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Showing 1231 open source projects for "advancedhmi%20%e2%80%93%20100%%20free%20"
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The Apple Device Management and Security PlatformAchieve harmony across your Apple device fleet with Kandji's unmatched management and security capabilities.
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anny is an all-in-one platform for managing hybrid workplaces and shared resources.Enable your employees to easily book desks, meeting rooms, parking spots, equipment, and more – all in one place. With flexible rules and group permissions, you stay in full control of who can access what.
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Formly
JSON powered dynamic forms for Angular
Formly is a dynamic (JSON-powered) form library for Angular that brings unmatched maintainability to your application's forms. Easy to extend with custom field type, validation, wrapper and extension. Every developer that’s using Angular to build cool web applications knows forms are among the most common things to build. We are building by hand with all the tools Angular gives us. NGX Formly was built as an open-source project, which you can find on GitHub. The tool lets you create forms... -
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Data Repository - CA Studies
Data repository for Central Asian Studies
Datasets used for measuring interest in Central Asia including: Google Books. 2021. Ngram Viewer. https://books.google.com/ngrams# (accessed 20 May 2021). Google Trends. 2021. https://www.google.com/trends (accessed 20 May 2021). UNCTAD. 2021. Foreign direct investment: Inward and outward flows and stock, annual. Data Center. UNWTO. 2021. Basic Tourism Statistics. https://www.unwto.org/statistic/basic-tourism-statistics (accessed 20 May 2021). IEA (2020) World Energy Balances. -
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Gradio
Create UIs for your machine learning model in Python in 3 minutes
Gradio is the fastest way to demo your machine learning model with a friendly web interface so that anyone can use it, anywhere! Gradio can be installed with pip. Creating a Gradio interface only requires adding a couple lines of code to your project. You can choose from a variety of interface types to interface your function. Gradio can be embedded in Python notebooks or presented as a webpage. A Gradio interface can automatically generate a public link you can share with colleagues that... -
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ArduinoJson
JSON library for Arduino and embedded C++. Simple and efficient
...ArduinoJson deduplicates strings in the JSON document. When you have several identical keys or values, the JsonDocument only stores one of each. In practice, this feature reduces memory consumption by 20-30%. -
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Erupt Framework
Pure Java annotation, single class file, rapid development
...Does not generate any code, zero front-end code, zero CURD, automatic table creation, annotated API, custom service logic, supports all mainstream databases, supports custom pages, supports multiple data sources, provides more than 20 types of business components, more than a dozen It supports logical deletion, dynamic timing tasks, front-end and back-end separation, etc. Core technologies: Spring Boot, JPA, Reflect, TypeScript, NG-ZORRO, etc. Erupt is a low-code full-stack class framework that uses Java annotations to dynamically generate pages and background functions such as adding, deleting, modifying, checking, and permission control. ... -
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PrimeReact
The Most Complete React UI Component Library
Elevate your web applications with PrimeReact's comprehensive suite of customizable, feature-rich UI components. With PrimeReact, turning your development vision into reality has never been easier. The ultimate set of UI Components to assist you with 80+ impressive React Components. Choose from a variety of pre-built themes or implement your design systems with the CSS library of your choice like TailwindCSS. Connect with the other open-source community members, collaborate, and have a voice in the project roadmap. Compliant with the Web Content Accessibility Guidelines (WCAG 2.0). ... -
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Deep Blue Thesaurus Conversion
An open source free input method thesaurus conversion program
An input method thesaurus conversion software, supports the following more than 20 input method tools and thesaurus. This program supports batch conversion (drag and drop multiple thesaurus files at a time, or hold down Ctrl to select multiple files), support command line mode (use -? command to view help under the command line), and support Windows, Linux, and MacOS. Supports Cangjie, Erbi (Super Strong Erbi, Qingsong Erbi, etc.), Pinyin (full spelling, double spelling), Wubi (Wubi 86, Wubi 98), Zheng Ma, Zhuyin. ... -
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BuntDB
Database for Go with custom indexing and geospatial support
...It is built for scenarios where you want a lightweight, fast store (reads and writes in memory) but also durability (via append-only file format) and transactional semantics (ACID with single-writer, multiple-reader locking). Among its distinguishing features are support for custom indexing (even within JSON values), spatial (geospatial) indexes with support up to 20 dimensions, flexible iteration over keys (ascending, descending, ranges), TTL/expiry eviction, and embeddability. Because it keeps its data in memory (with persistent backing), it's well suited for caching, session stores, small-scale databases inside Go applications, or applications that prefer simplicity and speed over massive scale. ... -
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DeepEval is a simple-to-use, open-source LLM evaluation framework, for evaluating and testing large-language model systems. It is similar to Pytest but specialized for unit testing LLM outputs. DeepEval incorporates the latest research to evaluate LLM outputs based on metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., which uses LLMs and various other NLP models that run locally on your machine for evaluation. Whether your application is implemented via RAG or fine-tuning,...
