Deeplinks Toolkit vs Python Code Cards

DeepLinker helps iOS QA and developers work with universal links and custom deeplinks faster. Use DeepLinker to validate AASA configuration, keep a clean link library, import links from pasted text, and run quick or full test sessions with simple pass or fail tracking. Paste raw URLs, notes, or JSON snippets, review extracted links, and test them on device in a focused workflow.

Try the Python code you just found, right on your iPhone or iPad. See why it works by stepping through it. Python Code Cards combines an offline Python 3.14 runtime, an editor, and a step debugger with a notebook for your small code experiments. MADE FOR SMALL EXPERIMENTS • Check a snippet while reading a tutorial • Follow a loop or branch and inspect changing values • Keep useful code with your own notes START WITH CODE THAT ALREADY RUNS Five editable samples include FizzBuzz, Fibonacci, Binary Search, Bubble Sort, and Recursive Factorial. Change a number or condition and compare the results. This is a place to run and explore code, rather than a course or quiz app. PAUSE A LINE. SEE THE VALUES. Set breakpoints from line numbers. Continue, pause, step over, step into, and step out. Inspect variables, watch expressions, the call stack, and output as you debug. KEEP EACH EXPERIMENT AS A CARD Add code cards and notes. Edit, duplicate, collapse, and reorder them. Source, breakpoints, watches, and recent results stay together on your device. WRITE AND CHECK WITH LESS FRICTION Python syntax highlighting and local completion for keywords, built-ins, and symbols in your code. See standard output, exception lines, execution time, and resulting variables. Choose System, Light, or Dark appearance and switch the interface among 10 languages. NO ACCOUNT. NO ADS. NO TRACKING. The core app works without an internet connection. No analytics, tracking, or cloud sync. Cards and settings remain in local app storage and are not automatically sent to the developer. WHAT IS INCLUDED The bundled Python standard library is supported. Installing third-party packages with pip, AI completion, and cloud execution are not supported. Normal execution has a time limit.