With this app, you can create, edit, and run Jupyter notebooks directly on your device, utilizing embedded Python and pre-installed packages. Includes support for Markdown, package management with %pip, and notebook sharing features.
AppRecs review analysis
AppRecs rating 4.6. Trustworthiness 77 out of 100. Review manipulation risk 21 out of 100. Based on a review sample analyzed.
★★★★☆
4.6
AppRecs Rating
Ratings breakdown
5 star
80%
4 star
9%
3 star
4%
2 star
2%
1 star
5%
What to know
✓
Low review manipulation risk
21% review manipulation risk
✓
Credible reviews
77% trustworthiness score from analyzed reviews
✓
High user satisfaction
80% of sampled ratings are 5 stars
About Carnets - Jupyter
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.
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.
