Python IDE & Jupyter vs TrackOSC

Zero-setup Python IDE that runs your code offline, an AI coding assistant, and a developer toolbox — in a first-class citizen app for iPad and iPhone. Juno is designed to cover all your Python coding needs, supporting both Python scripts (.py) and Jupyter notebooks (.ipynb) — a document format focused on applying Python to data analysis and computational science. FREE FEATURES - Navigate and manage files and folders, quickly preview documents and media - Browse and edit Jupyter notebooks in a powerful, customizable notebook editor with beautifully rendered previews — editing is free - Write and edit code sources, scripts, JSON, XML, and other text-based formats — one versatile editor for code and text alike, with syntax highlighting - Add quick access bookmarks for file system locations outside the app's sandbox, or simply open documents in place PRO FEATURES Only one thing in Juno is Pro: running code. Even that is free to try — a generous trial allowance lets you run notebooks, scripts, projects, and the REPL before you buy. After the trial, running code unlocks with a one-time Pro purchase — not a subscription. - Run Jupyter notebooks, Python scripts, and whole projects locally with the built-in Python 3.13 interpreter and a full suite of up-to-date, preinstalled scientific and data packages — entirely offline - Explore interactively in a Python REPL — open a standalone prompt, or drop into it after running a script or project to keep exploring what it defined - Search the variables, functions, and imports in your session with the Object Inspector — no need to print each one - Open any folder as a project: file tree, multiple editor tabs, run any script, with a coding assistant aware of the whole project - Keep side outputs — Preview, Browser, Console, Object Inspector — open as side-by-side tabs in an output sidebar - View local web servers and HTML your code produces in a built-in browser with developer debug tools - Long-running scripts and Jupyter sessions keep going in the background - Automate with Shortcuts and Siri: App Intents run a Python file, run Python code, or open a file — pass arguments and files, capture output, and chain actions - Leverage powerful data analysis, machine learning and developer tools: NumPy, pandas, Polars, DuckDB, Matplotlib, SciPy, Scikit-learn, OpenCV, pygame, and more - Enjoy painless package management: install any pure Python package with an intuitive package manager AI CODING ASSISTANT The assistant runs on your account or your key, not ours: sign in with your account or add your OpenAI, Anthropic, or Gemini API key, and requests go straight from your device to your provider. You control what you spend and share — Juno never takes a cut. GAMES AND EMULATORS pygame is built in: write games with touch controls, sound, and full-screen graphics, and play them on your device. Eight complete games ship as examples, alongside NES, Game Boy, and CHIP-8 emulators written in Python, each with a library of freely licensed homebrew games — play them, then open the code to see how they work. PYTHON MEETS iOS Reach native iOS APIs straight from Python with the built-in juno modules: clipboard, Keychain, device info, location, motion sensors, contacts, reminders, photos, sound, notifications, sharing, and Bluetooth. Show native alerts and pickers, present full-screen image, video, and web previews, or call into UIKit, Foundation, and any Objective-C framework via the Objective-C bridge. SCRIPTS AND NOTEBOOKS Python scripts (.py) get snappy, intelligent code completion, a console with a full terminal emulator, and a built-in media viewer for code-generated images, plots, and web apps. Jupyter notebooks (.ipynb) keep live code, markdown text, plots, images, and LaTeX equations in one file, with every output embedded right in the document — a perfect playground for data analysis and computational science.

TrackOSC turns your iPhone into a wireless motion-tracking camera. Point it at a person and it streams live tracking data – body poses in 2D and 3D, hand poses, face landmarks, recognised text, animals, people, barcodes, outlines, the horizon and rectangles – over your local network as OSC (Open Sound Control) messages, ready for TouchDesigner, Max/MSP, Processing, openFrameworks, Pure Data, SuperCollider, Unity, or anything else that speaks OSC. All processing happens on-device with Apple's Vision framework. No video ever leaves your phone – only numbers. WHAT IT TRACKS • 2D Body: a 17-joint skeleton in pixels • 3D Body: a 17-joint skeleton in metres – real depth from a single camera, with each joint's pixel position alongside • Hand: 21 joints per hand, up to two hands • Face: the face box, head rotation and jawline contour, and Face Landmarks: the full 76-point constellation – eyes, pupils, brows, nose, lips, jaw • Text: recognised text with its bounding box • Animal: cat and dog boxes, and Animal Pose: full 25-joint cat and dog skeletons • Human: whole-body boxes that keep counting people at distances where pose estimation gives up • Barcode: QR codes and 1D/2D barcodes with position, corners, symbology and payload • Contours: every edge outline in the frame as closed polylines • Horizon: the horizon's angle and a line across the frame • Rectangles: screens, paper, doors – a box plus four corners FEATURES • Live tracking overlays on the camera view, colour-coded per detector • One chip per detector – run just what you need for the best frame rate; 3D Body runs in its own lane so it never slows the others • Front or back camera, with a natural selfie mirror (wire data is never mirrored) • Portrait and landscape, with an orientation lock for phones mounted on tripods and rigs • Automatic discovery of receivers on your network via Bonjour – or type any IP and port • Hide-video mode: tracking overlay only, on black – for stage and installation use • Free, notarised macOS companions – a Receiver with 2D and 3D views, a Recorder that records and replays the stream, a Speaker that reads it aloud, and a Router that turns it into MIDI, Shortcuts, key presses and HTTP – plus open-source receiver examples for Processing, Python, p5.js, TouchDesigner, Max/MSP, Pure Data, openFrameworks and SuperCollider, all from the project page COMPATIBILITY TrackOSC speaks exactly the same OSC wire format as VisionOSC and PoseOSC, so existing receivers and patches work unchanged. The newer detectors arrive as additional messages that older receivers simply ignore. Coordinates are in pixels, origin top-left, with the frame dimensions in every message. PRIVACY No accounts, no analytics, no ads. Camera frames are analysed on the device and discarded; tracking data is sent only to the destination you choose. TrackOSC is open source: https://github.com/JGL/TrackOSC