We do everything in the terminal now — so why not look at TensorBoard there too?
Open source (MIT), a solo side project: https://github.com/dongfangyixi/terminalboard
PyPI: terminalboard
These days I run basically my whole workflow in the terminal — vim/nvim, tmux, lazygit, k9s, btop, files, git, SSH into GPU boxes… everything. The one thing that kept kicking me out of it was
TensorBoard: forward a port (ssh -L 6006:localhost:6006), switch to a browser, and open that in there.
So I and (claude code of course), built terminalboard: it reads the events.out.tfevents.* files directly and draws everything in the terminal, as Unicode/braille text. No browser, no X11, no port-forwarding — a plain SSH session (or your local shell) is all you need.
Optional LLM assistant (off until you set it up): press "a" to chat with your runs — it can analyze
("which run is overfitting?") and drive the dashboard ("show val losses, smoothed").
Bring-your-own-model via LiteLLM incl. local Ollama/vLLM; the key stays on your machine and its
actions are a fixed typed whitelist (no shell).
Try it:
pip install terminalboard
terminalboard path/to/logs (where your tensorboard logs save to)
Once it open type H (shift + h) for Help document.
Hope you have fine in there. And this is a new project, so welcome to fock and pull request to it if you want some more features.
It is still early — feedback very welcome:
- Does it handle your logs (weird tags, huge runs, many experiments)?
- What's missing for your terminal workflow?
- Is the AI part useful, or noise you'd turn off?