LispPad Go 2.1

LispPad Go 2.1

Matthias Zenger – Freeware – iOS
out of 29 votes
Latest Version
2.1
Safe to install
EXCELLENT User Rating

LispPad Go is an integrated development environment designed for developing and running Scheme code on iOS. The platform uses a Scheme dialect based on the R7RS standard, providing various useful components:

  • A built-in Scheme interpreter
  • A console with a read-eval-print loop for interaction
  • A text editor supporting syntax highlighting, smart indentation, and parenthesis matching
  • An extensive library collection, including iOS-specific libraries for graphics, audio, databases, text processing, and more

This Scheme dialect offers several advanced features, such as R7RS-compliant libraries, hygienic macros using syntax-rules, first-class environments, and support for various functionalities including delayed execution through promises and streams. Additionally, it supports a wide range of data types like Unicode strings, vectors, bytevectors, text and binary ports, and records compliant with R7RS.

LispPad Go aims to provide a comprehensive environment for Scheme programming on iOS devices, making it a valuable tool for developers seeking efficient and reliable software development capabilities.

Overview

LispPad Go is a Freeware software in the category Development developed by Matthias Zenger.

The latest version of LispPad Go is 2.1, released on 12/18/2024. It was initially added to our database on 03/22/2024.

LispPad Go runs on the following operating systems: iOS.

Users of LispPad Go gave it a rating of 5 out of 5 stars.

Pros

  • User-friendly interface with interactive editor and debugger
  • Support for different Lisp dialects including Scheme, Clojure, and Common Lisp
  • Ability to run code directly on iOS devices
  • Offline support for coding on the go
  • Syntax highlighting and auto-completion features to enhance coding experience

Cons

  • Limited functionality compared to desktop Lisp environments
  • May not be suitable for complex or large-scale projects
  • Limited third-party library support compared to desktop environments
  • Potential constraints in terms of processing power and memory on mobile devices

Screenshots (Click to view larger)

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