https://github.com/matthewdeanmartin/whats_that_code

detect programming language of source in pure python from an ensemble of classifiers
https://github.com/matthewdeanmartin/whats_that_code

Last synced: 19 days ago
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detect programming language of source in pure python from an ensemble of classifiers

• Host: GitHub
• URL: https://github.com/matthewdeanmartin/whats_that_code
• Owner: matthewdeanmartin
• License: mit
• Created: 2021-01-17T13:32:02.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2023-05-28T20:35:17.000Z (over 1 year ago)
• Last Synced: 2024-08-11T00:46:42.389Z (5 months ago)
• Language: Python
• Size: 327 KB
• Stars: 17
• Watchers: 3
• Forks: 3
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • Contributing: docs/CONTRIBUTING.md
  • License: LICENSE

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README

        
# whats_that_code

This is a programming language detection library.

It will detect programming language of source in pure python from an ensemble of classifiers.

Use this when a quick and dirty first approximation is good enough.

whats_that_code can currently identify 60%+ of samples without knowing the extension or tag.

I created this because I wanted

- a pure python programming language detector

- no machine learning dependencies

Tested on python 3.6 through 3.9.

Badges

------

[![Libraries.io SourceRank](https://img.shields.io/librariesio/sourcerank/pypi/whats_that_code?longCache=true&style=flat-square)](https://libraries.io/github/matthewdeanmartin/whats_that_code/sourcerank)

[![Downloads](https://static.pepy.tech/badge/whats-that-code/month)](https://pepy.tech/project/whats-that-code)

[![CodeFactor](https://www.codefactor.io/repository/github/matthewdeanmartin/whats_that_code/badge)](https://www.codefactor.io/repository/github/matthewdeanmartin/whats_that_code)

## Usage

```python

from whats_that_code.election import guess_language_all_methods

code = "def yo():\n   print('hello')"

result = guess_language_all_methods(code, file_name="yo.py")

assert result == ["python"]

```

## How it Works

1) Inspects file extension if available.

2) Inspects shebang

3) Looks for keywords

4) Counts regexes for common patterns

5) Attemps to parse python, json, yaml

6) Inspects tags if available.

Each is imperfect and can error. The classifier then combines the results of each using a voting algorithm

This works best if you only use it for fallback, e.g. classifying code that can't already be classified by extension or tag,

or when tag is ambiguous.

It was a tool that outgrew being a part of [so_pip](https://github.com/matthewdeanmartin/so_pip) a StackOverflow code

extraction tool I wrote.

## Docs

- [TODO](https://github.com/matthewdeanmartin/whats_that_code/tree/main/docs/TODO.md)

- [LICENSE](https://github.com/matthewdeanmartin/whats_that_code/tree/main/LICENSE)

- [Prior Art](https://github.com/matthewdeanmartin/whats_that_code/tree/main/docs/prior_art.md) Every similar project/tool, including defunct

- [ChangeLog](https://github.com/matthewdeanmartin/whats_that_code/tree/main/docs/CHANGES.md)

## Notable Similar Tools

- [Guesslang](https://pypi.org/project/guesslang/) - python and tensorflow driven solution. Reasonable results but

slow startup and not pure python.

- [pygments](https://pygments.org/docs/api/#pygments.lexers.guess_lexer) pure python, but sometimes lousy identification

rates.