Learn how Hazel and Macro Chat 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
6 hours agoRepository age
2 yearsVersion
v1.1.3License
FSL-1.1-ALv2Self-hosted
YesRepository
mapletechlabs/hazel
Last 30 days
Last commit
6 hours agoRepository age
1 yearVersion
v2026.11.12.0License
AGPL-3.0Repository
macro-inc/macro
Both Hazel and Macro Chat 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.
Macro Chat significantly outpaces Hazel in community adoption with 6,333 stars compared to 738 stars on GitHub. This 8.6x difference suggests Macro Chat has a much larger and more active community. In terms of developer contributions, Macro Chat has 594 forks, indicating moderate developer engagement.
Macro Chat is growing faster, adding 1,632 stars in the last 30 days (+35%) against adding 12 stars for Hazel (+1.7%). Macro Chat is both larger and pulling further ahead.
Both projects show recent activity, with Hazel last updated 6 hours ago and Macro Chat 6 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Rust, Kotlin, Tauri. However, they differ in their additional technology choices: Hazel uses Tanstack Start while Macro Chat leverages Python, C, Objective-C, Swift.
Both projects started around the same time, with Hazel beginning 2 years ago and Macro Chat 1 year ago.
The projects use different licenses: Hazel is licensed under FSL-1.1-ALv2 while Macro Chat uses AGPL-3.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in Team Chat & Messaging.
Hazel provides self-hosting options for complete data control and customization, while Macro Chat 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
vs