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)". You can share your notebooks with other apps and also open notebooks or directories managed by other apps. Partial list of installed packages: astropy, babel, bokeh, cryptography, cvxopt, Fiona, geopandas, geopy, lxml, matplotlib, numpy, openCV, pandas, pillow, pyFFTW, pyproj, rasterio, regex, shapely, sympy, wordcloud.
Latest release
What’s New
- bug fixes for brackets on external non-US keyboards - bug fixes for kiwisolver and ctypes
Audience growth
Ratings growth
Baseline captured. Growth appears after the crawler observes a changed rating count.
Momentum comes from crawler snapshots for the tracked storefront. “Viral growth signal” means unusually fast recent rating gains; it is an indicator, not download data.
Price tracking
Price intelligence
First snapshot captured. The trend line starts after the next crawler price observation.
- First observed Aug 13, 2026 · 1:40 AM Free
Screenshots
