Learn how Showly and Tonkatsu Box differ in their key features, development activity, technology stack and community adoption, so you can decide which of these personal tracking apps is best for you.
Last 30 days
Last commit
11 days agoRepository age
7 yearsVersion
3.61.0License
GPL-3.0Repository
trakt/showly
Last 30 days
Last commit
2 days agoRepository age
9 monthsVersion
v0.46.0License
MITSelf-hosted
YesRepository
tonkatsu_box
Both Showly and Tonkatsu Box have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Showly leads in popularity with 1,470 stars vs 603 stars for Tonkatsu Box. The 144% higher star count indicates stronger community adoption. In terms of developer contributions, Showly has 101 forks, indicating moderate developer engagement.
Tonkatsu Box is growing faster, adding 22 stars in the last 30 days (+3.8%) against adding 7 stars for Showly (+0.5%). Tonkatsu Box is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Showly last updated 11 days ago and Tonkatsu Box 2 days ago.
Both tools share common technology foundations, being built with Kotlin. However, they differ in their additional technology choices: Showly uses Bash, Java while Tonkatsu Box leverages C, Objective-C, Swift, C++, Dart.
Showly has been in development longer, starting 7 years ago, compared to Tonkatsu Box which began 9 months ago. This 6.6-year head start suggests Showly may have more mature features and established processes.
Tonkatsu Box uses the MIT license, which is more permissive than Showly's GPL-3.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in Personal Tracking Apps.
Tonkatsu Box provides self-hosting options for complete data control and customization, while Showly may be primarily cloud-based or require different deployment approaches.