Search Results for "deployment tool" - Page 15
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Showing 388 open source projects for "deployment tool"
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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Goliath Adaptive Documentation Project
This is the Goliath Adaptive WEB Application Engine Documentation
This is the Goliath Adaptive Documentation Project. Goliath-Adaptive is a fully functional WEB Application Engine / RAD Tool that include several functionalities: * Integrated Development Environment (IDE), * Complete Framework with standarized DB Access libraries, Dynamic Forms creation * Several Plug-ins for importing and exporting data, email, data conversion, database management * Simplified Content Management System with WYSIWYG HTML/CSS editor * Javascript framework with easy AJAX support and common widgets * OLAP Cubes and Reports designers * Database and CVS/SVN tools for easy deployment and version control * WEB 2.0/HTML5/CSS3 READY supporting JQuery, ExtJs/Sencha, Dojo and many other Javascript frameworks. -
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A application deployment environment may have multiple config file for different component, here is the tool to put all the config file into MYSQL database, and supply web interface for user to add/edit config option, client lib convert to config file
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XDoclet is an extended Javadoc Doclet engine. It's a generic Java tool that lets you create custom Javadoc @tags and based on those @tags generate source code or other files (such as xml-ish deployment descriptors) using a template engine it provides.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Creation of a framework for deployment of Web application on application servers. J2EE and Java embedded servers, .NET and PHP versions. We also develop a Web authoring tool, Cuckoo in Word VBA.
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The PHLIPS project is a PHP extension for CLIPS, a tool for building expert systems. It provides PHP with a basic interface to a CLIPS environment. Its purpose is to allow deployment of expert systems in PHP.
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SuperAlbum is a java based digital photo album creation and deployment tool. It allows for easy management and viewing of your digital photos thru deployment on the web. The Viewer can be customized and extended to create a unique viewing experience
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Siege is a J2EE tool suite that expedites the development and deployment of EJB/Web applications. Siege is currently being developed and tested using the JBoss container.
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Grammar deployment is the process of turning a given grammar specification into a working parser. The Grammar Deployment Kit (for short, GDK) provides tool support in this process based on grammar engineering methods.
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MammCAD is a tool suite for performing rapid computer aided diagnosis of radiographic mammogram images. It is intended to be used for rapid development and deployment of low-cost CAD machines.
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Sherman is a tool designed to aid in the deployment of Win9x workstations and software within an organization. The linux-based bootdiskallows for the unattended installation of Win9x, while the client provides basic software packaging services.
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A tool for automatic system and software deployment. Designed to auto provision new instances using openVZ and to provide end to end management of the instance and associated storage and security. Utilizing a CMDB and ITIL driven processes.
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Hunyuan-A13B-Instruct
Efficient 13B MoE language model with long context and reasoning modes
...While the total model includes 80 billion parameters, only 13 billion are active per forward pass, making it highly efficient while maintaining strong performance across benchmarks. It supports up to 256K context tokens, advanced reasoning (CoT) abilities, and agent-based workflows with tool parsing. The model offers both fast and slow thinking modes, letting users trade off speed for deeper reasoning. It excels in mathematics, science, coding, and multi-turn conversation tasks, rivaling or outperforming larger models in several areas. Deployment is supported via TensorRT-LLM, vLLM, and SGLang, with Docker images and integration guides provided. ... -
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The ATG import service enables the import of external data into ATG repositories. The tool creates a Content Administration (CA) project, imports the data and checks it in (in prepartion for deployment).
