5 projects for "benchmark test" with 2 filters applied:

  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

    New customers can spin up VMs, build with AI, and query data at no cost.

    Put your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
    Start Free
  • Ship Agents Faster Icon
    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

    Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
    Get Started Free
  • 1
    GoNB

    GoNB

    GoNB, a Go Notebook Kernel for Jupyter

    Go is a compiled language, but with very fast compilation, that allows one to use it in a REPL (Read-Eval-Print-Loop) fashion, by inserting a "Compile" step in the middle of the loop -- so it's a Read-Compile-Run-Print-Loop — while still feeling very interactive. GoNB leverages that compilation speed to implement a full-featured (at least it's getting there) Jupyter notebook kernel. As a side benefit it works with packages that use CGO — although it won't parse C code in the cells, so it...
    Downloads: 2 This Week
    Last Update:
    See Project
  • 2
    1m-go-tcp-server

    1m-go-tcp-server

    Benchmarks for implementation of servers

    1m-go-tcp-server is a benchmark collection for studying Go TCP server designs that can support one million connections. It compares different server architectures instead of presenting a single production framework. The repository includes implementations based on goroutines per connection, single epoll, multiple epoll loops, prefork design, worker pools, and Reactor-style event handling. It also includes client implementations and specialized benchmarks for throughput, latency, I/O-bound...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    benchm-ml

    benchm-ml

    A benchmark of commonly used open source implementations

    This repository is designed to provide a minimal benchmark framework comparing commonly used machine learning libraries in terms of scalability, speed, and classification accuracy. The focus is on binary classification tasks without missing data, where inputs can be numeric or categorical (after one-hot encoding). It targets large scale settings by varying the number of observations (n) up to millions and the number of features (after expansion) to about a thousand, to stress test different implementations. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 4
    C1000K-Servers

    C1000K-Servers

    High performance websocket servers implemented by Spray-can

    C1000K-Servers is a benchmark and prototype collection for high-performance WebSocket servers. It compares implementations built with frameworks and runtimes such as Spray, Netty, Undertow, Jetty, Vert.x, Grizzly, Node.js, Go, and Go-fasthttp. The project focuses on large-scale long-lived WebSocket connections and documents tests reaching more than one million active connections.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Save Up to 91% on Cloud Compute With Spot VMs Icon
    Save Up to 91% on Cloud Compute With Spot VMs

    Automatic sustained-use discounts. One free VM per month. No negotiation needed.

    Run batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
    Try Free
  • 5
    Celero

    Celero

    C++ Benchmarking Library

    This project is now maintained at GitHub: https://github.com/DigitalInBlue/Celero Celero is a cross-platform open source C++ benchmarking library. Written with an API similar to Google Test, Celero utilizes C++11 features, offers tested benchmarking capabilities with microsecond precision, baselining, fixtures, and easy test setup. Use the baseline feature to measure/benchmark algorithm performance against a known case to more accurately rate performance of solutions.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next