neptune-ai/neptune-client

📘 The experiment tracker for foundation model training

67
/ 100
Established

When you're training large machine learning models, this tool helps you keep track of all your experiments. It logs details about your model's performance, hyperparameters, and datasets, making it easy to compare different runs. Data scientists, ML engineers, and researchers can use this to manage their model development.

620 stars. Used by 3 other packages. Available on PyPI.

Use this if you are developing or fine-tuning foundation models and need a robust way to log, organize, and compare the results of many training runs.

Not ideal if you are a business user or analyst looking for a no-code solution for data visualization or simple analytics.

machine-learning-operations model-training experiment-tracking AI-development deep-learning-research
Maintenance 10 / 25
Adoption 13 / 25
Maturity 25 / 25
Community 19 / 25

How are scores calculated?

Stars

620

Forks

70

Language

Python

License

Apache-2.0

Last pushed

Mar 02, 2026

Commits (30d)

0

Dependencies

19

Reverse dependents

3

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