Learn how HyperDX and NetData differ in their key features, development activity, technology stack and community adoption, so you can decide which of these performance monitoring (apm) tools is best for you.

Both HyperDX and NetData 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.
NetData significantly outpaces HyperDX in community adoption with 80,139 stars compared to 9,820 stars on GitHub. This 8.2x difference suggests NetData has a much larger and more active community. In terms of developer contributions, NetData has 6,579 forks, indicating strong developer engagement.
HyperDX is growing faster, adding 155 stars in the last 30 days (+1.6%) against adding 508 stars for NetData (+0.6%). 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 HyperDX last updated 11 hours ago and NetData 8 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Golang. However, they differ in their additional technology choices: HyperDX uses Typescript, JSX, Next.js, SCSS while NetData leverages Python, C, Rust, Objective-C, C++.
NetData has been in development longer, starting 13 years ago, compared to HyperDX which began 3 years ago. This 10.4-year head start suggests NetData may have more mature features and established processes.
HyperDX uses the MIT license, which is more permissive than NetData's GPL-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: HyperDX also focuses on Log Management, Error Tracking while NetData extends into Infrastructure Monitoring.
HyperDX provides self-hosting options for complete data control and customization, while NetData may be primarily cloud-based or require different deployment approaches.

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