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Altar-1
Pruned GLM-5.3 model for self-hosted cybersecurity AI and coding
...The model was calibrated using cybersecurity traces, coding, tool calling, reasoning, English, and multilingual Wikipedia data to preserve domain specialists during pruning. Its routed experts use INT4 W4A16 AWQ quantization, while attention, shared experts, dense layers, and the output head remain BF16. The resulting weights occupy about 328 GB and are designed for production deployment on four NVIDIA H200 GPUs through vLLM, including 128K-context workloads. -
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Laguna XS.2
Open agentic coding model optimized for local deployment
...It uses a hybrid attention architecture that combines Sliding Window Attention and global attention layers, reducing memory requirements and improving inference speed. Laguna XS.2 supports native reasoning with interleaved thinking between tool calls, enabling more capable autonomous coding agents and multi-step workflows. The model features a 262K-token context window, preserved reasoning across interactions, FP8 KV-cache optimization, and compatibility with local deployment ecosystems such as Ollama and vLLM. -
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DeepSeek-V3.1-Terminus
685B model with improved agents and consistency
...It improves language consistency, reducing mixed Chinese-English outputs and eliminating abnormal characters, enhancing reliability in multilingual scenarios. The update also refines agentic capabilities, especially for the Code Agent and Search Agent, leading to better tool integration and query handling. Benchmarks show small but notable gains, such as raising MMLU-Pro from 84.8 to 85.0, GPQA-Diamond from 80.1 to 80.7, and SWE Verified from 66.0 to 68.4, along with significant improvements in agent benchmarks like BrowseComp (30.0 → 38.5) and Terminal-bench (31.3 → 36.7). The model structure remains the same as DeepSeek-V3, ensuring compatibility with existing deployment methods, with updated inference demos provided for community use. -
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Ministral 3 14B Instruct 2512
Efficient 14B multimodal instruct model with edge deployment and FP8
Ministral 3 14B Instruct 2512 is the largest model in the Ministral 3 family, delivering frontier performance comparable to much larger systems while remaining optimized for edge-level deployment. It combines a 13.5B-parameter language model with a 0.4B-parameter vision encoder, enabling strong multimodal understanding in both text and image tasks. This FP8 instruct-tuned variant is designed specifically for chat, instruction following, and agentic workflows with robust system-prompt adherence. Despite its size, the model is engineered for practical deployment, capable of running locally on a single 24GB GPU when served in FP8 and even less with further quantization. ... -
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Hy3 preview
Efficient MoE model for reasoning, coding, and AI agent workflows
...Hy3-preview is optimized for efficient deployment while maintaining strong benchmark performance across reasoning, coding, and agent evaluations. It supports function calling, integration with popular agent frameworks such as OpenClaw and OpenCode, and deployment through Transformers. -
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Devstral Small 2
Lightweight 24B agentic coding model with vision and long context
Devstral Small 2 is a compact agentic language model designed for software engineering workflows, excelling at tool usage, codebase exploration, and multi-file editing. With 24B parameters and FP8 instruct tuning, it delivers strong instruction following while remaining lightweight enough for local and on-device deployment. The model achieves competitive performance on SWE-bench, validating its effectiveness for real-world coding and automation tasks. -
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Nex-N2-mini
Compact agentic model for coding, tools, and productivity tasks
Nex-N2-mini is an open-source agentic model from Nex AGI designed for real-world productivity, coding, tool use, deep research, and terminal-based execution. Built on Qwen3.5-35B-A3B-Base, it offers a lighter latency and deployment profile than Nex-N2-Pro while preserving the core Nex-N2 “Agentic Thinking” framework. This framework unifies requirement understanding, planning, code implementation, environmental feedback, debugging, evaluation, and iteration into a closed loop. ... -
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Ministral 3 8B Instruct 2512
Compact 8B multimodal instruct model optimized for edge deployment
...This FP8 instruct-fine-tuned variant is optimized for chat, instruction following, and structured outputs, making it ideal for daily assistant tasks and lightweight agentic workflows. Designed for edge deployment, the model can run on a wide range of hardware and fits locally on a single 12GB GPU, with the option for even smaller quantized configurations. 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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Command A+
4-bit Command A+ model for enterprise agents and multilingual tasks
Command A+ 05-2026 W4A4 is a 4-bit quantized version of Cohere’s open-source Command A+ model, optimized for enterprise-grade agentic, multilingual, and reasoning-heavy workloads. It supports text and image inputs, generates text outputs, and uses a sparse Mixture-of-Experts Transformer architecture with 218B total parameters and 25B active parameters. The W4A4 release applies 4-bit weight and activation quantization mainly to MoE experts, preserving attention components at full precision to... -
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Hermes 4
Hermes 4 FP8: hybrid reasoning Llama-3.1-405B model by Nous Research
Hermes 4 405B FP8 is a cutting-edge large language model developed by Nous Research, built on Llama-3.1-405B and optimized for frontier reasoning and alignment. It introduces a hybrid reasoning mode with explicit <think> segments, enabling the model to deliberate deeply when needed and switch to faster responses when desired. Post-training improvements include a vastly expanded corpus with ~60B tokens, boosting performance across math, code, STEM, logic, creativity, and structured outputs.... -
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GLM-4.5-Air
Compact hybrid reasoning language model for intelligent responses
GLM-4.5-Air is a multilingual large language model with 106 billion total parameters and 12 billion active parameters, designed for conversational AI and intelligent agents. It is part of the GLM-4.5 family developed by Zhipu AI, offering hybrid reasoning capabilities via two modes: a thinking mode for complex reasoning and tool use, and a non-thinking mode for immediate responses. The model is optimized for efficiency and deployment, delivering strong results across 12 industry benchmarks, with a composite score of 59.8. GLM-4.5-Air supports both English and Chinese, and is suitable for tasks involving text generation, coding, reasoning, and tool calling. ...
