Head-to-Head: appmetrics-dash vs Clinic.js Analysis

appmetrics-dash

v5.3.0(about 4 years ago)

This package was last published over a year ago. It may not be actively maintained.The package doesn't have any types definitionsNumber of direct dependencies: 5Monthly npm downloads

appmetrics-dash is an npm package that provides a dashboard for monitoring and analyzing the performance of Node.js applications. It collects various metrics such as CPU usage, memory usage, event loop latency, and HTTP request/response statistics. The dashboard provides real-time visualizations and insights into the application's performance, allowing developers to identify bottlenecks, optimize resource usage, and improve overall application efficiency.

Alternatives:
express-status-monitor+
pm2+
nodejs-dashboard+
autocannon+
clinic+
0x+
easy-monitor+
v8-profiler-next+
heapdump+
swagger-stats+

Tags: npmpackagemonitoringperformanceNode.js

clinic

v13.0.0(8 months ago)

This package is actively maintained.The package doesn't have any types definitionsNumber of direct dependencies: 20Monthly npm downloads

Clinic is a powerful performance profiling tool for Node.js applications. It helps developers identify and diagnose performance bottlenecks by providing detailed insights into CPU usage, event loop activity, garbage collection, and other metrics. Clinic offers a suite of tools, including Clinic Doctor for diagnosing issues, Clinic Bubbleprof for visualizing CPU profiles, and Clinic Flame for flame graph visualization.

Alternatives:
0x+
autocannon+
fastify+
artillery+
siege+
wrk+
loadtest+
k6+
benchmark.js+
puppeteer+

Tags: node.jsperformanceprofilingdiagnosticsoptimization

Fight!

Functionality

Both appmetrics-dash and clinic are npm packages that provide performance monitoring and profiling capabilities for Node.js applications. However, they serve different purposes and offer different functionalities. appmetrics-dash is a package that allows you to monitor the performance and health of your Node.js application in real-time. It provides a dashboard that displays various metrics such as CPU usage, memory usage, event loop latency, and more. It also supports custom metrics and can be integrated with popular monitoring tools like Prometheus and Grafana. clinic, on the other hand, is a suite of tools for diagnosing and profiling Node.js applications. It includes different tools like clinic doctor, clinic bubbleprof, clinic flame, etc., each serving a specific profiling purpose. These tools help you identify performance bottlenecks, memory leaks, and other issues in your application.

Popularity

Both appmetrics-dash and clinic are popular npm packages within the Node.js community. However, appmetrics-dash has a larger user base and is more widely used compared to clinic. It has been around for a longer time and has gained a significant following due to its real-time monitoring capabilities.

Ease of Use

appmetrics-dash is relatively easy to set up and use. It provides a simple API to instrument your Node.js application and start monitoring it. The dashboard interface is intuitive and user-friendly. clinic, on the other hand, requires a bit more configuration and setup. Each tool within the clinic suite has its own specific usage and options. It may require some learning curve to effectively use clinic for profiling and diagnosing your application.

Integration

appmetrics-dash integrates well with popular monitoring tools like Prometheus and Grafana. It provides built-in support for exporting metrics to these tools, making it easier to incorporate appmetrics-dash into your existing monitoring infrastructure. clinic, on the other hand, is more focused on providing standalone profiling tools. It does not have direct integrations with external monitoring tools, but the profiling data generated by clinic can be analyzed and visualized using other tools or frameworks.

Community Support

Both appmetrics-dash and clinic have active communities and are actively maintained. However, appmetrics-dash has a larger community and more frequent updates compared to clinic. This can be beneficial in terms of getting support, finding resources, and staying up-to-date with the latest features and improvements.