About this app
Jupyter notebooks are a powerful tool used in education and research. You can write small snippets of Python code and observe the result on screen, combine with paragraphs of text, using Markdown.
Carnets provides a complete, stand-alone, implementation of Jupyter notebooks. Everything runs on your device, using the embedded Python interpreter; you do not need an internet connection. You can chose between Jupyter notebooks and the more advance Jupyterlab using Settings.
Numpy, Sympy, Matplotlib, Pandas, lxml, bokeh, nbextensions (including ipywidgets) and many other packages are pre-installed. To see the full list of installed packages, type "%pip list" in a code window. You can add more packages using "%pip install packageName", but only if they are pure Python.
If you need scipy, seaborn or scikit-learn, please use our other App, "Carnets - Jupyter (with scipy)".…
Preview
Real screenshots from the store listing.
Independent evidence report
Evidence and review signals
This is where the page changes from an app-store listing into an evidence report: findings, important reviews, pricing and a dated history.
What we measured
Each line is a measurement published as a measurement, never a verdict.
Each line is a measurement, published as a measurement. Where we have not looked, the line says so rather than reading as a zero.
In the package we scanned
No package has been scanned for this app, so nothing is published about what it ships. That is an absence of evidence about the app, not a finding about it.
Graded bands · predicate set 1.4 · how these are measured
What the analysis found
App-specific findings, grouped by what each one rests on. How they are graded lives on its own page.
No review themes cleared the reporting threshold.
Assessment & version history
App changes and Appworthy events in one timeline.
What this app sells
Useful store-disclosed pricing, kept below the app listing.
Prices and terms as disclosed by the store listing.