Get more out of tools you use every day

Python

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

Find out more

Any Language

Log information from the experiment you run with any language to Neptune.

Find out more

R

Track machine learning experiments from R to Neptune.

Find out more

Deepnote

Run experiments in Deepnote notebooks and log them to Neptune.

Find out more

Google Colab

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

Find out more

Jupyter Lab and Jupyter Notebook

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

Find out more

AWS SageMaker

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

Find out more

Scikit-Learn

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

Find out more

fastai

Keep track of and manage fastai experiments in Neptune.

Find out more

PyTorch

Keeping track of PyTorch model training metadata with Neptune.

Find out more

Keras

Automatically track Keras model training progress to Neptune.

Find out more

XGBoost

Automatically track XGBoost training progress to Neptune.

Find out more

PyTorch Lightning

Automatically log PyTorch Lightning metrics to Neptune.

Find out more

PyTorch Ignite

Automatically track PyTorch Ignite model training progress to Neptune.

Find out more

skorch

Automatically track skorch model training progress to Neptune

Find out more

TensorFlow

Automatically log TensorFlow data to Neptune.

Find out more

lightGBM

Automatically track LightGBM model training progress to Neptune.

Find out more

Catalyst

Automatically track Catalyst model training progress to Neptune.

Find out more

Keras Tuner

Monitor your hyperparameter search in Neptune.

Find out more

Scikit-Optimize

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

Find out more

Optuna

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

Find out more

DALEX

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

Find out more

HTML

Log any standalone HTML objects to Neptune.

Find out more

Pandas

Log pandas dataframes as HTML tables to Neptune.

Find out more

HiPlot

Fetch experiment information from Neptune directly into HiPlot parameter visualization in your Jupyter Notebook.

Find out more

Plotly

Log interactive plotly charts to Neptune.

Find out more

Altair

Lg interactive altair charts to Neptune.

Find out more

Bokeh

Log interactive bokeh charts to Neptune.

Find out more

TensorBoard

Upload TensorBoard runs for backup and further analysis.

Find out more

matplotlib

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

Find out more

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.

Find out more

Sacred

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

Find out more

MLflow

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

Find out more

TensorBoard

Upload TensorBoard runs for backup and further analysis.

Find out more

Telegram

Use a telegram bot to fetch experiment information from Neptune.

Find out more