Best open-source alternatives to Yazio

OpenNutriTracker is an open-source mobile nutrition tracking application aimed at people who want a simple way to monitor meals, nutrients, weight, hydration, fasting, and activity. It presents a minimal interface focused on logging and analyzing daily intake rather than on complex coaching or social features. The app supports a broad set of tracking workflows, including barcode-based food lookup, reusable recipes, quick calorie entry, micronutrient charts, and daily meal organization. It also includes export/import tools, local AES-encrypted storage, and privacy-oriented crash reporting settings, making it suitable for users who want to keep their data on-device while still having structured tracking and backup options.

NutriTrace is a self-hosted nutrition tracking system designed for people who want to keep their food and health data on their own hardware. It combines a browser-based PWA with a native Android app, and it emphasizes privacy, local ownership, and operation without external accounts or mandatory cloud services. The project covers day-to-day logging, meal planning, nutrition analysis, goals, body measurements, fasting, reminders, backup/restore, and imports from other nutrition tools. It also includes optional AI assistance, barcode and label scanning, and integrations with external nutrition sources and notification services. Multi-user support is built in, but the app can also run as a single-user system with no login required.

openplate is a self-hosted food tracking application designed for people who want to log meals while keeping control over their data and AI provider choice. In its default mode, it runs accountless and stores the diary in the browser on the user’s device, while using a bring-your-own-key model to send plate photos to a chosen AI service for macro estimation. The repository also describes optional managed and self-hosted extensions for accounts, sync, and inference. A managed setup adds invitations, sign-in, shared AI allowance, and device sync via a separate service, while a fully self-hosted inference service can provide an OpenAI-compatible plate-photo endpoint on the user’s own hardware. It is aimed at self-hosters and privacy-conscious users who want flexible deployment options, including Docker-based quickstart and more complete compose topologies.

Schautrack is a self-hostable nutrition tracking application aimed at people who want to record food intake, body weight, and progress toward health goals without relying on a hosted SaaS product. It centers on everyday logging tasks such as calories, macros, saved foods, barcode scanning, and goal tracking, while also adding features like notes, todos, and weight-loss planning. The project is designed for self-hosters and administrators who want flexible deployment options and control over configuration. It supports Docker, Kubernetes via Helm, an Android companion app, OIDC single sign-on, two-factor authentication, and a public REST API with scoped personal access tokens. It also integrates AI-based photo estimation and can share selected data with friends through granular read-only account linking.