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Remote Network Monitoring and Management for an IoT WorldDomotz is the premier Remote Network Monitoring and Management platform for IoT. We offer powerful network management software for MSP's, Integrators, Security Professionals, and Business Owners. Domotz enables the complete solution to cost-effectively manage and monitor your customers’ networks with plug and play setup, a friendly UX, and a comprehensive feature set, accessible from any desktop browser or mobile device. Utilize one interface to manage multiple networks at multiple locations anywhere in the World. One person can deploy remote monitoring and management in less than 15 minutes.
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MyChatGPT
OSS standalone ChatGPT client
...I wanted to use ChatGPT but I didn't want to pay a fixed price if I have days where I barely use it. So I created this client that almost works like the original. The 20 dollar price tag on ChatGPT is a bit steep for me. I don't want to pay for a service I don't use. I also don't want to pay for a service that I use only a few times a month. Even with relatively high usage this client is much cheaper. A ChatGPT conversation can hold 4096 tokens (about 1000 words). The ChatGPT API charges 0.002$ per 1k tokens. ... -
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Scalene
High-performance CPU, GPU, and memory profiler for Python
...Hover over bars to see breakdowns of CPU and memory consumption, and click on underlined column headers to sort the columns. Scalene is fast. It uses sampling instead of instrumentation or relying on Python's tracing facilities. Its overhead is typically no more than 10-20% (and often less). Scalene performs profiling at the line level and per function, pointing to the functions and the specific lines of code responsible for the execution time in your program. Scalene separates out the percentage of memory consumed by Python code vs. native code. -
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Snappy
A fast compressor/decompressor
...It does not aim for maximum compression, or compatibility with any other compression library; instead, it aims for very high speeds and reasonable compression. For instance, compared to the fastest mode of zlib, Snappy is an order of magnitude faster for most inputs, but the resulting compressed files are anywhere from 20% to 100% bigger. Snappy is intended to be fast. On a single core of a Core i7 processor in 64-bit mode, it compresses at about 250 MB/sec or more and decompresses at about 500 MB/sec or more. (These numbers are for the slowest inputs in our benchmark suite; others are much faster.) In our tests, Snappy usually is faster than algorithms in the same class (e.g. ... -
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doctest
Fastest feature-rich C++11/14/17/20 single-header testing framework
doctest is a new C++ testing framework but is by far the fastest both in compile times (by orders of magnitude) and runtime compared to other feature-rich alternatives. It brings the ability of compiled languages such as D / Rust / Nim to have tests written directly in the production code thanks to a fast, transparent and flexible test runner with a clean interface. The framework is and will stay free but needs your support to sustain its development. There are lots of new features and... -
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Laravel Splade
The magic of Inertia.js with the simplicity of Blade
Splade provides a super easy way to build Single Page Applications (SPA) using standard Laravel Blade templates, enhanced with renderless Vue 3 components. In essence, you can write your app using the simplicity of Blade, and besides that magic SPA-feeling, you can sparkle it to make it interactive. All without ever leaving Blade. Splade gives you a massive head start when building applications. Navigate the documentation or watch the videos to discover its power. Splade allows you to use... -
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MCP Server Chart
A visualization mcp contains 25+ visual charts
mcp-server-chart is a TypeScript Model Context Protocol (MCP) server that turns AntV’s visualization stack into agent-callable tools for automatic chart generation and lightweight data analysis. Out of the box it exposes more than 20–25 chart generators—covering staples like bar, line, area, histogram and pie, plus advanced visuals such as dual-axes, heatmaps, radar, flow and fishbone diagrams—so an AI client can request a chart and receive an image URL in return. The server can run over stdio for desktop IDEs or via SSE/“streamable” HTTP transport, making it easy to plug into MCP-capable clients and platforms (including Dify) without custom glue code. ... -
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MNN
MNN is a blazing fast, lightweight deep learning framework
...It supports inference and training of deep learning models, and has industry leading performance for inference and training on-device. At present, MNN has been integrated in more than 20 apps of Alibaba Inc, such as Taobao, Tmall, Youku, Dingtalk, Xianyu and etc., covering more than 70 usage scenarios such as live broadcast, short video capture, search recommendation, product searching by image, interactive marketing, equity distribution, security risk control. In addition, MNN is also used on embedded devices, such as IoT. ... -
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DevExtreme
HTML5 JavaScript Component Suite for Responsive Web Development
