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Tags: Benchmarking

1.arjaythedev / twelve-dollar-server-challenge

Implement one small API on SQLite in any language; we benchmark it on a $12 server (1 vCPU, 2 GB)

C MIT677 total326 forks

+174 stars

from 503 · score 5.16

2.lingquan11 / cpp-matmul-performance

TranslatedC++ matrix multiplication performance experiments: from triple loops to blocking optimization and systolic arrays — an undergraduate introductory showcase project in the AI chip (NPU) direction

C++MIT126 total15 forks

+121 stars

from 5 · score 4.80

3.techinz / browsers-benchmark

Browser automation engine benchmark - Test bypass rates, performance & stealth against Cloudflare, DataDome, reCAPTCHA, Kasada, Imperva, Akamai, PerimeterX and other bot detection systems. Find the best browser for scraping.

anti-detect
antidetect-browser
automation
browser
captcha
patchright
+4 more

Python MIT417 total17 forks

+8 stars

from 409 · score 2.20

4.nicorobinreal / llmspeed

Feel how fast a local LLM runs before you buy the hardware

llm
benchmark
gpu
hardware
inference
llm-inference
+3 more

TypeScript MIT169 total7 forks

+7 stars

from 162 · score 2.08

5.ai / size-limit

Calculate the real cost to run your JS app or lib to keep good performance. Show error in pull request if the cost exceeds the limit.

JavaScript MIT7K total1.8K forks

+5 stars

from 7,039 · score 1.79

6.dotnet / BenchmarkDotNet

Powerful .NET library for benchmarking

benchmark
benchmarking
c-sharp
dotnet
performance
csharp
+1 more

C#MIT12K total1.1K forks

+3 stars

from 11,522 · score 1.39

7.martinus / nanobench

Simple, fast, accurate single-header microbenchmarking functionality for C++11/14/17/20

benchmark
cpp
microbenchmark
single-header
single-header-lib
single-file
+2 more

C++MIT1.8K total104 forks

+2 stars

from 1,749 · score 1.10

8.scientistproject / Scientist.net

A .NET library for carefully refactoring critical paths. It's a port of GitHub's Ruby Scientist library

C#MIT1.5K total91 forks

+1 stars

from 1,492 · score 0.69

9.jsperf / jsperf.com

jsperf.com v2. https://github.com/h5bp/lazyweb-requests/issues/174

javascript
benchmark
benchmarking
performance

JavaScript MIT1.3K total125 forks

+1 stars

from 1,296 · score 0.69

10.python / pyperformance

Python Performance Benchmark Suite

python
performance
benchmark

Python MIT1K total206 forks

+1 stars

from 1,044 · score 0.69

Order: Attention Score

Most net stars gained in the window first. The score only puts this gain on a log scale, so the order is the order of the gain.

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Ranked by stars gained in the window. The score is the natural log of one plus that gain, so a repository's rank is exactly its star gain's rank.

score = log1p(net stars gained in the trailing T complete UTC days)

A repository is ranked only when its Star History covers every day of the window and its latest Observation is not missing.

The longest window is 180 days. Star History from the Repository Host goes back at most 180 days before the first daily record that AwesomeRepos made for the repository. A longer window needs more of these daily records first. A repository younger than the window does not rank in it.

The filters select from the same eligible repositories. A repository matches the topics when it has any of them. Total stars is the count now. Last push and creation on the Repository Host count back from the start of today (UTC). The counts beside the languages, licenses, and topics include all ranked repositories in the window. A Tag holds the repositories that have it. See Tags.

A new repository enters the index when it gains stars faster than the published admission threshold, whatever its size. A repository stays in the index after it enters. Thus an archived repository can still rank.

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