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.






249+ iOS apps curated and reviewed
From beginner-friendly picks to power-user tools, our peterjohn pytorch mps list covers 249+ iPhone apps updated through August 2026. Compare ratings, prices, and screenshots in one place.
| # | App | Price | Rating | Ads | In-App Purchases | Updated |
|---|---|---|---|---|---|---|
| 1 | $16.99 was $19.99 | — | No | No | Aug 2026 | |
| 2 | Free | 5.0★ (4) | No | Yes | Aug 2026 | |
| 3 | $1.99 | — | No | No | Aug 2026 | |
| 4 | $1.99 | — | No | No | Jul 2026 | |
| 5 | Free | 4.6★ (316) | No | No | Aug 2026 | |
| 6 | Free | 4.4★ (21) | No | No | Aug 2026 | |
| 7 | Free | 4.6★ (1.7K) | Yes | No | Aug 2026 | |
| 8 | Free was $17.99 | 4.6★ (1.1K) | No | Yes | 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.






Master PyTorch with this app's comprehensive tutorials, code examples, and interview preparation tools. Learn deep learning fundamentals and advanced techniques for building machine learning models.




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 brings powerful AI language models to your devices, operating entirely offline for enhanced privacy. It allows you to download models, integrate your own documents, and access curated textbooks for intelligent assistance and analysis.


Master Python 3 programming with this comprehensive app. It offers bite-sized lessons, a built-in compiler for hands-on practice, and quizzes covering core concepts and popular frameworks. Become a job-ready programmer with lessons on web development, AI, and machine learning.


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.


Monitor machine learning experiments remotely. View metrics, compare runs, and manage training jobs from your mobile device. Optimized for ML engineers to stay updated on projects and system performance.


This free utility app provides detailed information about your device's hardware and software. It measures real CPU frequency, frequency reduction, and offers insights into your screen, battery, network, GPU, RAM, and sensors.


Engage in conversations with open language models directly on your iPad or iPhone. Once a model is downloaded, all interactions occur locally, ensuring privacy and offline functionality without internet access. This app is designed for non-commercial use, allowing you to run various open-source language models on your device.


Measure the performance of your mobile device's CPU and GPU. Compare your results against the latest devices and understand real-world usage scenarios. Supports cross-platform comparisons.


Access essential system information and developer tools on your iPhone and iPad. This app offers detailed device specifications, storage, battery, and network data, alongside a suite of powerful utilities like JSON formatting, QR code generation, and text comparison.


This app allows you to write, compile, and run Python code directly on your iOS device. It supports popular data science and machine learning libraries, making it a portable development environment for Python enthusiasts.


This app offers a powerful integrated development environment for Python, C, and C++ on iOS devices. It includes a Python interpreter with extensive libraries, a C/C++ compiler, a terminal, and a code editor with advanced features like code completion and debugging.


Monitor machine learning training in real-time with alerts and console log streaming. Track training status, view stack traces, and easily contact developers for support. Integrates with popular ML libraries on cloud or local machines.


Measure the machine learning capabilities of your Apple device. It includes tests for vision and language tasks, evaluating the performance of your CPU, GPU, and Neural Engine.


This AI assistant runs entirely on your device, offering complete privacy and offline functionality. It allows you to ask questions, brainstorm ideas, draft content, and more without needing an internet connection or an account.




Explore and improve on-device AI models with this open-source tool. It allows developers to prototype AI experiences locally without cloud connectivity, ensuring complete user privacy. Researchers can test and integrate models directly on their devices.