206+ iOS apps curated and reviewed
The best matplotlib apps on iPhone average 4.5★ across 206+ titles — we've ranked them by what real users actually keep on their phones. Updated August 2026.
| # | App | Price | Rating | Ads | In-App Purchases | Updated |
|---|---|---|---|---|---|---|
| 1 |  | Free | 5.0★ (4) | No | Yes | Aug 2026 |
| 2 |  | Free | 4.6★ (316) | No | No | Aug 2026 |
| 3 |  | Free was $9.99 | 4.8★ (1K) | Yes | Yes | Aug 2026 |
| 4 |  | Free was $17.99 | 4.6★ (1.1K) | No | Yes | Aug 2026 |
| 5 |  | Free | 4.6★ (87) | No | No | Aug 2026 |
| 6 |  | $1.99 | — | No | No | Jul 2026 |
| 7 |  | $12.99 was $13.99 | — | No | No | Aug 2026 |
| 8 |  | $1.99 | 3.0★ (2) | No | No | Aug 2026 |
Run Python 3.14 and large language models entirely on-device with a full-featured IDE. Supports Jupyter-style notebooks, scientific computing libraries, and local AI inference without API keys.
This app offers a standalone Jupyter notebook environment for creating and running code snippets, combining them with text and Markdown. It includes pre-installed scientific packages and allows for offline use, making it ideal for education and research.
This app provides a powerful Python IDE for mobile devices, allowing users to write, run, and learn Python 3 code offline. It includes features for data science, interactive tutorials, and coding challenges, making it ideal for learners and developers.
This app provides a full-featured Python coding environment for mobile devices. It supports both Python scripts and Jupyter notebooks, offering offline execution, code completion, and access to popular data science libraries.
This app offers a full Jupyter notebook experience on your device, ideal for education and research. It includes scientific computation packages like SciPy and scikit-learn, allowing you to write and run Python code offline. Notebooks can be shared and opened from other applications.
This Python interpreter for iPhone allows you to study data science, deep learning, and reinforcement learning using NumPy and Matplotlib. It provides a user-friendly interface with tutorials and scripts to get started quickly.
This app teaches users how to create various static, dynamic, and interactive charts using Python's Matplotlib library. It covers a wide range of plot types, from simple line graphs to complex 3D visualizations and animations, making data presentation more intuitive.
Learn Python 3 with a comprehensive offline app. It offers structured courses, interactive tutorials, a code editor, and a Python interpreter. Master data analysis and machine learning concepts on your mobile device.
This app provides a full-featured Jupyter Notebook and Python 3 environment on your iPhone and iPad. Code, analyze data, and run machine learning projects anywhere with Google Colab compatibility and pre-installed libraries. It's designed for both beginners and professionals seeking a portable notebook experience.
This mobile application serves as a comprehensive Python development environment, allowing users to write, compile, and run Python code directly on their devices. It supports data science libraries and machine learning model training, offering a VS Code-like coding experience with intelligent suggestions and debugging tools.
