Search Results for "performance" - Page 7
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Showing 260 open source projects for "performance"
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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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Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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LiteBox
A security-focused library OS supporting kernel execution
...The design emphasizes interoperability across different integration layers, describing a separation between “North” shims (how apps or runtimes plug in) and “South” platforms (where the sandbox runs), which helps the system adapt to multiple deployment contexts. A key aspect of the project is that it targets both kernel-mode and user-mode scenarios, enabling experimentation with different trust and performance tradeoffs. The repository positions LiteBox as a foundation for building hardened execution environments where untrusted or semi-trusted components can run with reduced privileges and a minimized host interface. -
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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. The tool also stores historical test results and can export measured data as structured JSON for scripting, logging, or integration with automation tools. Users can bind tests to specific network interfaces or source IPs, making it flexible for complex networking environments or servers with multiple network paths. ... -
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Comprehensive Rust
This is the Rust course used by the Android team at Google
...By offering an accessible yet thorough introduction, the course helps learners gain practical experience with Rust while building a strong understanding of its unique safety and performance guarantees. -
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Ruma
A set of Rust crates for interacting with the Matrix chat network
...You can use an existing server you trust or run your own, and the servers synchronize messages seamlessly. Learn more in the Introduction to Matrix. Rust is a systems programming language from Mozilla built with safety, concurrency, and performance in mind. Its novel approach to memory safety and its rich type system make it an excellent choice for writing fast, secure, and reliable programs. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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SWC
Rust-based platform for the Web
SWC is an extensible Rust-based platform for the next generation of fast developer tools. It's used by tools like Next.js, Parcel, and Deno, as well as companies like Vercel, ByteDance, Tencent, Shopify, and more. SWC can be used for both compilation and bundling. For compilation, it takes JavaScript / TypeScript files using modern JavaScript features and outputs valid code that is supported by all major browsers. SWC is 20x faster than Babel on a single thread and 70x faster on four cores.... -
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Daft
Distributed DataFrame for Python designed for the cloud
Daft is a framework for ETL, analytics and ML/AI at scale. Its familiar Python Dataframe API is built to outperform Spark in performance and ease of use. Daft plugs directly into your ML/AI stack through efficient zero-copy integrations with essential Python libraries such as Pytorch and Ray. It also allows requesting GPUs as a resource for running models. Daft runs locally with a lightweight multithreaded backend. When your local machine is no longer sufficient, it scales seamlessly to run out-of-core on a distributed cluster. ... -
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LeftWM
A tiling window manager for Adventurers
Left is a tiling window manager written in rust for stability and performance. The core of left is designed to do one thing and one thing well. Be a window manager. Because you probably want more than just a black screen LeftWM is built around the concept of theming. With themes, you can choose between different bars/compositors/backgrounds/colors, whatever makes you happy. LeftWM has been built from the very beginning to support multiple screens and has been built around ultrawide monitors. ... -
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DashMap
Blazing fast concurrent HashMap for Rust
...To accomplish these goals, all methods take &self instead of modifying methods taking &mut self. This allows you to put a DashMap in an Arc<T> and share it between threads while still being able to modify it. DashMap puts great effort into performance and aims to be as fast as possible. If you have any suggestions or tips do not hesitate to open an issue or a PR. -
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Polymarket CLI
Rust CLI for Polymarket
Polymarket CLI is an official command-line interface written in Rust that enables users to interact directly with the Polymarket prediction market platform from a terminal or through scriptable workflows. It provides a full suite of tools for browsing available markets, searching for events, retrieving detailed market data, and executing trades, all without requiring a graphical interface. The CLI supports both read-only operations and authenticated trading actions, allowing users to manage... -
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Kreuzberg
Polyglot document intelligence framework
...This structure makes it simpler to build resilient automation pipelines that span multiple technologies or APIs without needing to glue everything together manually. The platform also supports observability and monitoring, helping teams trace the progression of workflows, catch errors early, and evaluate performance trends in orchestrated systems. -
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xleak
A fast terminal Excel viewer with an interactive TUI
...It hooks into your program’s allocation functions to observe memory usage patterns, helping developers identify locations where memory was allocated but never freed, which is a common source of bugs and performance issues in unmanaged languages. The tool produces detailed reports that show the call stacks associated with leaked allocations, making it easier to track down problematic code paths and fix them. Because it focuses on transparency and low runtime impact, xleak can be used during regular testing cycles without significantly slowing down execution. ... -
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Moss
Rust Linux-compatible kernel
...The kernel uses Rust as its primary implementation language, which gives it strong memory safety guarantees and helps reduce common classes of bugs like data races and buffer overflows without sacrificing performance. It aims to serve as both a learning tool for systems programming students and a testbed for advanced research in kernel architecture, enabling experimentation with new ideas in process isolation, resource management, and driver models. -
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Stoolap
A Modern Embedded SQL Database written in Rust
...Instead of relying on heavy commercial observability platforms, stoolap provides a fast, focused interface where users can filter, query, and visualize time-series data, logs, traces, and error metrics in a cohesive environment. Its intuitive query builder lets users craft powerful filters and aggregations without complex configurations, making it easier to diagnose performance bottlenecks or uncover unusual events during testing and production. Stoolap supports dashboards, alert triggering, and exports so teams can embed visualizations in reports or monitor critical thresholds in real time. -
