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What is schemeling?

keyan/schemeling — explained in plain English

Analysis updated 2026-07-03 · repo last pushed 2015-02-04

PythonAudience · developerComplexity · 2/5DormantSetup · easy

In one sentence

Schemeling is a Python library that parses Scheme code text and converts it into structured data your programs can easily work with and manipulate.

Mindmap

mindmap
  root((repo))
    What it does
      Parses Scheme code
      Builds nested tree
      Returns Python objects
    Tech stack
      Python
      Scheme parsing
    Use cases
      Code editor highlighting
      Automated refactoring
      Custom interpreters
    Audience
      Tool builders
      Lisp developers
      Python developers
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What do people build with it?

USE CASE 1

Build a code editor that highlights Scheme syntax.

USE CASE 2

Create an automated tool that refactors or evaluates Scheme code.

USE CASE 3

Develop a custom interpreter for Scheme or Lisp-like languages.

What is it built with?

Python

How does it compare?

keyan/schemeling0xhassaan/nn-from-scratcha-little-hoof/dsr
Stars00
LanguagePythonPythonPython
Last pushed2015-02-04
MaintenanceDormant
Setup difficultyeasymoderatehard
Complexity2/54/55/5
Audiencedeveloperdeveloperresearcher

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min
The explanation does not mention a license, so it is unclear what permissions you have for using this code.

So what is it?

Schemeling is a Python tool that reads Scheme code and breaks it down into structured pieces your programs can work with. In simple terms, if you have text written in the Scheme programming language, this library takes that raw text and converts it into a format Python can understand and manipulate. Scheme is a dialect of Lisp, known for its minimalist syntax and heavy use of parentheses. A parser like this takes that text, figures out the underlying structure, and represents it as a tree of nested elements. This allows developers to programmatically inspect, analyze, or transform Scheme expressions without having to write their own parsing logic from scratch. This would be useful for anyone building tools that interact with Scheme or Lisp-like languages. For example, if you are creating a code editor that highlights Scheme syntax, an automated tool that refactors or evaluates Scheme code, or even a custom interpreter, this library handles the foundational step of translating raw text into a workable data structure. The project is written in Python, making it accessible to developers already working in that ecosystem. Beyond that, the README doesn't go into detail about specific design decisions, performance tradeoffs, or advanced features.

Copy-paste prompts

Prompt 1
Using the Schemeling Python library, write a script that parses a Scheme expression string and prints the resulting nested tree structure.
Prompt 2
How do I use Schemeling to read a Scheme source file and convert its contents into Python objects I can inspect?
Prompt 3
Using Schemeling, parse a Scheme function definition and iterate over its nested elements to identify all function calls within it.

Frequently asked questions

What is schemeling?

Schemeling is a Python library that parses Scheme code text and converts it into structured data your programs can easily work with and manipulate.

What language is schemeling written in?

Mainly Python. The stack also includes Python.

Is schemeling actively maintained?

Dormant — no commits in 2+ years (last push 2015-02-04).

What license does schemeling use?

The explanation does not mention a license, so it is unclear what permissions you have for using this code.

How hard is schemeling to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is schemeling for?

Mainly developer.

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