Benchmark
Showing 36 of 74 projects
A command-line benchmarking tool that performs statistical analysis across multiple runs to accurately measure and compare shell command execution times.
A drop-in replacement for the MNIST dataset, featuring 70,000 Zalando fashion article images for benchmarking machine learning algorithms.
A powerful .NET library for transforming methods into benchmarks, tracking performance, and sharing reproducible measurement experiments.
A curated list of semantic segmentation papers, code, datasets, and resources across various deep learning frameworks.
A C++ library for microbenchmarking code snippets, providing a framework similar to unit tests for performance measurement.
A scriptable multi-threaded benchmark tool for databases and systems based on LuaJIT.
A statistics-driven microbenchmarking library for Rust that provides rigorous performance analysis.
A Python package for evaluating and comparing odometry and SLAM algorithm trajectories with support for multiple formats and metrics.
A lightweight, cross-platform C++11 base library providing high-performance utilities like logging, coroutines, JSON, and networking.
A simple, high-performance, zero-copy C++17 serialization and reflection library with no dependencies.
A high-performance JSON serializer and deserializer for .NET, built on Sigil with extensive optimization.
A benchmark suite comparing the performance of Go web frameworks across connection, routing, and handler processing.
An open-source benchmark suite of continuous control robotic manipulation environments for multi-task and meta reinforcement learning.
A Rust performance profiler and monitoring toolkit for real-time time, memory, and async data flow analysis.
A simple, fast, accurate single-header microbenchmarking library for C++11/14/17/20.
A benchmark suite comparing the performance of Go HTTP request routers and web frameworks using real-world API routing structures.
A comprehensive benchmark suite for evaluating speed, throughput, and resource utilization of big data frameworks like Hadoop, Spark, and streaming engines.
A fast and simple benchmarking library for Rust projects with ergonomic macros and detailed performance reports.
A high-performance compiler for C# Expression Trees and a lightweight alternative to System.Linq.Expressions.
A modular deep reinforcement learning framework in PyTorch for research and application, featuring ready-to-use algorithms and reproducible experiments.
A platform for creating and sharing JavaScript performance benchmarks to compare code snippets across browsers and devices.
A macOS microbenchmarking app for Swift that measures and visualizes algorithm performance with real-time log-log plots.
A computational framework for deep reinforcement learning experiments in traffic microsimulation and control.
Python Performance Benchmark Suite
A benchmarking platform for molecular generation models, providing datasets, implementations, and evaluation metrics for drug discovery research.
A high-performance HTTP server for Ruby with Rack compatibility, GraphQL support, and exceptional static asset serving speeds.
A high-performance HTTP server for Ruby with Rack compatibility, GraphQL support, and exceptional speed.
A suite of continuous benchmarking tools that detects and prevents performance regressions before they hit production.
A benchmark and toolkit for discovering, detecting, recognizing, and tracking UAVs in the wild using RGB and thermal infrared video.
A C++14 library for authoring and executing benchmarks with a GoogleTest-like API, supporting statistical analysis and performance tracking.
Open-source benchmarking and load testing software for popular databases including Oracle, SQL Server, PostgreSQL, MySQL, and MariaDB.
A benchmark for evaluating protein language models through five biologically relevant semi-supervised learning tasks.
A benchmark dataset for long-range (up to 250m) dense depth estimation in autonomous driving, featuring 360° LiDAR ground truth.
Cross-platform performance benchmarking and testing framework for .NET applications.
A benchmark comparison of 50 game scripting languages for embedding in C++ projects, focusing on performance and practical requirements.
A foundation model for multi-species genome understanding, achieving state-of-the-art performance on 28 genomic tasks.
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