Search Results for "core-analyzer"
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Showing 11 open source projects for "core-analyzer"
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flamebearer
A JavaScript CPU trace analysis tool for agents and humans
Flamebearer is a JavaScript command-line CPU trace analyzer designed for both developers and coding agents. It reads Chrome DevTools Performance recordings and Node.js .cpuprofile files. Instead of producing a visual flame graph, the current version summarizes traces as compact structured text. Reports highlight major CPU offenders, hot source lines, long tasks, and other areas worth investigating. -
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deck.gl
WebGL2 powered visualization framework
...Users can quickly get impressive visual results with minimal effort by composing existing layers, or leveraging deck.gl's extensible architecture to address customer needs. deck.gl maps data (usually an array of JSON objects) into a stack of visual layers - e.g. icons, polygons, texts; and look at them with views: e.g. map, first-person, orthographic. deck.gl handles a number of challenges out of the box. Deck.gl is designed to be highly customizable. All layers come with flexible APIs to allow programmatic control of each aspect of the rendering. All core classes such are easily extendable by the users to address custom use cases. deck.gl is part of vis.gl, an OpenJS Foundation project. Read the contribution guidelines if you are interested in contributing. -
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Cytoscape.js
Graph theory library for visualization and analysis
A fully featured graph library written in pure JS. Permissive open source license (MIT) for the core Cytoscape.js library and all first-party extensions. Used in commercial projects and open-source projects in production. Designed for users first, for both frontfacing app usecases and developer usecases. Highly optimized. Compatible with All modern browsers. Legacy browsers with ES5 and canvas support. ES5 and canvas support are required, and feature detection is used for optional performance enhancements. ... -
4
Chokidar
Minimal and efficient cross-platform file watching library
...Initially made for Brunch (an ultra-swift web app build tool), it is now used in Microsoft's Visual Studio Code, gulp, karma, PM2, browserify, webpack, BrowserSync, and many others. It has proven itself in production environments. Chokidar does still rely on the Node.js core fs module, but when using fs.watch and fs.watchFile for watching, it normalizes the events it receives, often checking for truth by getting file stats and/or dir contents. -
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plotly.js
JavaScript charting library behind Plotly and Dash
Plotly JavaScript Open Source Graphing Library. Built on top of d3.js and stack.gl, Plotly.js is a high-level, declarative charting library. plotly.js ships with over 40 chart types, including 3D charts, statistical graphs, and SVG maps. plotly.js is free and open source and you can view the source, report issues or contribute on GitHub. For plotly.js to build with Webpack you will need to install ify-loader@v1.1.0+ and add it to your webpack.config.json. This adds Browserify transform... -
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json-scada
A portable SCADA/IoT platform centered on the MongoDB database server.
Standard IT tools applied to SCADA/IoT (MongoDB, PostgreSQL/TimescaleDB,Node.js, C#, Golang, Grafana, etc.). MongoDB as the real-time core database, persistence layer, config store, SOE historian. Portability and interoperability over Linux, Windows, x86/64, ARM. Horizontal scalability, from a single computer to big clusters (MongoDB-sharding), Bare Metal, Docker containers, VM, cloud, or hybrid deployments. Unlimited tags, servers, and users. HTML5 Web interface. -
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Kattam
A professional, offline-first matrimonial candidate management system
...It handles the complete lifecycle of a matrimonial candidate — from data entry and horoscope chart generation to profile search, viewing, and PDF export — all without any internet connection. The app is designed to operate on the modest hardware common in Tamil Nadu matrimonial offices: single-core 1.6 GHz CPUs and 2 GB RAM systems running Windows 10. Every architectural decision from the SQLite WAL mode to the V8 heap cap reflects this constraint. It supports dual-company branding, letting bureaus operating under two names (e.g., Kattam Matrimony and Thirumanam Matrimony) generate PDFs and profiles under either brand with a single click. -
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Interactable
Experimental implementation of high performance interactable views
This is an experimental implementation of a declarative API for handling fluid user interactions with views at 60 FPS in React Native. Here are some example use-cases for views that users can interact with. Swipeable card (a la Google Now) springing into place unless swiped away with enough force. Drawer snapping between closed and open with buttons appearing gradually as it's being dragged. Collapsible header that snaps to a smaller size as the content below is being scrolled. Chat heads (a... -
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Rodeo
A data science IDE for Python
...RODEO, that is an open-source python IDE and has been brought up by the folks at yhat, is a development environment that is lightweight, intuitive and yet customizable to its very core and also contains all the features mentioned above that were searched for so long. It is just like your very own personal home base for exploration and interpretation of data that aims at Data Scientists and answers the main question, "Is there anything like RStudio for Python?" Rodeo makes it very easy for its users to explore what is created by them and also alongside allows the users to Inspect, interact, compare data frames, plots and even much more. ... -
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10
ShelterOps
ShelterOps - Animal and Wildlife data management software
...The animal module includes the ability to export data to PetFinder, Adopt A Pet or your website, as well as manage medical procedures, track treatment regimens, asilomar classiification and more. The core and optional modules within ShelterOps provide the framework to create a customized solution. -
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Xi Spectrum Viewer
Mass Spectrum Viewer Tool
...Spectrum Viewer is implemented totally on the client side using XHTML for menus and dialogs, SVG for spectrum and peptide display, and Javascript to drive functionality. It comprises 3 parts: (1) the core Spectrum Viewer displays peptide-spectrum matches and implements zooming, mouse-over peaks to highlight matching parts of peptide, mouse-over parts of peptide to highlight matching peaks, export SVG, and API; (2) the Auxiliary Annotator matches peptide to spectrum for given parameters and prepares the data for the Viewer; (3) these reside on a web page that provides the user control over peptides, spectra and other parameters e.g. linker mass.
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