CodeClimate
Codacy
SonarQube
ESLint
CodeFactor.io
Coveralls
SensioLabs Insight
Source-Navigator NG
Niblu
Fig: Food Scanner & Discovery
Yuka
Spokin
Nutritics
Kaboodle
Niblu is a menu safety co-pilot for people with allergies, intolerances, and restrictive diets. Snap a menu (photo or PDF), set what you avoid (like dairy, gluten, eggs, nuts, shellfish), and Niblu flags risky dishes and highlights safer picks so you can order with confidence.
Unlike barcode-first food scanners, Niblu is built for dining out: messy menu photos, unclear ingredients, and decision-making under time pressure. Save your preferences once, react to dishes (love / ok / nope), and get smarter recommendations over time.
CodeClimateNiblu's answer:
Niblu is menu-native. It reads real restaurant menus (photos/PDFs), then turns them into a clear decision: Safe, Unsafe, or Uncertain based on your personal allergy/intolerance profile, with the โwhyโ behind each call.
Niblu's answer:
Most tools are barcode-first or database-first. Niblu is built for the moment you actually need help: when youโre staring at a menu at the table. Itโs fast, personal, and improves over time as you save preferences and react to dishes.
Niblu's answer:
People who eat out and need to avoid specific ingredients due to allergies, intolerances, or restrictive diets (dairy-free, gluten-free, egg-free, nut-free, vegan, halal), especially travelers and busy diners.
Niblu's answer:
Next.js, TypeScript, React, PostgreSQL, Tailwind CSS, Three.js, plus AI vision + language models for menu understanding.
Niblu's answer:
Niblu started from the simple problem: eating out with restrictions is stressful, slow, and easy to mess up. The goal is to make restaurant dining safe and actually enjoyable again, with a tool that reads menus the way humans wish menus were written.
Niblu's answer:
Based on our record, CodeClimate seems to be more popular. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Automated analysis tools: SonarQube, CodeClimate, and Codacy detect code-level debt automatically: cyclomatic complexity, code duplication, dependency staleness, and coverage gaps. These tools supplement but don't replace the architectural and business-logic debt that requires human judgment to identify and document. - Source: dev.to / 3 months ago
CodeClimate and Codacy can generate before/after metrics for code quality that make the starting and ending states concrete rather than subjective. - Source: dev.to / 3 months ago
CodeClimate quantifies maintainability so teams canโt hand-wave garbage away. - Source: dev.to / 11 months ago
Code Climate: Link - Automated code review and quality analysis for codebase health. - Source: dev.to / about 1 year ago
Use tools like SonarQube or CodeClimate to spot the high-risk 20%. Then fix one thing at a time not everything at once. This isnโt Dark Souls. - Source: dev.to / over 1 year ago
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
Fig: Food Scanner & Discovery - Create your โFigโ from 2,500+ options โ whether youโre gluten free, allergic to cashews, and/or intolerant to citric acid.
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
Yuka - Yuka is an independent reviewer of food and cosmetics products. It gives a note (between 0 & 100) to products to help you buying more reliable, respectful and healthier things.
ESLint - The fully pluggable JavaScript code quality tool
Spokin - Yelp for people with allergies