Carnets - Jupyter (with scipy)

Name: Carnets - Jupyter (with scipy)
Rating: 4.6 (86 reviews)
Author: Nicolas Holzschuch

By: Nicolas Holzschuch

Jupyter notebooks, with scipy

Features & Capabilities

Carnets lets you run Jupyter notebooks entirely on your iPad. It ships with JupyterLab as an option and includes SciPy, scikit-learn, seaborn, and coremltools for scientific computing and learning. All code runs locally with the embedded Python interpreter, so no internet connection is required.

Write code, mix in Markdown, and share notebooks with other apps. You can install additional pure-Python packages using %pip install, inspect installed packages with %pip list, and manage your environment offline. A broad collection of packages like numpy, pandas, matplotlib, astropy, geopandas, and more are available out of the box. Switch between notebook interfaces in Settings and explore data science workflows on iPad.

User Growth & Download Statistics

App Programming Education Open Source Data

By:

Nicolas Holzschuch

Rating:

4.60

(86)

Version:

1.9.1 Last updated: 2025-11-26

Version code:

880050663

Creation date:

2021-05-03

Compatible devices:

Size:

2.07GB

URLs:

Website ,Privacy policy

Full description:

Source:

Apple Apps Store

Data ingested on:

2026-06-07

Compare stats and ranking:

Ranking

# 158,730 ▲ 957

For Developers

Monetize with App Pass Boost with Extension Booster

Contact the developer

Chrome-Stats does not own this Apple app. Please use these information below to contact the Apple app developer.

Developed by:

Nicolas Holzschuch

Apple Apps Store

https://apps.apple.com/us/app/carnets-jupyter-with-scipy/id1559497253

Website:

https://holzschu.github.io/Carnets_Jupyter/

User Reviews

Users praise Carnets as a powerful, free iPad Jupyter environment with broad package support and strong on‑the‑go utility, especially for students and remote work. Repeated drawbacks center on data safety (cloud sync/data loss), UX/workflow gaps (no easy notebook creation, unclear use), missing core ML stack (Torch/TF, conda support, SSH), and stability issues (blank screens, install hiccups). Overall, a compelling concept hampered by reliability and usability challenges.

Pros

Broad package support and included libraries (Python, Jupyter, SciPy/Seaborn) deliver a full data‑science stack on iPad.
Free and highly capable Jupyter environment, valued by users who might otherwise pay for similar tooling.
Great for on‑the‑go ML coding on iPad, especially with iPad Pro and Magic Keyboard.
Useful for learning and coursework in data science, with many users leveraging it for online courses.
Ease of file management and handling of notebook/workspace on iPad.

Cons

Cloud storage integrations (OneDrive/Dropbox/Google Drive) can wipe notebooks or fail to sync, with no reliable checkpointing.
No straightforward way to create notebooks or a clear, cohesive UX; feels like an iframe-based wrapper rather than a complete product.
Missing core ML stack and environment features (no Torch/TF, no conda/miniforge, limited ability to run remote SSH)
Stability and reliability issues (blank screens on some systems, long installs, cells stopping after extended use)
Perceived lack of branding/identity and unclear purpose within the App Store (UX/navigation issues)

Recent reviews

I LIKE IT Y(^_^)Y

by 仙赛*****, 2025-12-10

As a CS student who wants to focus in machine learning and does part-time research in the field. I have absolutely loved using this for on-the-go coding on my ipad. What has surprised me the most is the support for so many packages that I use on a daily basis. My only wish for the app that keeps it from being perfect is not being able to ssh into other machines to run my jupyter code. While I can run most basic ML projects on my iPad, there is some research code that would make it massively easier to run through a remote machine. Hopefully this could be a feature added in the feature or even a different app if that is easier for the developer.