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Pyobfuscate
Conversion Module

Online Jupyter Notebook Viewer — Open .ipynb Files

Open and view Jupyter .ipynb notebooks in your browser — markdown, code, and outputs — with no Python or Jupyter install.

Why use this tool?

Use the Notebook Viewer to open and read a .ipynb file instantly — no Python, no Jupyter, no install. Drop the file in and see the rendered markdown, highlighted code, and saved outputs, exactly as they were saved.

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Runs in your browser
Drop a .ipynb file here or click to choose
signups-analysis.ipynb6 cellspythonnbformat 4
Weekly signups analysis

A quick exploration of the signup data. This notebook renders entirely in your browser.

What we'll do:

  • Load the data with pandas
  • Peek at the first rows
  • Plot a quick bar chart
In [1]:
import pandas as pd
import matplotlib.pyplot as plt


df = pd.read_csv('signups.csv')
print('rows:', len(df))
print('columns:', list(df.columns))
Out:
rows: 1000
columns: ['day', 'signups']
In [2]:
df.head()
Out:
The chart
Outputs like this PNG are stored inside the .ipynb and shown as-is.
In [3]:
ax = df.plot.bar(x='day', y='signups', color='#2563eb', legend=False)
ax.set_title('Weekly signups')
plt.tight_layout()
plt.show()
Out:
output
In [4]:
total = df['signups'].sum()
rate = total / 0
Out:
Traceback (most recent call last):
  File "<ipython-input-4>", line 2, in <module>
    rate = total / 0
ZeroDivisionError: division by zero

Tool facts

Supported Python
Any .ipynb (nbformat v4)
Input limit
Limited only by your device
Last reviewed
2026-08-25

What it can't do

  • •Run or edit the notebook — it is a read-only viewer.
  • •Render interactive widgets (ipywidgets) or live plots.

About Jupyter Notebook Viewer

The Jupyter Notebook Viewer opens and renders .ipynb files right in your browser so you can read a notebook without installing Python, Jupyter, or anything else. Drop in a file and it displays each cell the way you'd see it in Jupyter: markdown formatted, code syntax-highlighted, and the saved outputs — printed text, result tables, images, and error tracebacks — shown in place.

It's built for the common moment when someone sends you a notebook, or you find one on GitHub or in a shared drive, and you just need to read it. Opening a raw .ipynb in a text editor shows a wall of JSON; spinning up a Jupyter server is overkill when you only want to look. This viewer is the quick path in between.

Under the hood, a notebook is a JSON document listing every cell with its type, source, and any saved outputs. The viewer parses that JSON locally and renders it right in your browser. HTML outputs (like pandas tables) are rendered inside a locked-down sandbox so nothing embedded in the notebook can run.

Because it reads the saved outputs stored in the file, the viewer shows results without executing any code — it never runs the notebook, so opening an unfamiliar .ipynb is safe. If you also need the runnable Python, use the companion Jupyter-to-Script converter to extract the code cells as a clean .py file.

Frequently Asked Questions

Drop the .ipynb file into this viewer (or click Open) and it renders the notebook in your browser — markdown, highlighted code, and saved outputs — with no Python or Jupyter installation needed.

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