How do we compare?

How do we compare?

We're often asked how we compare to other device detection suppliers, such as DeviceAtlas and ScientiaMobile. Using industry-defined key metrics, we've compiled this handy comparison table. These figures are constantly updating, so be sure to refer to the footnotes.

Key metrics 51Degrees DeviceAtlas ScientiaMobile /WURFL TM
Device combinations 3,129,1301 Unpublished Unpublished
Active web device profiles 57,3392 Unpublished Unpublished
All hardware device profiles 82,3023 >90,0005 100,0004
TAC coverage 98.93 %14 Unpublished Not available
Duplicate TACs identified 2.26 % Unpublished Not available
Accuracy >99.9%9 99.9%7 >99%12
Data sources Real devices, vendors, and
optional anonymous global
usage sharing6
Multi-sourced device data7 Unpublished
Multiple environments Indexed for web, native apps,
and mobile operator environments8
Indexed for web, native apps,
and mobile operator environments7
File format Binary JSON XML
Confidence indicators (false positives) Yes No No
Secure. On-premise Yes Yes Yes
Open-source Yes9 No No
Regular expressions No Yes Yes
Transparent pricing Yes10 No No
ISO Accreditations 9001 & 2700113 None None
Free trial - complete dataset access Yes Yes No11
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All competitor information accurate as of 2 October 2023 unless otherwise stated. We aim to keep the table up to date, however, if you see any inaccuracies or outdated information, please email us at

  1. Combinations of hardware, operating system, and web browser.

  2. The number of profiles that relate to devices that have been active on the web during the past 12 months.

  3. The number of devices contained within 51Degrees including those that are either inactive on the web or do not connect to the web (i.e. IoT devices).

  4. Source: ScientiaMobile.

  5. Source: DeviceAtlas About our data.

  6. Real devices contributed by the 51Degrees Contributor. 51Degrees data processing system contains hundreds of millions of unique HTTP headers including crawlers, apps and web browsers. Less than 1.75% of the total available headers form a training data set which is used with machine learning techniques to achieve 99.9% or greater device detection accuracy when compared to the full data set.

  7. Source: DeviceAtlas Why DeviceAtlas.

  8. Read "51Degrees Announces Native App Device Detection Capability" for more information.

  9. See the 51Degrees Github repository.

  10. See the 51Degrees pricing for more information.

  11. Source: ScientiaMobile Free Trial

  12. Source: ScientiaMobile Accuracy of our Device Intelligence.

  13. 51Degrees became the first commercial open source company in the device detection game to achieve a duo of ISO 9001 and 27001 standards for quality and information security management. Read more about how and why we embraced ISO.

  14. Our database covers 98.93 % of active devices (all that are currently significant and verifiable in the real world).