Search Results for "performance testing" - Page 3
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Showing 526 open source projects for "performance testing"
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Tile Kernels
A kernel library written in tilelang
...It is aimed at developers and researchers who work close to model internals and need efficient low-level building blocks. TileKernels also includes testing and benchmarking utilities to help evaluate correctness and performance. Its main value is providing reusable TileLang-based kernels for experimental and production-adjacent deep-learning systems. -
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cocoyaxi
A go-style coroutine library in C++11 and more
...It contains a series of high-quality base components, such as a go-style coroutine, coroutine-based network programming framework, command line, and config file parser, high-performance log library, unit testing framework, JSON library, etc. co has implemented a go-style coroutine, which has the following features. Multi-thread scheduling, the default number of threads is the number of system CPU cores. Shared stack, coroutines in the same thread share several stacks (the default size is 1MB), and the memory usage is low. ... -
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mistral.rs
Fast, flexible LLM inference
mistral.rs is a fast and flexible LLM inference engine implemented in Rust, designed to run and serve modern language models with an emphasis on performance and practical deployment. It provides multiple entry points for developers, including a CLI for running models locally and an HTTP server that exposes an OpenAI-compatible API surface for easy integration with existing clients. The project includes hardware-aware tooling that can benchmark a system and choose sensible quantization and device-mapping strategies, helping users get strong performance without manual tuning. ... -
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GrowthBook
Open source feature flagging and AB testing platform
GrowthBook is an open-source platform for feature flagging and AB testing built to give teams the power of a fully-featured experimentation system without building it entirely from scratch. It supports both self-hosted and cloud-hosted deployment models, giving organizations the flexibility to own their infrastructure or consume it as a managed service. The platform is designed for performance and scale: its SDKs are lightweight, supporting local evaluation to minimize latency, and it integrates deeply with existing data stacks so you can use your warehouse or analytics system as the source of truth. ... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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LinearSolve.jl
High-Performance Unified Interface for Linear Solvers in Julia
LinearSolve.jl is a unified interface for the linear solving packages of Julia. It interfaces with other packages of the Julia ecosystem to make it easy to test alternative solver packages and pass small types to control algorithm swapping. It also interfaces with the ModelingToolkit.jl world of symbolic modeling to allow for automatically generating high-performance code. Performance is key: the current methods are made to be highly performant on scalar and statically sized small problems,... -
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MuJoCo
Multi-Joint dynamics with Contact. A general purpose physics simulator
...MuJoCo’s core architecture is performance-tuned and utilizes preallocated data structures created through an XML-based compiler. The platform includes built-in interactive visualization using OpenGL and a native graphical interface for analyzing and testing simulations. Additionally, it offers extensive utility functions for physics computation, Python bindings for developers, and a Unity plug-in to enable integration with game engines and visualization tools. -
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proxy.py
Utilize all available CPU cores for accepting new client connections
proxy.py is made with performance in mind. By default, proxy.py will try to utilize all available CPU cores to it for accepting new client connections. This is achieved by starting AcceptorPool which listens on configured server port. Then, AcceptorPool starts Acceptor processes (--num-acceptors) to accept incoming client connections. Alongside, if --threadless is enabled, ThreadlessPool is setup which starts Threadless processes (--num-workers) to handle the incoming client connections.... -
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XiangShan
Open-source high-performance RISC-V processor
XiangShan is an open-source, high-performance RISC-V processor project that implements out-of-order superscalar cores using Chisel for hardware construction. The design targets modern performance goals—deep pipelines, speculative execution, multi-issue decode/execute, and sophisticated branch prediction—while remaining synthesizable for ASIC flows and portable to FPGAs for research. -
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Nestia
NestJS Helper + AI Chatbot Development
Nestia is a high-performance toolkit and ecosystem built on top of NestJS that enhances backend development by introducing strongly typed APIs, automated SDK generation, and advanced tooling for scalable server applications. It is designed to eliminate much of the boilerplate typically associated with API development by leveraging pure TypeScript types to automatically generate validation logic, API documentation, and client SDKs. One of its defining advantages is its focus on performance... -
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glMatrix
Javascript Matrix and Vector library for High Performance WebGL apps
Javascript has evolved into a language capable of handling realtime 3D graphics, via WebGL, and computationally intensive tasks such as physics simulations. These types of applications demand high performance vector and matrix math, which is something that Javascript doesn't provide by default. glMatrix to the rescue! glMatrix is designed to perform vector and matrix operations stupidly fast! By hand-tuning each function for maximum performance and encouraging efficient usage patterns... -
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Ollama Grid Search
A multi-platform desktop application to evaluate and compare LLM
...The system integrates directly with local or remote Ollama servers, enabling seamless access to models already deployed in a user’s environment. It also includes experiment logging and A/B testing capabilities, which allow users to compare outputs side by side and track performance metrics such as latency or token usage. -
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scalajs-react
Facebook's React on Scala.JS
Scala.js React wraps Facebook React for Scala.js with a strong emphasis on type safety and functional idioms. It provides a typed virtual DOM interface, reusable components, hooks, and utilities for routing, testing, SSR, and performance profiling, all aligned with Cats, Cats Effect, and Monocle ecosystems. -
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Claw Code
AI agent harness for AI coding agents
