Neptune.ai is a metadata store and experiment tracking tool for machine learning (ML) and deep learning (DL) projects. It helps data scientists and ML engineers log, organize, and monitor experiments, models, and results in one centralized platform. Neptune is widely used for improving reproducibility, collaboration, and model lifecycle management.

Features of Neptune.ai:

• Tracks and compares ML experiments, metrics, and hyperparameters.
• Stores datasets, artifacts, and model versions with lineage tracking.
• Provides a collaborative dashboard for teams to share insights.
• Offers model registry capabilities for versioning and deployment readiness.
• Integrates with popular ML/DL frameworks like TensorFlow, PyTorch, Scikit-learn, and HuggingFace.
• Supports visualization, reporting, and real-time monitoring of experiments.

To check the installed version of Neptune.ai, run these commands in your environment:

$ sudo su
$ sudo apt update
$ cd /opt/neptune
$ python3 -m pip show neptune

Disclaimer: Neptune.ai is provided as a SaaS and Python package maintained by the Neptune.ai team. It offers both free and paid plans. Users are responsible for securely managing API tokens and projects. Always refer to the official Neptune.ai documentation for the latest features, integrations, and security practices.