Search Results for "website code viewer"
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Showing 3 open source projects for "website code viewer"
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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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modrinth
The Modrinth monorepo containing all code which powers Modrinth
modrinth is the primary open-source monolithic repository that contains the backend, web interface, and core infrastructure powering the Modrinth mod distribution platform. The project consolidates the codebase used to operate the Modrinth website, its APIs, and related services that allow users to discover, publish, and manage Minecraft mods, plugins, and modpacks. The platform is designed to support a modern ecosystem for mod distribution, providing developers with tools to upload and... -
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Roblox Anti-AFK • AntiAFK-RBX
Roblox Anti-AFK. The program for AntiAFK and Multi-Instance in Roblox.
• AntiAFK-RBX | Roblox Anti-AFK • multi-instance • safe • simple • discreet for the user • open-source • ⚠️ | WARNING: AntiAFK-RBX has NO official website, only https://github.com/Agzes/AntiAFK-RBX and this sourceforge project |⚠️ ❤️ | Download ONLY from official sources. See https://github.com/Agzes/AntiAFK-RBX/issues/32 for details and VirusTotal verification. |❤️ ⁉️ | The best program for AntiAFK and Multi-Instance in Roblox. Or just Roblox AntiAFK . |⁉️ ⭐ | simple, lightweight, discreet (for the user) and simply the best anti afk for Roblox | ⭐ 🚀 | AntiAFK-RBX work with BloxStrap/FishStrap/Roblox[base/shaders] | 🚀 🛡️Mit License 🧩 Source-Code -> https://github.com/Agzes/AntiAFK-RBX [tag: roblox auto move, afk, anti afk, antiafk, rbx, roblox, auto jump, multi account, 2+ roblox] -
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spark
A performance profiler for Minecraft clients, servers, and proxies
...It helps developers and server administrators analyze performance issues such as lag, high CPU usage, and memory bottlenecks. The plugin collects statistical information about the server’s execution and generates detailed profiling data that can be used to identify inefficient code or problematic plugins. spark includes tools for CPU profiling, memory inspection, and monitoring server health metrics over time. The profiling data is typically visualized through an online viewer that displays call graphs and flame graphs to help users interpret performance results. Because it is lightweight and designed to run in production environments, administrators can safely use it on live servers to diagnose performance issues without significant overhead.
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