Uniquely identifiable codes for each food.


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00Mar 12, 2021May 11, 2018Minified + gzip package size for @ifct2017/codes in KB


Uniquely identifiable codes for each food.

This is part of package ifct2017.
Online database: ifct2017.github.io.

const codes = require('@ifct2017/codes');
// codes(query)
// → matches [{name, code}]

await codes.load();
/// Load corpus first

codes('mango green');
codes('Raw mango');
// [ { name: 'Mango, green, raw (Common)', code: 'D057' } ]

codes('what is food code of atta?');
codes('atta code');
// [ { name: 'Atta (H., P.)', code: 'A019' },
//   { name: 'Gahama atta (O.)', code: 'A019' },
//   { name: 'Wheat flour, atta (Common)', code: 'A019' } ]
// Additional methods:
codes.load() // → corpus (promise)
codes.sql([table], [options]) // → sql statements (promise)
codes.csv() // → path of csv file

Data was obtained from the book Indian Food Composition Tables 2017.
Food composition values were measured by National Institute of Nutrition, Hyderabad.
Take a peek at the raw data here: Document, Webpage.

If you find any bugs or have a feature request, please open an issue on github!

The npm package download data comes from npm's download counts api and package details come from npms.io.