[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-76084":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":16,"stars30d":17,"stars90d":16,"forks30d":16,"starsTrendScore":16,"compositeScore":18,"rankGlobal":10,"rankLanguage":10,"license":10,"archived":19,"fork":19,"defaultBranch":20,"hasWiki":21,"hasPages":19,"topics":22,"createdAt":10,"pushedAt":10,"updatedAt":23,"readmeContent":24,"aiSummary":25,"trendingCount":16,"starSnapshotCount":16,"syncStatus":26,"lastSyncTime":27,"discoverSource":28},76084,"deepmlab","yuanzhongqiao\u002Fdeepmlab","yuanzhongqiao","An Open-Source Alternative to MATLAB: LLM-Driven & Scilab-Based AI Mathematical Modeling Tool with Natural Language Interface","http:\u002F\u002Fwww.deepmlab.com",null,"Scilab",1078,120,49,6,0,700,61.25,false,"main",true,[],"2026-06-12 04:01:20","# Deep Mlab   Alternative to MATLAB  AI inside\n\nLLM-Driven, Scilab Kernel, Alternative to MATLAB, Open Source, AI-Driven Mathematical Modeling Tool, Natural Language Modeling\n\n\nDeepMathLab    是基于知名Scilab的开源项目，由深圳德沛开源数据科技有限公司维护，遵守开源协议，加入大模型。\n\n** 通过大模型做数值仿真的系统，在线体验  ：  www.deepmlab.com  **\n\n\n# 通过大模型做数值仿真的系统\n\n这里分享的是 Scilab 开源项目\n\n\n\nScilab\n======\n\n[![Latest Release](https:\u002F\u002Fgitlab.com\u002Fscilab\u002Fscilab\u002F-\u002Fbadges\u002Frelease.svg)](https:\u002F\u002Fgitlab.com\u002Fscilab\u002Fscilab\u002F-\u002Freleases)\n\n![Scilab desktop preview](scilab\u002Fdesktop\u002Fimages\u002Fscilab-desktop.png \"Scilab desktop\")\n\n# What does Scilab do?\n\nScilab includes hundreds of mathematical functions. It has a high-level programming language allowing access to advanced data structures, 2-D and 3-D graphical functions. A large number of functionalities is included in Scilab:\n\n\u003Cdl>\n  \u003Cdt>Maths & Simulation\u003C\u002Fdt>\n  \u003Cdd>For usual engineering and science applications including mathematical operations and data analysis.\u003C\u002Fdd>\n\n  \u003Cdt>2-D & 3-D Visualization\u003C\u002Fdt>\n  \u003Cdd>Graphics functions to visualize, annotate and export data and many ways to create and customize various types of plots and charts.\u003C\u002Fdd>\n\n  \u003Cdt>Optimization\u003C\u002Fdt>\n  \u003Cdd>Algorithms to solve constrained and unconstrained continuous and discrete optimization problems.\u003C\u002Fdd>\n\n  \u003Cdt>Statistics\u003C\u002Fdt>\n  \u003Cdd>Tools to perform data analysis and modeling.\u003C\u002Fdd>\n\n  \u003Cdt>Control System Design & Analysis\u003C\u002Fdt>\n  \u003Cdd>Standard algorithms and tools for control system study.\u003C\u002Fdd>\n\n  \u003Cdt>Signal Processing\u003C\u002Fdt>\n  \u003Cdd>Visualize, analyze and filter signals in time and frequency domains.\u003C\u002Fdd>\n\n  \u003Cdt>Application Development\u003C\u002Fdt>\n  \u003Cdd>Increase Scilab native functionalities and manage data exchanges with external tools.\u003C\u002Fdd>\n\n  \u003Cdt>Xcos - Hybrid dynamic systems modeler and simulator\u003C\u002Fdt>\n  \u003Cdd>Modeling mechanical systems, hydraulic circuits, control systems...\u003C\u002Fdd>\n\u003C\u002Fdl>\n\n\n\n# License\nScilab is available under the GPL v2.0 License. What does it means? You have the freedom to:\n\nuse the software for any purpose,\nchange the software to suit your needs,\nshare the software with your friends and neighbors, and\nshare the changes you make.\nFor more details about GPL licenses (compatibility, ...), you can refer to the GPL quick guide.\n\nHow to distribute an application based on Scilab without violating the GPL License?\n\nThe toolbox mechanism of Scilab enables you to develop applications on top of Scilab, while applying your own license (proprietary or free).\n","Deep Mlab 是一个基于Scilab的开源数学建模工具，旨在作为MATLAB的替代方案。它集成了大模型技术，支持自然语言接口，使得用户可以通过简单的自然语言命令来进行复杂的数学建模和数值仿真。该项目的核心功能包括数学与仿真、2D及3D可视化、优化算法、统计分析、控制系统设计与分析、信号处理以及应用开发等。此外，它还内置了Xcos，用于混合动态系统的建模与仿真。Deep Mlab适用于需要进行科学计算、工程模拟和技术研发的各种场景，尤其适合那些希望利用自然语言交互来简化复杂计算任务的用户。",2,"2026-06-11 03:54:25","CREATED_QUERY"]