Neptune.ai — ML Experiment Tracking & Metadata
Neptune.ai is a centralized metadata store for tracking and comparing machine learning experiments for data science teams
Neptune.ai provides a centralized metadata store for teams who build and deploy machine learning models. This platform is designed specifically for data scientists and ML engineers who need to track experiments, manage model versions, and collaborate on complex projects. By acting as a single source of truth, Neptune.ai ensures that every experiment is reproducible and documented without manual record-keeping. The tool allows users to log and monitor metrics, hyperparameters, data versions, and model weights in real-time. Within the dashboard, teams can compare dozens of experiments side-by-side to identify the best performing configurations quickly. Neptune.ai also includes a model registry to manage the lifecycle of models from development to production stages. Using surfai.app to discover MLOps tools helps businesses streamline their technical workflows and reduce the time spent on manual documentation. Key features include seamless visualization of training curves and the ability to share interactive dashboards with stakeholders. The platform maintains a complete history of every run, making it easier to audit model performance over time. For organizations running hundreds of experiments, the tool provides the structure needed to prevent data loss and improve team productivity. Neptune.ai offers a free tier for individual researchers and scalable paid plans for commercial teams in 2026.
- Pricing: freemium
Specifications
| Pricing | freemium |
|---|---|
| Integrations | PyTorch, TensorFlow, Scikit-learn, Keras, Jupyter, Optuna |
| Best for | data-scientists, ml-engineers, research-teams, ctos |
| Website status checked | 2026-10-20T12:03:03.771+00:00 |
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