Learn how Elmo and OneGlanse differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai visibility tracking is best for you.
Last 30 days
Last commit
17 hours agoRepository age
1 yearVersion
v0.7.5License
MITSelf-hosted
YesRepository
elmohq/elmo
Last 30 days
Last commit
22 days agoRepository age
1 yearLicense
MITSelf-hosted
YesRepository
oneglanse/oneglanse
Elmo appears to have several advantages over OneGlanse, particularly in popularity and growth. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Elmo leads in popularity with 493 stars vs 233 stars for OneGlanse. The 112% higher star count indicates stronger community adoption. In terms of developer contributions, Elmo has 118 forks, indicating moderate developer engagement.
Elmo is growing faster, adding 85 stars in the last 30 days (+21%) against adding 35 stars for OneGlanse (+18%). Elmo is both larger and pulling further ahead.
Both projects show recent activity, with Elmo last updated 17 hours ago and OneGlanse 22 days ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX. However, they differ in their additional technology choices: Elmo uses Python, Tanstack Start while OneGlanse leverages Next.js.
Both projects started around the same time, with Elmo beginning 1 year ago and OneGlanse 1 year ago.
Both projects use the MIT license, providing identical terms for usage and distribution.
Both tools serve similar use cases in AI Visibility Tracking.
Both Elmo and OneGlanse offer self-hosting capabilities, giving you full control over your data and infrastructure.