Claw Code is an open-source AI agent harness project focused on building better tools for orchestrating and managing autonomous coding agents. It originated as a clean-room reimplementation inspired by the architecture of Claude Code, aiming to replicate core concepts without using proprietary code. The project provides a Python-based foundation for experimenting with agent workflows, tool integration, and task execution pipelines. It emphasizes harness engineering—how agents are structured,... -
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BigQuery Utils
Useful scripts, udfs, views, and other utilities for migration
...The repository is especially useful for organizations that need practical building blocks for migration from other database systems, since it includes compatibility-oriented utilities and migration-focused UDFs that mimic behavior from platforms such as Oracle, Redshift, and Netezza. It also supports day-to-day operational work by offering optimization scripts, billing queries, performance testing examples, and dashboards built on INFORMATION_SCHEMA metadata so teams can better understand slot usage, reservations, job execution, and errors. -
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Prompt flow
Build high-quality LLM apps
Prompt flow is a suite of development tools designed to streamline the end-to-end development cycle of LLM-based AI applications, from ideation, prototyping, testing, and evaluation to production deployment and monitoring. It makes prompt engineering much easier and enables you to build LLM apps with production quality. -
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Agrona
High Performance data structures and utility methods for Java
Agrona provides a library of data structures and utility methods that are a common need when building high-performance applications in Java. Many of these utilities are used in the Aeron efficient reliable UDP unicast, multicast, and IPC message transport and provides high-performance buffer implementations to support the Simple Binary Encoding Message Codec. -
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JMH Gradle Plugin
Integrates the JMH benchmarking framework with Gradle
...Developers can run benchmarks via Gradle commands, produce reports, and compare performance over time. This reduces the manual effort of setting up JMH, making performance testing a natural part of the development cycle. The plugin is especially useful in projects where regression in execution speed or memory use must be carefully monitored. -
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sqlsmith
A random SQL query generator
SQLSmith is a fuzz testing tool for PostgreSQL that automatically generates random SQL queries to uncover bugs in the query planner and executor. It is widely used by PostgreSQL developers and database vendors to stress-test SQL features and engine behavior under edge-case conditions. SQLSmith helps improve database robustness by revealing unexpected failures. -
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Claude of Duty
A Call of Duty-quality FPS in Three.js, built from a single prompt
Claude of Duty is a browser-based first-person shooter built with Three.js and WebGL2 by an orchestrated fleet of AI coding agents. The project contains roughly 55,000 lines divided across 11 coordinated gameplay and rendering subsystems. It uses no conventional art or audio assets because textures, meshes, animations, weapons, effects, environments, and sounds are generated procedurally from code at runtime. Its systems cover advanced rendering, custom physics, movement, ballistics, enemy... -
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AgentBench
A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
...These environments require agents to interpret instructions, take actions, and adapt their strategies based on feedback from the environment. AgentBench also includes an evaluation framework that measures success rates, rewards, and task completion performance across different agent implementations. By testing models across diverse scenarios, the benchmark highlights strengths and weaknesses in reasoning, long-term planning, and tool usage. -
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Android Interview Questions
Your Cheat Sheet For Android Interview
...It includes explanations and Q&A on the Android app lifecycle, activities and fragments, services, broadcast receivers, content providers, and the build system. Modern practices are addressed as well—Kotlin language features, coroutines, Jetpack components, MVVM/MVI architecture, dependency injection, and testing strategies. Performance and reliability topics receive attention, such as memory management, threading, WorkManager, networking, and offline storage patterns. The content favors concise, practical answers that interviewers expect, helping candidates rehearse concepts and trade-offs rather than memorize trivia. It’s equally useful for brushing up before an interview and for leveling up day-to-day Android engineering knowledge. -
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Node.js Best Practices
The Node.js best practices list (July 2024)
This repository is a living, community-curated guide to writing robust, maintainable Node.js applications at scale. It organizes advice into clear sections—project structure, error handling, security, testing, performance, reliability, and maintainability—so teams can adopt improvements incrementally. Each guideline is phrased as a practical recommendation with motivation and trade-offs, not just a rule, which makes it easier to reach team consensus. The content aims to be technology-agnostic within the Node ecosystem, providing patterns that work whether you’re using Express, Fastify, Nest, or custom frameworks. ... -
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Easy DataSet
A powerful tool for creating datasets for LLM fine-tuning
...The system includes automated question-generation capabilities, hierarchical label trees, and answer generation pipelines that use LLM APIs to produce coherent paired data with customizable templates. Beyond dataset creation, Easy-dataset also provides a built-in evaluation system with model testing and blind-test features, helping teams validate model performance using curated test sets. -
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Barter
Open-source Rust framework for building event-driven systems
Barter is an open-source, Rust-based ecosystem of libraries for building high-performance, event-driven algorithmic trading systems—covering live trading, paper trading, and backtesting. It is designed for safety, speed, and flexibility in quantitative finance workflows. Use mock MarketStream or Execution components to enable back-testing on a near-identical trading system as live-trading. Centralised cache-friendly state management system with O(1) constant lookups using indexed data structures. ... -
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.NET Developer Roadmap 2026
The comprehensive .NET Developer Roadmap for 2026 by seniority level
...The material begins with .NET runtimes, .NET Standard, C#, and general development skills. It continues through .NET Core, client-side .NET, databases, object-relational mapping, testing, logging, communication, caching, and background work. Later sections cover observability, containers, cloud services, CI/CD, artificial intelligence, security, cryptography, diagnostics, and performance. A minimal version highlights the baseline knowledge expected from junior developers. Visual and PDF editions help learners turn the repository into a practical study plan.
