Both tagged functional-programming, scala.
RepoClash › Functional Programming rivals
RepoClash · the open-source arena
lila vs shapeless
Functional Programming rivals. Both tagged functional-programming, scala. Six rounds of real GitHub data, an AI referee, and the crowd picks a side.

lichess-org/lila: 18,971 stars, Scala. ♞ lichess.org: the forever free, adless and open source chess server ♞
milessabin/shapeless: 3,400 stars, Scala. Generic programming for Scala
lila vs shapeless: tale of the tape
GitHub data as of November 11, 2026lila has 5.6 times as many GitHub stars as shapeless (18,971 vs 3,400). In the last 6 days, lila gained more stars: +28 (+0.1%) against +-1 (-0.0%) for shapeless. lila saw more development in the last 52 weeks with 9,802 commits, against 45 for shapeless. shapeless is the older project (created December 2011), lila started in February 2012. Both are written mainly in Scala.
| lichess-org/lila | milessabin/shapeless | |
|---|---|---|
| Stars | 18,971 | 3,400 |
| Stars gained, last 6 days | +28 | +-1 |
| Growth, last 6 days | +0.1% | -0.0% |
| Avg. stars per day since creation | 4 | 1 |
| Forks | 2,809 | 519 |
| Commits, last 52 weeks | 9,802 | 45 |
| Open issues | 1,274 | 31 |
| Best Repocharts rank today | #3 in Scala | #45 in Scala |
| Language | Scala | Scala |
| License | AGPL-3.0 | Apache-2.0 |
| Created | Feb 21, 2012 | Dec 18, 2011 |
| Last push | Nov 11, 2026 | Oct 28, 2026 |
Quick answers
Which is more popular, lila or shapeless?
lila has 5.6 times as many GitHub stars as shapeless (18,971 vs 3,400) (Repocharts data as of November 11, 2026).
Which is growing faster, lila or shapeless?
In the last 6 days, lila gained more stars: +28 (+0.1%) against +-1 (-0.0%) for shapeless.
Which is more actively developed?
lila saw more development in the last 52 weeks with 9,802 commits, against 45 for shapeless.
What languages are lila and shapeless written in?
Both are written mainly in Scala.
How does RepoClash compare lila and shapeless?
RepoClash scores both repositories in six rounds (popularity, momentum, activity, community, maintenance and freshness) from public GitHub data, adds an AI referee's verdict and lets developers vote for their favorite. Star counts are updated daily.