Learn how HyperDX and Vector differ in their key features, development activity, technology stack and community adoption, so you can decide which of these log management tools is best for you.
Last 30 days
Last commit
Repository age
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Self-hosted
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Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Both HyperDX and Vector 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.
Vector leads in popularity with 22,668 stars vs 9,927 stars for HyperDX. The 128% higher star count indicates stronger community adoption. In terms of developer contributions, Vector has 2,309 forks, indicating strong developer engagement.
HyperDX and Vector are moving at much the same rate, adding 54 stars and adding 157 stars respectively over the last 30 days (+0.5% vs +0.7%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with HyperDX last updated 12 hours ago and Vector 12 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX. However, they differ in their additional technology choices: HyperDX uses Next.js, Golang, SCSS while Vector leverages Rust, Lua.
Vector has been in development longer, starting 8 years ago, compared to HyperDX which began 3 years ago. This 5.1-year head start suggests Vector may have more mature features and established processes.
HyperDX uses the MIT license, which is more permissive than Vector's MPL-2.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in Log Management. However, they also have distinct specializations: HyperDX also focuses on Performance Monitoring (APM), Error Tracking.
Both HyperDX and Vector offer self-hosting capabilities, giving you full control over your data and infrastructure.
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