Learn how Affine and Tldraw differ in their key features, development activity, technology stack and community adoption, so you can decide which of these collaborative workspaces is best for you.
Last 30 days
Last commit
17 hours agoRepository age
4 yearsVersion
v0.27.4License
MITSelf-hosted
YesRepository
toeverything/affine
Last 30 days
Last commit
11 hours agoRepository age
5 yearsVersion
v5.6.0Repository
tldraw/tldraw
Affine appears to have several advantages over Tldraw, 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 Affine having 74,123 stars and Tldraw having 51,207 stars on GitHub. In terms of developer contributions, Affine has 5,454 forks, indicating strong developer engagement.
Affine is growing faster, adding 920 stars in the last 30 days (+1.3%) against adding 477 stars for Tldraw (+0.9%). Affine is both larger and pulling further ahead.
Both projects show recent activity, with Affine last updated 17 hours ago and Tldraw 11 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX. However, they differ in their additional technology choices: Affine uses Rust, C, Objective-C, Java, Swift, Ruby, Kotlin while Tldraw leverages Next.js, Vue, GLSL.
Tldraw has been in development longer, starting 5 years ago, compared to Affine which began 4 years ago. This 1.2-year head start suggests Tldraw may have more mature features and established processes.
Affine is licensed under MIT, while Tldraw's license terms are not publicly specified.
Both tools serve similar use cases in Collaborative Workspaces, Whiteboarding. However, they also have distinct specializations: Affine also focuses on Collaborative Notes & Wikis while Tldraw extends into Online Design.
Affine provides self-hosting options for complete data control and customization, while Tldraw may be primarily cloud-based or require different deployment approaches.