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openfoodfacts

Professional software vendor delivering innovative solutions on the Softono platform. Specialized in both open-source and proprietary software development.

Total Products
11

Software by openfoodfacts

smooth-app
Open Source

smooth-app

🤳🥫 The new Open Food Facts mobile application for Android and iOS, crafted with Flutter and Dart

Mobile Development Nutrition & Diet
1.3K Github Stars
openfoodfacts-upptime
Open Source

openfoodfacts-upptime

📈 Uptime monitor and status page for Open Food Facts, powered by @upptime

Monitoring & Observability Status Pages
11 Github Stars
openfoodfacts-server
Open Source

openfoodfacts-server

Open Food Facts database, API server and web interface - 🐪🦋 Perl, CSS and JS coders welcome 😊 For helping in Python, see Robotoff or taxonomy-editor

Database Data Pipelines & ETL Nutrition & Diet
1K Github Stars
openfoodfacts-androidapp
Open Source

openfoodfacts-androidapp

(Legacy) Native version of Open Food Facts on Android - Coders & Decoders welcome 🤳🥫

Storage & Backup Mobile Development Nutrition & Diet
802 Github Stars
openfoodfacts-ai
Open Source

openfoodfacts-ai

This is a tracking repo for all our AI projects. 🍕 🤖🍼

AI & Machine Learning ML Frameworks Nutrition & Diet
268 Github Stars
openfoodfacts-swift
Open Source

openfoodfacts-swift

The idea is to create a Swift SDK (possibly leveraging our OpenAPI support https://openfoodfacts.github.io/documentation/docs/Product-Opener/api/, or our legacy iOS app https://github.com/openfoodfacts/openfoodfacts-ios)

Mobile Development Nutrition & Diet
60 Github Stars
openfoodfacts-csharp
Open Source

openfoodfacts-csharp

openfoodfacts-csharp is a C package that provides access to the Open Food Facts API, a free database of over 2.9 million food products contributed by users worldwide. The library parses JSON responses from the API and transforms them into easy-to-use C objects, allowing developers to query detailed product information with minimal effort. The package supports core operations including searching and retrieving products by various parameters such as barcode, name, brand, and category. It also enables editing existing products or uploading new ones through a simple object structure, making data contributions straightforward. Most read operations do not require authentication, though setting a custom User-Agent is recommended to avoid being blocked. The package is distributed under the OdBL open data license, which encourages attribution and reciprocal contributions. Ideal use cases include building nutrition tracking apps, barcode scanning tools, dietary planning software, allergen detection systems, and any app

API Tools Nutrition & Diet
33 Github Stars