All comparisons

Neptune Competitor Comparison Pages

See why people switch to Neptune and how it compares feature-by-feature as an experiment tracker and model registry

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mlflow

Neptune vs MLflow

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Weights & Biases

Neptune vs Weights & Biases

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TensorBoard

Neptune vs TensorBoard

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Comet

Neptune vs Comet

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ClearML

Neptune vs ClearML

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Sacred Omniboard

Neptune vs Sacred + Omniboard

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aws sagemaker

Neptune vs Amazon SageMaker

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dvc

Neptune vs DVC

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Neptune vs Azure ML

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Polyaxon

Neptune vs Polyaxon

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Pachyderm

Neptune vs Pachyderm

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Kubeflow

Neptune vs Kubeflow

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guild AI

Neptune vs Guild AI

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Dagshub

Neptune vs DagsHub

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aim stack

Neptune vs Aim

Give Neptune a try

1

Sign up to Neptune and install client library

pip install neptune-client
2

Track experiments

import neptune.new as neptune

run = neptune.init_run()
run["params"] = {
    "lr": 0.1, "dropout": 0.4
}
run["test_accuracy"] = 0.84
3

Register models

import neptune.new as neptune

model = neptune.init_model()
model["model"] = {
    "size_limit": 50.0,
    "size_units": "MB",
}
model["model/signature"].upload(
    "model_signature.json"
)
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Have more questions? Let’s talk

46594202c6aa8c0a87d01b649bbdbb72 (1)
Chaz Demera Account Executive

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