web app.
Explore Neptune’s features and capabilities. Solutions. See how Neptune can provide you the most value. Data Scientist. ML Engineer. ML Platform Engineer. ML Team Lead. Use cases. Learn how you can use Neptune in your projects. Computer Vision. NLP. Reinforcement Learning. Time series. Tabular data. Integrations.
Over 50,000 Data Scientists and ML Engineers use Neptune to effortlessly manage metadata. Start for FREE. Simple pricing for scalable MLOps. Available as a SaaS or self-hosted solution. Choose your plan depending on your company's size and needs.
How does it work? Neptune consists of: neptune – Python client library (API) for logging and querying model-building metadata. app.neptune.ai – web app for visualization, comparison, monitoring, and collaboration. You can have a workspace for each team or organization that you're working with.
Join 50,000+ ML Engineers & Data Scientists using Neptune to easily log, compare, register, and share ML metadata. Try Neptune for free See docs. Take an interactive product tour. Blog for ML practicioners with articles about MLOps, ML tools, and other ML-related topics.
How does it work? Introduction. Try it out. See Neptune in action with our 5-minute "Hello Neptune" example. Quickstart. Set it up. Installing Neptune. Interested in self-hosting/on-prem? Self-hosted Neptune. Get on board. Understand how to get your team started with Neptune and explore best practices. Onboarding guide for teams.
Easy-to-abstract Python library. Excellent Developer Experience. Integrate with any MLOps tool stack. Use our native API to plug into any stack with zero friction. Or connect out-of-the-box to your current training pipelines with 25+ native integrations. See how to get started. Enterprise-grade support.
