Carnets vs FastLabel

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.

FastLabel is the fastest way to label image datasets on your iPhone. Import a ZIP with images, define your labels, and start labeling instantly. Designed for speed and simplicity, FastLabel lets you go through large datasets quickly with a smooth, one-by-one workflow. Features: • Import images from ZIP files (JPG, PNG, JPEG) • Fast, focused labeling experience • Simple label set creation • Overview of all images in a grid • Continue where you left off • Export labels as JSON, CSV, or JSONL • Optionally export images together with labels Perfect for: • Machine learning datasets • Computer vision projects • AI training data preparation • Quick annotation tasks on the go All data stays on your device. No accounts, no uploads, no tracking.