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HyperDX vs Maple

Learn how HyperDX and Maple 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.

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Favicon of HyperDX

HyperDX

Open source observability platform unifying session replays, logs, traces, metrics and errors. Fast search, automatic clustering, $0.40/GB pricing.
9,840stars+156(+1.6%)

Last 30 days

Screenshot of HyperDX
Favicon of Maple

Maple

Observability platform built on OpenTelemetry and ClickHouse. Collect, visualize, and query distributed traces, logs, and metrics, with an MCP server for AI agent diagnostics.
1,692stars+32(+1.9%)

Last 30 days

Screenshot of Maple

Detailed Comparison

HyperDX appears to have several advantages over Maple, particularly in popularity, maturity and licensing. Consider your specific needs regarding popularity, growth, activity, maturity, licensing and features when making your decision.

HyperDX wins
Community & Popularity

HyperDX significantly outpaces Maple in community adoption with 9,840 stars compared to 1,692 stars on GitHub. This 5.8x difference suggests HyperDX has a much larger and more active community. In terms of developer contributions, HyperDX has 453 forks, indicating moderate developer engagement.

Maple wins
Growth Momentum

Maple is growing faster, adding 32 stars in the last 30 days (+1.9%) against adding 156 stars for HyperDX (+1.6%). Maple is the smaller project of the two, so it is closing the gap rather than extending a lead.

Comparable
Development Activity

Both projects show recent activity, with HyperDX last updated 1 day ago and Maple 1 day ago.

HyperDX wins
Project Maturity

HyperDX has been in development longer, starting 3 years ago, compared to Maple which began 6 months ago. This 2.5-year head start suggests HyperDX may have more mature features and established processes.

HyperDX wins
Licensing

HyperDX is licensed under MIT, while Maple's license terms are not publicly specified.

Comparable
Use Cases & Features

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

Comparable
Hosting & Deployment

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