neptune: MLOps Metadata Store - Experiment Tracking and Model Registry for Production Teams

An interface to Neptune. A metadata store for MLOps, built for teams that run a lot of experiments. It gives you a single place to log, store, display, organize, compare, and query all your model-building metadata. Neptune is used for: • Experiment tracking: Log, display, organize, and compare ML experiments in a single place. • Model registry: Version, store, manage, and query trained models, and model building metadata. • Monitoring ML runs live: Record and monitor model training, evaluation, or production runs live For more information see <>.

Version: 0.2.3
Imports: reticulate (≥ 1.22), this.path (≥ 0.4.4), rstudioapi (≥ 0.7), ggplot2 (≥ 3.3.5), plotly (≥, htmlwidgets (≥ 1.5.3), methods
Published: 2022-04-13
DOI: 10.32614/CRAN.package.neptune
Author: Mateusz Dominiak [aut], Rafal Jankowski [aut, cre]
Maintainer: Rafal Jankowski <rafal.jankowski at>
License: Apache License 2.0 | file LICENSE
NeedsCompilation: no
SystemRequirements: Python (>= 3.0.0), Neptune (
Materials: README
CRAN checks: neptune results


Reference manual: neptune.pdf


Package source: neptune_0.2.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): neptune_0.2.3.tgz, r-oldrel (arm64): neptune_0.2.3.tgz, r-release (x86_64): neptune_0.2.3.tgz, r-oldrel (x86_64): neptune_0.2.3.tgz
Old sources: neptune archive


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