JupyDash — notebook dashboards

JupyDash

Drag a Jupyter notebook in. Get a live, modular dashboard of its outputs.

a working mini JupyDash board ===== -->

signal.ipynb

In [1]freq = 1.0<br>amp = 1.0<br>threshold = 0.60 ✨

In [2]y = amp*sin(freq*x) + noise<br>ax.plot(x, y)

In [3]ax.hist(y, bins=14)

In [4](y > threshold).sum()

In [5]pd.Series(y).describe()

JupyDash<br>▶ Run all<br>Auto ⟳ 2s<br>✓ 11 ms

Signal⠿

Above threshold⠿

0 of 120 samples

Distribution⠿

Stats⠿

mean0.00<br>std0.00<br>max0.00

✨ Detected knobs

JupyDash pulled these from the code — drag one to re-run.

freq1.0

amp1.0

threshold0.60

Download for macOS

Universal (Apple Silicon + Intel) · macOS 11+ · runs notebooks in your own Jupyter kernel (ipykernel)