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Visualize and compare algorithm results. Optimize parameters. Share results and track progress.

Project description

QA-Board logo

Experiment tracking framework with advanced viewers.
Helps algo/ml/perf engineers share results, collaborate, and build better products.

qaboard-chat PyPI Docs CI

Features

  • Organize, View and Compare Results, Tuning/Optimization
  • Web-based, with sharable URLs.
  • Visualizations: support for quantitative metrics, and many file formats: advanced image viewer, support for videos, plotly graphs, flame graphs, text, pointclouds, HTML...
  • Integrations: direct access from Git and CI tools, easily exportable results, API, links to the code, trigger gitlabCI/jenkins/webhooks...
  • Agnostic to your language/framework: run your existing code, write files, view them.

For screenshots check our website.

Benefits

QA-Board across many projects enables us to:

  • Scale R&D: enable engineers to achieve more and be more productive.
  • Faster Time-to-Market: collaboration across teams, workflow integration..
  • Quality: uncover issues earlier, KPIs, tuning, reporting...

Getting Started

Read the docs! You will learn how to:

  • Start a QA-Board server
  • Wrap your code with QA-Board
  • View output files and KPIs
  • ...and setup parameter tuning, integrations with 3rd party tools, etc.

If you want to learn about the code's organization, or how to contribute, read CONTRIBUTING.md

Feedback? Questions? Need Help? Found a bug?

Don't hesitate to get in touch! Contact arthur.flam@samsung.com, we'll be delighted to hear your insights.

If you've got questions about setup, deploying, want to develop new features, or just want to chat with the developers, please feel free to start a thread in our Spectrum community!

Found a bug with QA-Board? Go ahead and submit an issue. And, of course, feel free to submit pull requests with bug fixes or changes to the master branch.

Contributors

QA-Board was started at Samsung SIRC by Arthur Flam.

Thanks to the following people for their contributions, testing, feedback or bug reports: Amir Fruchtman, Avi Schori, Yochay Doutsh, Itamar Persi, Amichay Amitay, Lena Grechikhin, Shai Shamir, Matan Danino, Roy Shaul, Gal Hai, Rivka Emanuel, Ela Shahar, Nadav Ofer, David Nukrai. Thanks also to Sebastien Derhy, Elad Rozin, Nathan Levy, Shahaf Duenyas, Yotam Ater, Asaf Jazcilevich and Yoel Yaffe for supporting the project.

You don't see your name? Get in touch to be added to the list!

Credits

  • The logo is a the Poodle twemoji 🐩, recolored in Samsung Blue 🔵. Copyright 2019 Twitter, Inc and other contributors. Code licensed under the MIT License. Graphics licensed under CC-BY 4.0

Project details


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