...It supports major ecosystems such as Angular, React, Vue, and jQuery, allowing teams to maintain consistency while working across different stacks. The library includes more than 80 components covering data grids, charts, schedulers, forms, editors, and navigation elements, making it suitable for complex business applications like dashboards, CRM systems, and SaaS platforms. A key strength of DevExtreme is its built-in data layer, which enables efficient handling of large datasets, real-time updates, and server-side operations such as filtering and sorting. ... -
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Qwen Code
Qwen Code is a coding agent that lives in the digital world
...The tool supports querying and editing large codebases beyond traditional context limits, making it ideal for modern, complex projects. Qwen Code automates various development workflows, including handling pull requests and performing complex git rebases. It runs on Node.js (version 20 or higher) and can be installed globally via npm or from source. Users configure Qwen Code by setting API keys and endpoints, supporting both mainland China and international access. With Qwen Code, developers can explore codebases, refactor and optimize code, generate documentation, and automate repetitive tasks directly from the terminal. -
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Artillery
Cloud-scale load testing. Fully serverless, test any stack
Artillery is cloud-native, open source, and integrates with your favorite monitoring and CI/CD stack. Load test anything, at any scale. The most advanced load-testing platform in the world. Get started and run a test in minutes from your local machine. Then scale it out effortlessly. Free & open-source. Artillery scales like no other. Run your tests from your own AWS account with no infra to set up or manage. Use Playwright to load test with real browsers. Test HTTP, WebSocket, Socket.io,... -
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Rig
Rust framework for building modular and scalable LLM-powered apps
Rig is an open source Rust framework designed to help developers build modular and scalable applications powered by large language models. It provides a unified set of abstractions that allow applications to interact with many AI model providers and vector databases through a single interface. Its architecture emphasizes modularity, enabling developers to integrate only the components and integrations they need for a specific application. Rig includes built-in support for agent workflows,... -
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Step3-VL-10B
Multimodal model achieving SOTA performance
Step3-VL-10B is an open-source multimodal foundation model developed by StepFun AI that pushes the boundaries of what compact models can achieve by combining visual and language understanding in a single architecture. Despite having only about 10 billion parameters, it delivers performance that rivals or even surpasses much larger models (10×–20× larger) on a wide range of multimodal benchmarks covering reasoning, perception, and complex tasks, positioning it as one of the most powerful models in its class. It achieves this efficiency and strong performance through unified pre-training on a massive 1.2 trillion-token multimodal corpus that jointly optimizes a language-aligned perception encoder with a powerful decoder, creating deep synergy between image processing and text understanding. -
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JSCamp InfoJobs
Content and exercises fromJSCamp InfoJobs
...The repo also links to jscamp.dev, where the videos and course materials are hosted, and explains that access is free, with an optional paid certificate that includes extra support like CV review, exercise feedback, and exclusive workshops. Detailed installation requirements are listed (modern browser, VS Code, Live Preview extension, Node.js 20+, Git, Docker, etc. -
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ParallelStencil.jl
Package for writing high-level code for parallel stencil computations
...Performance similar to CUDA C / HIP can be achieved, which is typically a large improvement over the performance reached when using only CUDA.jl or AMDGPU.jl GPU Array programming. For example, a 2-D shallow ice solver presented at JuliaCon 2020 [1] achieved a nearly 20 times better performance than a corresponding GPU Array programming implementation; in absolute terms, it reached 70% of the theoretical upper performance bound of the used Nvidia P100 GPU, as defined by the effective throughput metric, T_eff. ParallelStencil relies on the native kernel programming capabilities of CUDA.jl and AMDGPU.jl and on Base.Threads for high-performance computations on GPUs and CPUs, respectively. ... -
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js-libp2p-monorepo
The JavaScript Implementation of libp2p networking stack
...In order to build P2P applications, devs have long had to make custom ad-hoc solutions to fit their needs, sometimes making some hard assumptions about their runtimes and the state of the network at the time of their development. Today, looking back more than 20 years, we see a clear pattern in the types of mechanisms built around the Internet Protocol, IP, which can be found throughout many layers of the OSI layer system, libp2p distils these mechanisms into flat categories and defines clear interfaces that once exposed, enable other protocols and applications to use and swap them, enabling upgradability and adaptability for the runtime, without breaking the API. -
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PyG
Graph Neural Network Library for PyTorch
...In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support, distributed graph learning via Quiver, a large number of common benchmark datasets (based on simple interfaces to create your own), the GraphGym experiment manager, and helpful transforms, both for learning on arbitrary graphs as well as on 3D meshes or point clouds. All it takes is 10-20 lines of code to get started with training a GNN model (see the next section for a quick tour).
