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As part of Deno's continuous integration and testing pipeline we measure the performance of certain key metrics of the runtime. You can view these benchmarks here.

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Runtime Metrics

In this section we measure various metrics of the following scripts:

Execution time
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Log scale. This shows how much time total it takes to run a script. For deno to execute typescript, it must first compile it to JS. A warm startup is when deno has a cached JS output already, so it should be fast because it bypasses the TS compiler. A cold startup is when deno must compile from scratch.

Thread count
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How many threads various programs use. Smaller is better.

Syscall count
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How many total syscalls are performed when executing a given script. Smaller is better.

Max memory usage
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Max memory usage during execution. Smaller is better.

TypeScript Performance

Type Checking
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In both cases, std/examples/chat/server_test.ts is cached by Deno. The workload contains 20 unique TypeScript modules. With check a full TypeScript type check is performed, while no_check uses the --no-check flag to skip a full type check. bundle does a full type check and generates a single file output, while bundle_no_check uses the --no-check flag to skip a full type check.

I/O

Show normalized benchmarks

HTTP Server Throughput
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Tests HTTP server performance. 10 keep-alive connections do as many hello-world requests as possible. Bigger is better.

HTTP Latency
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Max latency during the same test used above for requests/second. Smaller is better. Log scale.

HTTP Proxy Throughput
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Tests proxy performance. 10 keep-alive connections do as many hello-world requests as possible. Bigger is better.

Throughput
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Log scale. Time it takes to pipe a certain amount of data through Deno. echo_server.ts and cat.ts. Smaller is better.

Size

Executable size
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Deno ships only a single binary. We track its size here.

Bundle size
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Size of different bundled scripts.