[D] Comparison of experiment tracking tools

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning
Machine Learning Keras Pytorch Tensorflow reinforcement-learning

SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
surveyjs.io
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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.
www.influxdata.com
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  • guildai

    Experiment tracking, ML developer tools

    • Creator of Guild AI here.

  • aim

    Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

    • Probably can't add everything there, but I'd say Aim would be a good addition to this list: https://aimstack.io/

  • SurveyJS

    Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

    SurveyJS logo

  • tensorboard

    TensorFlow's Visualization Toolkit

    • A quick google search is telling me that this is possible but very poorly documented / communicated: https://github.com/tensorflow/tensorboard/issues/767

  • wandb

    🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

    • Looking through the repo now I think only portions are open source, like the sweeps feature: https://github.com/wandb/client/tree/master/wandb/sweeps so I guess it’s just semi open-source

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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