Learn how Campfire and Cinny differ in their key features, development activity, technology stack and community adoption, so you can decide which of these team chat & messaging tools is best for you.
Last 30 days
Last commit
23 hours agoRepository age
1 yearVersion
v1.5.6License
MITSelf-hosted
YesRepository
once-campfire
Last 30 days
Last commit
5 days agoRepository age
6 yearsVersion
v4.12.7License
AGPL-3.0Repository
cinnyapp/cinny
Campfire appears to have several advantages over Cinny, particularly in growth, licensing and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Both tools have similar popularity levels, with Campfire having 4,802 stars and Cinny having 3,947 stars on GitHub. In terms of developer contributions, Campfire has 820 forks, indicating moderate developer engagement.
Campfire is growing faster, adding 155 stars in the last 30 days (+3.3%) against adding 40 stars for Cinny (+1%). Campfire is both larger and pulling further ahead.
Both projects show recent activity, with Campfire last updated 23 hours ago and Cinny 5 days ago.
Both tools share common technology foundations, being built with JavaScript, CSS. However, they differ in their additional technology choices: Campfire uses Ruby while Cinny leverages Typescript, JSX, SCSS.
Cinny has been in development longer, starting 6 years ago, compared to Campfire which began 1 year ago. This 4.4-year head start suggests Cinny may have more mature features and established processes.
Campfire uses the MIT license, which is more permissive than Cinny's AGPL-3.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in Team Chat & Messaging. However, they also have distinct specializations: Cinny extends into Encrypted Communication, Decentralized Social Networks.
Campfire provides self-hosting options for complete data control and customization, while Cinny may be primarily cloud-based or require different deployment approaches.
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs
vs