Search Results for "json-py" - Page 95
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Showing 2389 open source projects for "json-py"
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dataflowkit
Golang framework for scraping data from web pages
Golang Web Scraper library for extracting data from web pages. Save results as CSV, JSON, XML -
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JAST (Javascript Toolkit) is an Open Source cross-platform javascript framework that aid users to perform the most hard operations with few simple lines of code. It's modularity allow the download only for the code required to the page.
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experior
A minimalist, powerful, language-agnostic unit/regression test tool
Experior doesn't care what language your test program is written in. All it cares about is that each test's output begins and ends with a simple line of JSON. Your test program can validate its own output, in which case Experior just acts as a report engine. Alternatively -- or additionally -- you can write validation functions in JavaScript, and Experior will run them against the test output. Finally, Experior can compare your current test output against a copy of previous test output and alert you to regressions. -
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MediMods stands for Mediboard Modules. It aims at providing Mediusers with a single repository for all addons developped around Mediboard Healthcare Information System. Quality modules may eventually migrate to core Mediboard modules.
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A javascript templating toolkit that allows on-demand asynchronous dependencies loading (= html/css/js/other files ) for a given screen element, and automates template processing and display. It acts like a multitasking browser environment.
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Azerbaycandaki zeyif media sektorunun inkifına kömek etmek üçün hazırlanan Xeber Skripti. Esas Xususiyyetleri: Çox Dillidir, Müxtelif icazeli çoxlu quruplar ve bu quruplara üzv istifadeçiler, MVC destekli, anket vs kimi xeber sistemlerinde eht
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Gson is a Java library that can be used to convert arbitrarily complex Java Objects into its JSON representation.
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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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Hermes 4
Hermes 4 FP8: hybrid reasoning Llama-3.1-405B model by Nous Research
...Post-training improvements include a vastly expanded corpus with ~60B tokens, boosting performance across math, code, STEM, logic, creativity, and structured outputs. The model is designed for schema adherence, producing valid JSON and repairing malformed outputs, making it highly suitable for tool use and function calling. Hermes 4 is engineered for superior steerability with reduced refusal rates, aligning responses to user values while preserving assistant quality. It achieves state-of-the-art results on RefusalBench, outperforming both closed and open models in balancing helpfulness with adaptability. -
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Qwen2.5-VL-3B-Instruct
Qwen2.5-VL-3B-Instruct: Multimodal model for chat, vision & video
...It uses a SwiGLU and RMSNorm-enhanced ViT architecture and introduces mRoPE updates for robust temporal and spatial understanding. The model supports flexible image input (file path, URL, base64) and outputs structured responses like bounding boxes or JSON, making it highly versatile in commercial and research settings. It excels in a wide range of benchmarks such as DocVQA, InfoVQA, and AndroidWorld control tasks. -
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Ein kleiner Kalender Server der eine WEB-GUI hat und XML sowie ICAL formate versendet und empfangen kann. LOGIN über HTTP und verschlüsselte Übertragung bei Socketverbindungen
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DiffusionGemma
NVFP4 DiffusionGemma model for fast multimodal text generation
...Its diffusion-based generation produces tokens in parallel 256-token blocks, enabling very high-speed output, with reported generation above 1,100 tokens per second on NVIDIA Hopper H100 in FP8. The model supports a 256K-token context window, configurable thinking mode, native function calling, structured JSON output, and multilingual inference across 35+ languages. The NVFP4 quantization reduces weights and activations from 16-bit to 4-bit, lowering disk size and GPU memory needs for vLLM deployment. -
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Command A+
4-bit Command A+ model for enterprise agents and multilingual tasks
...Cohere recommends W4A4 for most users because it offers a smaller hardware footprint with negligible benchmark differences compared to BF16 and FP8 versions. The model supports a 128K input context and 64K output length, covers 48 languages, and includes conversational tool-use capabilities with JSON-schema tools and optional citation grounding. -
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Ministral 3 8B Instruct 2512
Compact 8B multimodal instruct model optimized for edge deployment
...Its multilingual support covers dozens of major languages, allowing it to work across diverse global environments and applications. The model adheres reliably to system prompts, supports native function calling, and outputs clean JSON, giving it strong tool-use behavior. -
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Disk Nukem
Disk Nukem is a mini-distro made to wipe safely disks based on DBAN
Disk Nukem is an open source, advanced wiping utility based on Darik’s Boot and Nuke (DBAN). It offers a new Kernel and more devices’ support, as well as a JSON/XML API, a web-based GUI, a callback/notification system in case of start,success and failure and many other features. It is well suited for a large audience including Internet Service Providers, System Administrators and Advanced End Users, just to name some. Disk Nukem is currently under development. You can contribute with donations and pull requests on GitHub. -
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Ministral 3 8B Reasoning 2512
Efficient 8B multimodal model tuned for advanced reasoning tasks.
...Despite its reasoning-focused training, the model remains edge-optimized and can run locally on a single 24GB GPU in BF16, or under 12GB when quantized. It supports dozens of languages, adheres reliably to system prompts, and provides native function calling and structured JSON output—key capabilities for agentic and automation workflows. The model also includes a 256k context window, allowing it to handle long documents and extended reasoning chains. -
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Ministral 3 14B Reasoning 2512
High-precision 14B multimodal model built for advanced reasoning tasks
...Despite its scale, the model is engineered for practical deployment and can run locally on 32GB of VRAM in BF16 or under 24GB when quantized. It maintains robust system-prompt adherence, supports dozens of languages, and provides native function calling with clean JSON output for agentic workflows. The model's architecture also delivers a 256k context window, unlocking large-document analysis and long-form reasoning. -
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Ministral 3 3B Instruct 2512
Ultra-efficient 3B multimodal instruct model built for edge deployment
...It supports dozens of languages across major global regions, making it well-suited for multilingual and embedded applications. The model also provides function calling, clean JSON output, and stable tool-use behavior, enabling it to serve as a small but effective agentic system. -
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Ministral 3 14B Instruct 2512
Efficient 14B multimodal instruct model with edge deployment and FP8
...Its multilingual support spans dozens of major languages, making it suitable for global, multilingual, and localized AI applications. The model’s architecture provides native function calling, structured JSON outputs, and reliable tool-use behavior essential for agentic automation. Overall, it delivers a powerful blend of -
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Ministral 3 3B Reasoning 2512
Compact 3B-param multimodal model for efficient on-device reasoning
...It supports dozens of languages, allowing it to function across global and multilingual contexts. The model retains strong system-prompt adherence, supports function-calling with structured JSON output, and offers a large 256k token context window for extended context reasoning. -
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opnCMS
frontend for CppCMS web-framework
opnCMS - crossplatform C++ frontend for CppCMS web-framework -
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Vortex
Async message based communication system for different languages
Different implementations of a JSON based protocol for interchange of messages between different programming languages in a peer to peer fashion. Currently Java and Javascript support, but more coming. -
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Simple sistem to shorten urls. * Use Adler32 to make hash and save url in a tree of directories. * Not use sql databases. * When make hash, return json with data * To activate redirect, only use hash as subdirectory. Ex: http://localhost/urls/[hash]
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an Apache httpd 2.x module which informs clients about the progress of their file upload. The information formats: JSON, XML, TSV and Text. This is independent of dynamic page systems so you can use this with CGI, FastCGI, PHP, Java and so on.
