We Raised $8M Series A to Continue Building Experiment Tracking and Model Registry That “Just Works”

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Get more out of tools you use every day

Integrate Neptune with your favorite frameworks, tools and libraries.

Languages

Python

use neptune-client to keep track of experiments that you run with Python.

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R

Track machine learning experiments from R to Neptune.

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IDEs and notebooks

Deepnote

Run experiments in Deepnote notebooks and log them to Neptune.

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Google Colab

Run your experiments on Google Colab and track them with Neptune.

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Jupyter Lab and Jupyter Notebook

Run your experiments in Jupyter notebooks and track them in Neptune.

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AWS SageMaker

Integrate your AWS SageMaker notebooks with Neptune and enable, sharing and diffing notebook checkpoints, notebook auto-snapshots when running experiments and more!

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Model training frameworks

Scikit-Learn

Track your classifiers, regressors, and k-means clustering results with Neptune.

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fastai

Keep track of and manage fastai experiments in Neptune.

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PyTorch

Keeping track of PyTorch model training metadata with Neptune.

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Keras

Automatically track Keras model training progress to Neptune.

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XGBoost

Automatically track XGBoost training progress to Neptune.

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PyTorch Lightning

Automatically log PyTorch Lightning metrics to Neptune.

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PyTorch Ignite

Automatically track PyTorch Ignite model training progress to Neptune.

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skorch

Automatically track skorch model training progress to Neptune

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TensorFlow

Automatically log TensorFlow data to Neptune.

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lightGBM

Automatically track LightGBM model training progress to Neptune.

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Catalyst

Automatically track Catalyst model training progress to Neptune.

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Model tuning and hyperparameter optimization frameworks

Keras Tuner

Monitor your hyperparameter search in Neptune.

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Scikit-Optimize

Log metrics, parameters, and visualizations from Scikit-Optimize hyperparameter sweeps to Neptune.

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Optuna

Log metrics, parameters and interactive visualizations from Optuna hyperparameter sweeps to Neptune.

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Model visualization and debugging frameworks

DALEX

Log DALEX global and local explanations as well as the dalex.expainer objects to Neptune.

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HTML

Log any standalone HTML objects to Neptune.

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Pandas

Log pandas dataframes as HTML tables to Neptune.

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Plotly

Log interactive plotly charts to Neptune.

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Altair

Lg interactive altair charts to Neptune.

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Bokeh

Log interactive bokeh charts to Neptune.

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TensorBoard

Upload TensorBoard runs for backup and further analysis.

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matplotlib

Log matplotlib figures to Neptune. You can have them stored as static images or convert them on the fly to interactive plotly charts.

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Pipelines and Orchestration

Kedro

Have all the benefits of a nicely organized kedro pipeline with a powerful Neptune UI for filtering, comparing, displaying, and organizing ML metadata generated in pipelines and nodes.

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Experiment tracking frameworks

Sacred

Add a NeptuneObserver to log all your Sacred experiments to Neptune.

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MLflow

Sync MLflow runs with Neptune and take advantage of powerful UI, collaboration features, user management and more!

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TensorBoard

Upload TensorBoard runs for backup and further analysis.

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