32 releases (2 stable)
1.1.1-next.8 | Nov 8, 2024 |
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1.1.1-next.6 | Oct 27, 2024 |
1.1.0 | Jul 19, 2024 |
1.0.0 | Jan 5, 2024 |
1.0.0-alpha.4 | Jul 5, 2023 |
#94 in Programming languages
191 downloads per month
275KB
4K
SLoC
Brainfoamkit
This project aims to implement a brainfuck interpreter in Rust. In addition, this also aims to provide a terminal-based TUI for stepping through and understanding the brainfuck programs.
Builds
Stable | Beta | Nightly | MSRV (1.75.0) | |
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Linux | ||||
Windows | ||||
macos |
Rationale
Brainfuck is an interesting esoteric language. It is turing complete and can essentially be used as a general purpose programming language. However, it has only 8 individual symbols that are used to instruct the interpreter. This makes it both fun and challenging to implement.
While several C and C++ interpreters for Brainfuck exist, I believe that it is particularly well suited for implementation in Rust due the combination of memory-safety, speed and zero-cost abstractions. Additionally, the interpreter is expected to be non-trivial in complexity while still only scratching the surface of the features Rust has to offer. Thus, it provides an excellent educational opportunity for someone trying to learn Rust.
Details
The major details for the project are available in the BrainFoamKit Book.
(Planned) Features
- A complete brainfuck interpreter capable of ingesting a brainfuck program and behaving appropriately
- A modular system for the said interpreter, allowing for extensions and modifications
- A configurable brainfuck virtual machine to interpret the programs.
- A fully capable TUI to visualize and step through a brainfuck program
Current Status
- Implement basic building blocks for the Virtual Machine
- Implement the Virtual Machine to run the code
- Implement a parser for parsing the input program
- Design the TUI for the visualizer
- Implement the TUI with the Virtual Machine and parser
Contributing
See the Contributing for details on how to contribute to the project.
You can contribute to the project through GitPod.
Code of Conduct
This project is governed by the Contributor Code of Conduct Covenant. Details are outlined in the CODE OF CONDUCT.
Dependencies
~10–21MB
~304K SLoC