TensorBoard

TensorBoard is TensorFlow’s toolkit for visualizing machine learning data and model activity.

github.com/tensorflow/tensorboard
TensorBoard homepage screenshot

About TensorBoard

TensorBoard is a suite of web applications from TensorFlow for inspecting and understanding TensorFlow runs and graphs. It reads event files from a log directory and presents visualizations covering scalars, images, audio, text, histograms and graphs, with tags used to organize data in the front end.

It is designed to run entirely offline, for example on a local machine, behind a corporate firewall, or in a datacenter. Before starting it, users must generate summary data in a log directory with a summary writer; the tool requires a logdir to read logs from. After launch it is accessed at http://localhost:6006, and it is intended for use in Google Chrome or Firefox, though other browsers may work with possible bugs or performance issues.

Key features

  • Suite of web applications for inspecting TensorFlow runs and graphs
  • Visualizes scalars, images, audio, text and histograms
  • Runs entirely offline, including behind firewalls or in datacenters
  • Requires a log directory containing event files
  • Organizes data by tags, including folder-style hierarchies via slashes
  • Documents how to add plugins
Best for: Machine learning practitioners working with TensorFlow who need to inspect runs, graphs and training data locally.
Good for
  • Designed to run entirely offline without internet access
  • Covers several data types: scalars, images, audio, text and histograms
  • Open source repository with documentation and a plugin guide
Watch out for
  • Requires summary data to be written to a log directory before use
  • Only Chrome and Firefox are explicitly supported; other browsers may have bugs or performance issues

TensorBoard at a glance

Type
Open-source project
Pricing
Not confirmed. Check the site
Open source
Yes · Source code
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

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TensorBoard FAQ

Does TensorBoard require internet access?
No. It is designed to run entirely offline, for instance on a local machine, behind a corporate firewall, or in a datacenter.
What do I need before running TensorBoard?
You must first generate summary data in a log directory using a summary writer. TensorBoard requires a logdir to read logs from, and is then run with the --logdir option.
Which browsers are supported?
TensorBoard can be used in Google Chrome or Firefox. Other browsers might work, but there may be bugs or performance issues.
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