Search Results for "performance testing" - Page 5
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Showing 439 open source projects for "performance testing"
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NOFX
Open source AI trading OS for autonomous multi-model trading systems
NOFX is an open source AI-powered trading operating system designed to automate financial trading workflows using autonomous AI agents. It acts as an infrastructure layer that transforms market data into AI-driven trade decisions and execution. Instead of requiring users to manually configure machine learning models, data sources, and API integrations, the system allows AI components to perceive market conditions, select models, and perform trading actions automatically. It supports running... -
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GLM-4.1V
GLM-4.6V/4.5V/4.1V-Thinking, towards versatile multimodal reasoning
...Given its open-source availability under the same project repository, it provides an accessible entry point for testing multimodal reasoning and building proof-of-concept applications. -
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LLMFarm
llama and other large language models on iOS and MacOS offline
...It emphasizes modularity, allowing users to integrate different models, backends, or tools depending on their needs and hardware capabilities. LLMFarm is particularly useful for developers and researchers experimenting with local AI systems, as it lowers the barrier to entry for running and testing models without extensive setup. It also supports optimization techniques to improve performance on limited hardware, making it viable for smaller-scale deployments. -
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Iperf 2
A means to measure network responsiveness and throughput
Throughput testing, latency testing, jitter measurement, packet loss measurement, TCP testing, UDP testing, ECN testing, L4S testing, responsiveness testing, bounceback testing, one-way delay measurement, histogram reporting, multicast testing, IPv6 support, parallel streams, bidirectional testing, full-duplex testing, congestion-control testing, socket pacing, CSV output, embedded systems support Current release: 2.2.2, Sept 29 , 2026 About iperf 2 and iperf3: Read about the... -
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Kiln
Open source platform for managing, testing, and deploying AI apps
...Kiln emphasizes reproducibility, enabling users to track changes to prompts and models while comparing outputs across different configurations. Kiln also supports systematic testing of AI systems by defining evaluation criteria and running experiments to assess performance over time. Its workflow-oriented approach helps teams move from experimentation to production by organizing assets and results in a consistent format. It is particularly useful for teams working with large language models who need visibility into how changes impact outputs and overall system quality. -
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LangWatch
The platform for LLM evaluations and AI agent testing
LangWatch is an open-source observability and monitoring platform designed to help developers evaluate and improve applications built with large language models. The platform provides tools for tracking model interactions, analyzing prompt behavior, and identifying issues such as hallucinations, latency problems, or unexpected responses. By collecting telemetry data from AI applications, LangWatch allows developers to understand how their systems perform in real-world usage scenarios. The... -
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AutoAgent AI
Autonomous harness engineering
...The system is particularly useful for building domain-specific agents that need continuous performance improvement. -
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Surmon.me
Personal website and blog
...The frontend is built using modern tools such as Vite, TypeScript, and state management libraries, enabling scalability and maintainability. It also incorporates automation workflows through CI/CD pipelines that handle building, testing, and deployment processes. -
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Storefront UI
A frontend library for React and Vue that helps developers quickly
...It includes UI elements for product listings, navigation, carts, and checkout flows, allowing developers to assemble complete storefronts without starting from scratch. Performance and accessibility are core priorities, ensuring that components are optimized for speed and usability across devices. Additionally, the project offers playgrounds and preview environments for both Vue and React implementations, enabling rapid prototyping and testing. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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BenchmarkTools.jl
A benchmarking framework for the Julia language
BenchmarkTools makes performance tracking of Julia code easy by supplying a framework for writing and running groups of benchmarks as well as comparing benchmark results. This package is used to write and run the benchmarks found in BaseBenchmarks.jl. The CI infrastructure for automated performance testing of the Julia language is not in this package but can be found in Nanosoldier.jl. -
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Mosec
A high-performance ML model serving framework, offers dynamic batching
Mosec is a high-performance and flexible model-serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API. -
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PgRx
Build Postgres Extensions with Rust
pgrx is a Rust framework for developing PostgreSQL extensions, making it easier to write safe, high-performance native extensions in Rust. It handles the boilerplate and unsafe FFI needed to interface with Postgres internals, allowing developers to focus on logic. With built-in support for SQL generation, testing, and deployment, pgrx streamlines the extension creation process while embracing Rust’s safety guarantees. -
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TextWorld
TextWorld is a sandbox learning environment for the training
TextWorld is a learning environment designed to train reinforcement learning agents to play text-based games, where actions and observations are entirely in natural language. Developed by Microsoft Research, TextWorld focuses on language understanding, planning, and interaction in complex, narrative-driven environments. It generates games procedurally, enabling scalable testing of agents’ natural language processing and decision-making abilities. -
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Google Toolbox for Mac
Google Toolbox for Mac
...It consolidates reusable code components drawn from various internal Google projects, offering developers a wide range of tools for building efficient, maintainable Apple platform software. The library includes modules for networking, logging, testing, data handling, and user interface extensions, helping developers avoid reinventing common functionality. Its modular design allows developers to integrate only the components they need, improving project flexibility and performance. With well-documented interfaces and consistent coding standards, Google Toolbox for Mac serves as a reliable foundation for both small and large-scale applications. ... -
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osu!framework
A game framework written with osu! in mind.
