Latest Version
2.1 Safe to install
2.1 Safe to install
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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