Data science experiments management with Weights & Biases platform

This page summarizes the projects mentioned and recommended in the original post on /r/datasets
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  • neptune-client

    📘 The MLOps stack component for experiment tracking

    • Neptune is a lightweight run management tool that helps you keep track of your machine learning runs. It offers 3 types of subscriptions, 2 of which are paid. If you are going to use this service individually, then you will get free access.

  • MLflow

    Open source platform for the machine learning lifecycle

    • MlFlow is an open source platform for managing the machine learning lifecycle. This platform is great for single use, but not very suitable for use in large teams, or if you have a large number of experiments.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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