Open-source

Diab is A Libre Diabetes Manager App for Android

Hazem Abbas

Hazem Abbas

— 1 min read
Diab is A Libre Diabetes Manager App for Android

Table of Content

Diab is a free Libre open-source journaling and logging application for Diabetes patients.

It allows users to log their blood sugar, insulin usage, their insulin injections, and then offers an overall insights on the records.

Diab records can be exported easily to a spreadsheet file that can be used with Google Sheets, Microsoft Excel, and LibreOffice Calc. Furthermore, this portable format can be shared with doctors.

The app offers a straightforward easy-to-use interface without hidden features or complex configuration.

Features

  1. Record and log blood sugar.
  2. Record insulin doses.
  3. Export your records to CSV.
  4. Insulin suggestion plugin (We highly recommend consulting your doctor on this one).
  5. [optional] Google Fit integration

Download

Diab is available to download for free from the F-Droid application store.

License

The project is a Libre open source project that is released under the GPL-3.0 license.

Resources



Open-source Android medicine Applications apps Java Diabetes











Articles

Tutorials Development Productivity Marketing

Systems

Cross-platform macOS Windows Linux Android RaspberryPi

Development

Frameworks JavaScript Flutter Next.js Straters

Apps

Docker Self-hosted Terminal Java

Science - Healthcare

Healthcare Medical Records Radiology (DICOM-PACS)

Open-source Apps

9,500+

Medical Apps

500+

Lists

450+

Dev. Resources

900+

Read more

Bias in Healthcare AI: How Open-Source Collaboration Can Build Fairer Algorithms for Better Patient Care

Bias in Healthcare AI: How Open-Source Collaboration Can Build Fairer Algorithms for Better Patient Care

The integration of artificial intelligence (AI), particularly large language models (LLMs) and machine learning algorithms, into healthcare has transformed the industry dramatically. These technologies enhance various aspects of patient care, from diagnostics and treatment recommendations to continuous patient monitoring. However, the application of AI in healthcare is not without challenges.