Pyroid

A complete Python development environment that runs entirely on your device.

Pyroid bundles a real CPython interpreter inside the app, so your code runs offline — on a plane, on the subway, anywhere. No account, no server, no setup. Just open a file and hit RUN.

WHAT YOU CAN DO

• Run Python offline
Your scripts run in an embedded interpreter on your iPhone or iPad, with no internet connection.

• 190+ libraries, preinstalled
NumPy, pandas, Matplotlib, Seaborn, SciPy, scikit-learn, SymPy, Plotly, Bokeh, Pillow, Requests, Flask, Django, Kivy, Pygame and many more are ready to import from the first launch.

• Package manager
Browse what is installed with versions, authors and project links, then search PyPI to install more pure-Python packages — or uninstall what you no longer need.

• Jupyter notebooks
Open, edit and run .ipynb files in a real cell-based editor. Mix code and Markdown cells, run them one at a time, and see output, tracebacks and inline images right where you expect them.

• Multi-tab editor
Work across several files at once and switch instantly with a smooth tab bar.

• Smart code assistance
Syntax highlighting, suggestions drawn from your real Python environment as you type, real-time syntax checking, code folding, and Find & Replace inside the current file.

• Step-by-step debugger
Set a breakpoint on any line, then step over, into or out of your code — inspecting local and global variables, the call stack and watch expressions at every stop.

• 100 coding challenges
A built-in Practice screen with 100 Python problems, from your first loop to graph algorithms. Write the function, try it on the sample cases, then submit and get graded on hidden test cases — with hints, XP and a daily streak.

• Rich, visual output
A console for stdout and stderr, and a Preview tab that renders Matplotlib charts, opens interactive Plotly/Bokeh charts in a built-in viewer, and gives Markdown files a live preview.

• A real workspace
Create projects, files and folders; import from the Files app; clone a public GitHub repository; reopen recent work in a tap; and restore anything you deleted from Trash.

• Learn as you go
Every install starts with a built-in library: a 10-chapter Python course, from variables to loops, and a Data Science track covering NumPy, pandas, Matplotlib and Seaborn — all as editable, runnable files.

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