LispPad Go 2.0.1

LispPad Go 2.0.1

Matthias Zenger – Freeware – iOS
out of 29 votes
Latest Version
2.0.1
image/svg+xml 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 2.0.1, released on 04/03/2024. 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

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