Grafana significantly outpaces HyperDX in community adoption with 76,260 stars compared to 9,824 stars on GitHub. This 7.8x difference suggests Grafana has a much larger and more active community. In terms of developer contributions, Grafana has 14,564 forks, indicating strong developer engagement.

HyperDX is growing faster, adding 154 stars in the last 30 days (+1.6%) against adding 681 stars for Grafana (+0.9%). HyperDX is the smaller project of the two, so it is closing the gap rather than extending a lead.

Both projects show recent activity, with Grafana last updated 12 hours ago and HyperDX 2 hours ago.

Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX, Golang. However, they differ in their additional technology choices: Grafana uses Python, Ruby while HyperDX leverages Next.js, SCSS.

Grafana has been in development longer, starting 13 years ago, compared to HyperDX which began 3 years ago. This 9.9-year head start suggests Grafana may have more mature features and established processes.

HyperDX uses the MIT license, which is more permissive than Grafana's AGPL-3.0 license, potentially offering greater flexibility for commercial use and integration.

Both tools serve similar use cases in Performance Monitoring (APM). However, they also have distinct specializations: Grafana also focuses on Infrastructure Monitoring, Data Visualization while HyperDX extends into Log Management, Error Tracking.

Both Grafana and HyperDX offer self-hosting capabilities, giving you full control over your data and infrastructure.