This page shows some statistics for the Carat community. All the numbers shown here are across the entire Carat community and may differ from suggestions and numbers displayed by Carat for any individual user.
These statistics were generated from data gathered by the Carat project. All numbers are estimates generated by a computer program.
Currently, this page works best with recent versions of Chrome.
These statistics use two terms, energy-intensive applications (or Hogs) and energy anomalies (or Bugs). Energy-intensive applications use more of your battery than average applications. Typical energy-intensive applications include Internet radio, watching movies, voice communications, and 3D games. Energy anomalies are applications that behave normally for most users, but use more than average energy for a particular user or users. These can be caused by user settings, application configurations, or programming errors in the application.
Out of installed applications, % are energy-intensive (Hogs in the Carat App) and % are energy anomalies (Bugs).
Out of installed Android applications, % are energy-intensive and % are energy anomalies.
Out of installed iOS applications, % are energy-intensive and % are energy anomalies.
Out of users, % have at least a single energy anomaly.
The below chart displays how users are distributed between platforms, operating system versions and device models. Click a segment to zoom in. Click in the center to zoom out.
The bubble chart below shows the evolution of the top 200 most energy-intensive applications on Android or iOS. Click your platform, then click Play. Area of the circle indicates the number of users of the application and the color indicates how much battery life would be gained if a user would stop using that application. Note that color and size are not comparable between platforms.
Mika Viinamäki is a research assistant at the University of Helsinki and the main author of this page. He has also contributed to the Carat analysis engine. Contact him at email@example.com.
Paula Lehtola is a research assistant at the University of Helsinki and the main author of OS and Model related graphs on this page, as well as the method to produce them automatically from the Carat analysis engine. Contact her at firstname.lastname@example.org.
Eemil Lagerspetz is a researcher at the Helsinki Institute for Information Technology HIIT and a graduate student at the University of Helsinki. His research interests include mobile data management, data communications, and energy efficiency. He has a MSc and a BSc in Computer Science from the University of Helsinki. He joined the Carat project during his research exchange stay at UC Berkeley. He is currently the main maintainer for Carat. Contact him at email@example.com.
Ella Peltonen is a graduate student at the University of Helsinki. Her research interests include distributed machine learning and data mining methods for large and ambiguous data sets. In the Carat project, she focuses on detecting energy anomalies and turning them into human-readable actionable recommendations. She received a MSc and a BSc in Computer Science from the University of Helsinki. Contact her at firstname.lastname@example.org
Sasu Tarkoma received his M.Sc. and Ph.D. degrees in Computer Science from the University of Helsinki, Department of Computer Science. He is full professor at University of Helsinki, Department of Computer Science and Head of the networking and services specialization line. He has managed and participated in national and international research projects at the University of Helsinki, Aalto University, and Helsinki Institute for Information Technology (HIIT). He has worked in the IT industry as a consultant and chief system architect as well as principal researcher and laboratory expert at Nokia Research Center. His interests include mobile computing, Internet technologies, and middleware. He can be reached at email@example.com