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LangDB AI Gateway
Govern, secure, and optimize your AI traffic
AI Gateway is a high-performance, open-source API gateway optimized for managing and monitoring LLM traffic at scale. Developed by the LangDB team, AI Gateway acts as an intermediary between clients and backend LLMs, providing advanced features like caching, rate limiting, prompt management, and observability. It helps teams secure and optimize their LLM deployments, whether using local models or external APIs like OpenAI or Anthropic. -
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k23
Experimental WASM Microkernel Operating System
k23 is a microkernel-based operating system project written in Zig, an emerging systems programming language focused on safety, simplicity, and performance. k23 explores the design of modern OS features like message-passing, memory protection, and modular service construction using Zig’s powerful low-level capabilities. It is an experimental and educational project intended to show how Zig can be used for robust, readable systems programming while enabling contributors to rethink traditional OS structures from the ground up. -
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log4rs
A highly configurable logging framework for Rust
log4rs is a highly configurable logging framework modeled after Java's Logback and log4j libraries. If you are using the file rotation in your configuration there is a known substantial performance issue so listen up! By default the gzip feature is enabled and when rolling files it will zip log archives automatically. This is a problem when the log archives are large as the zip happens in the main thread and will halt the process while the zip is completed. Be advised that the gzip feature will be removed from default features as of 1.0. -
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Hurl
Hurl, run and test HTTP requests with plain text
Hurl is a command line tool that runs HTTP requests defined in a simple plain text format. It can chain requests, capture values and evaluate queries on headers and body responses. Hurl is very versatile: it can be used for both fetching data and testing HTTP sessions. Hurl makes it easy to work with HTML content, REST / SOAP / GraphQL APIs, or any other XML / JSON-based APIs. Hurl can run HTTP requests but can also be used to test HTTP responses. Different types of queries and predicates... -
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async-graphql
A GraphQL server library implemented in Rust
Async-graphql is a GraphQL server-side library implemented in Rust. It is fully compatible with the GraphQL specification and most of its extensions and offers type safety and high performance. You can define a Schema in Rust and procedural macros will automatically generate code for a GraphQL query. This library does not extend Rust's syntax, which means that Rustfmt can be used normally. I value this highly and it is one of the reasons why I developed Async-graphql. I like GraphQL and Rust. I've been using Juniper, which solves the problem of implementing a GraphQL server with Rust. ... -
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rxRust
Zero-cost & Type-safe Reactive Extensions for Rust
...It enables developers to model asynchronous data streams and event-driven systems declaratively, using composable operators that transform and combine streams over time. The library is designed to leverage Rust’s ownership and type systems to ensure memory safety and efficient resource management without sacrificing performance. It supports both single-threaded and multi-threaded execution contexts, allowing developers to choose between lightweight local execution or synchronized shared concurrency depending on their needs. rxRust is particularly well-suited for building responsive systems such as GUIs, real-time data pipelines, and asynchronous services. ... -
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wasm-bindgen
Facilitating high-level interactions between Wasm modules and Js
wasm-bindgen is a foundational Rust tool that enables seamless interoperability between Rust and JavaScript by generating the necessary bindings and glue code for WebAssembly modules. It allows developers to write performance-critical code in Rust, compile it to WebAssembly, and then expose functions, structs, and APIs directly to JavaScript in a natural and idiomatic way. The tool automates the process of bridging differences between Rust’s type system and JavaScript’s dynamic environment, making cross-language integration significantly easier. One of its key design principles is efficiency, following a “pay only for what you use” model where only the required bindings are generated, minimizing unnecessary overhead. ... -
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DeepProve
Framework to prove inference of ML models blazingly fast
DeepProve is an advanced cryptographic framework designed to verify machine learning model inference using zero-knowledge proofs, enabling trustless validation of AI computations without exposing underlying data. The project focuses on zkML, a rapidly emerging field that combines machine learning with zero-knowledge cryptography to ensure both privacy and correctness. It supports neural network architectures such as multilayer perceptrons and convolutional neural networks, allowing... -
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Extractous
Fast and efficient unstructured data extraction
...Its purpose is to extract text and metadata efficiently from formats such as PDF, Word, HTML, email archives, images, and more, without depending on external APIs or separate parsing servers. The project emphasizes performance and low memory usage, and its maintainers describe it as a local-first alternative to heavier extraction stacks. For broader format support, the system combines its Rust core with ahead-of-time compiled Apache Tika shared libraries, which allows it to extend parsing coverage while still avoiding traditional server-based overhead. ... -
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Floneum
Instant, controllable, local pre-trained AI models in Rust
...Many plugins can be written in different programming languages and compiled to WebAssembly modules, allowing them to run safely within the system. The platform is implemented primarily in Rust and emphasizes performance, modularity, and local execution. -
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Secluso
Privacy-preserving home security camera using end-to-end encryption
Secluso is an open-source, privacy-focused home security camera system that uses advanced end-to-end encryption to protect video data from unauthorized access. Unlike many commercial smart cameras that send footage to cloud servers where providers can potentially access it, Secluso encrypts video streams directly on the camera before they are relayed, ensuring that only the user’s mobile app can view recorded or live content. The design splits responsibilities across distinct components: a... -
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agentgateway
Next Generation Agentic Proxy for AI Agents and MCP servers
...The project supports interoperable protocols designed for this ecosystem, including Agent2Agent (A2A) and Model Context Protocol (MCP), which helps standardize how tools and agents interoperate. It is designed for performance and scale, implemented in Rust and engineered to handle large throughput and multi-tenant deployments. Operationally, it emphasizes safety and control with an RBAC system tuned for MCP/A2A use cases, plus the ability to update configuration dynamically via xDS without downtime.