...If you are interested in creating a project using the framework, please start from the getting started wiki resources (or jump straight over to the project templates). You can either start off from an empty project, or take a peek at a working sample game. Either way, full project structure, cross-platform support, and a testing setup are included! This framework is intended to take steps beyond what you would normally expect from a game framework. This means things like basic UI elements, text rendering, advanced input handling (textboxes) and performance overlays are provided out-of-the-box. Any of the osu! code that is deemed useful to other game projects will live in this framework project. ... -
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gpt-prompt-engineer
Experimental prompt optimization toolkit built around notebooks
gpt-prompt-engineer is an experimental prompt optimization toolkit built around notebooks and LLM-assisted evaluation. It lets users describe a task, provide test cases, and generate many candidate prompts automatically. The system then tests those prompts against the examples and ranks their performance through an ELO-style scoring process. The repository includes versions for general prompt generation, classification tasks, Claude-based workflows, and model-to-model prompt conversion. It... -
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Made With ML
Learn how to develop, deploy and iterate on production-grade ML
...The project focuses on bridging the gap between experimental machine learning notebooks and real-world software systems that can be deployed, monitored, and maintained at scale. It provides structured lessons and practical code examples that demonstrate how to design machine learning workflows, manage datasets, train models, evaluate performance, and deploy inference services. The repository organizes these concepts into modular Python scripts that follow software engineering best practices such as testing, configuration management, logging, and version control. Through a combination of tutorials, notebooks, and production-ready scripts, the project demonstrates how machine learning applications should be developed as maintainable systems rather than isolated experiments. -
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MiniMax-M2.5
State of the art LLM and coding model
MiniMax-M2.5 is a state-of-the-art foundation model extensively trained with reinforcement learning across hundreds of thousands of real-world environments. It delivers leading performance in coding, agentic tool use, search, and complex office workflows, achieving top benchmark scores such as 80.2% on SWE-Bench Verified and 76.3% on BrowseComp. Designed to reason efficiently and decompose tasks like an experienced architect, M2.5 plans features, structure, and system design before generating code. The model supports full-stack development across web, mobile, and desktop platforms, covering the entire lifecycle from system design to testing and code review. ... -
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TapeAgents
A framework that facilitates all stages of LLM development
TapeAgents is a framework that facilitates all stages of the Large Language Model (LLM) agent development lifecycle, providing tools for building, testing, and deploying AI agents. -
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VT.ai
Multimodal AI chat app with dynamic conversation routing
VT.ai is a minimal multimodal AI chat application designed to provide a simple and efficient interface for interacting with large language models. It focuses on delivering a clean user experience with support for both text and multimodal inputs, allowing users to engage with models in a flexible way. The application is lightweight and designed to run with minimal overhead, making it suitable for quick interactions and experimentation. It integrates with local model providers such as Ollama,... -
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rip2
A safe and ergonomic alternative to rm
rip is a rust-based rm with a focus on safety, ergonomics, and performance. It favors a simple interface and does not implement the xdg-trash spec or attempt to achieve the same goals. Deleted files get sent to the graveyard (typically /tmp/graveyard-$USER, see notes on changing this) under their absolute path, giving you a chance to recover them. No data is overwritten. If files that share the same path are deleted, they will be renamed as numbered backups. -
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Grafbase
The Grafbase GraphQL Federation Gateway
Grafbase is an open-source GraphQL federation gateway and API platform designed to unify multiple backend services and data sources into a single, high-performance GraphQL interface. The project provides a Rust-based gateway that acts as the central layer for composing and managing distributed APIs, particularly in microservice architectures where data may come from many independent systems. By supporting GraphQL federation standards, the platform enables teams to combine multiple subgraphs... -
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Hallucination Leaderboard
Leaderboard Comparing LLM Performance at Producing Hallucinations
Hallucination Leaderboard is an open research project that tracks and compares the tendency of large language models to produce hallucinated or inaccurate information when generating summaries. The project provides a standardized benchmark that evaluates different models using a dedicated hallucination detection system known as the Hallucination Evaluation Model. Each model is tested on document summarization tasks to measure how often generated responses introduce information that is not... -
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cloudflare-speed-cli
CLI for internet speed test via cloudflare
cloudflare-speed-cli is a Rust-based command-line internet speed testing tool that interfaces with Cloudflare’s public speed test endpoints, letting users measure download and upload throughput, latency, and more from a terminal. It presents results in an interactive text-user-interface (TUI) that charts real-time metrics as tests run, making it easy to visually inspect performance trends without leaving the console. -
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Modern C++ Programming
Modern C++ Programming Course
...It walks through core language topics like RAII, move semantics, templates and metaprogramming, lambdas, and smart pointers with an eye toward real-world patterns. Concurrency and performance enter the picture via threads, atomics, futures, and memory considerations, helping learners reason about correctness and speed. The materials highlight best practices—value semantics, const-correctness, and zero-cost abstractions—while cautioning against common pitfalls inherited from older C++ idioms. Build and tooling conventions (e.g., CMake, testing frameworks, static analyzers) are woven into examples so projects are reproducible and portable. ...
