nutrigo | calculate nutrition for your favourite recipe

by MakuZo Python Version: 0.1.0 License: MIT

X-Ray Key Features Code Snippets(3)Community Discussions Vulnerabilities Install Support

kandi X-RAY | nutrigo Summary

nutrigo is a Python library. nutrigo has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However nutrigo build file is not available. You can download it from GitHub.

Nutrigo uses basic parsing techniques and USDA's Food Database to calculate nutrition for recipes. Nevertheless it provides good results for well-structured and uncomplicated recipes (ingredient list).

Support

Quality

Security

License

Reuse

Support

nutrigo has a low active ecosystem.

It has 22 star(s) with 5 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 125 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of nutrigo is 0.1.0

Quality

nutrigo has 0 bugs and 0 code smells.

Security

nutrigo has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

nutrigo code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nutrigo is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

nutrigo releases are available to install and integrate.

nutrigo has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

nutrigo saves you 4711 person hours of effort in developing the same functionality from scratch.

It has 9943 lines of code, 130 functions and 49 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed nutrigo and discovered the below as its top functions. This is intended to give you an instant insight into nutrigo implemented functionality, and help decide if they suit your requirements.

Parse ingredient string .
Return a list of all food items in a string .
Validate a recipe .
Calculate total food ingredients .
Return the weight for a given measurement .
Updates the name and common_name .
Splits a list of ingredients .
Separate letters from a string .
Get the recipe data .
Strip special characters from string .

Get all kandi verified functions for this library.

nutrigo Key Features

No Key Features are available at this moment for nutrigo.

nutrigo Examples and Code Snippets

nutrigo,Installing

Python

Lines of Code : 3

License : Permissive (MIT)

Copy

$ pipenv install --dev
$ python3 -m textblob.download_corpora
$ python3 manage.py runserver

nutrigo,Running with Docker Compose

Python

Lines of Code : 2

License : Permissive (MIT)

Copy

$ docker-compose build nutrigo
$ docker-compose up nutrigo

nutrigo,Running the tests

Python

Lines of Code : 1

License : Permissive (MIT)

Copy

$ pytest

Community Discussions

No Community Discussions are available at this moment for nutrigo.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install nutrigo

You can download it from GitHub.
You can use nutrigo like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

--Note that parsing third-party websites is only possible by using API Endpoint /api/calculate-from-url. So far the only supported websites are: Yummly.com, KwestiaSmaku.com. Adding support for a recipe website is very simple. See recipe.py for examples.

Find more information at: