Search Results for "statistics"
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Showing 6 open source projects for "statistics"
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1
Flood
A modern web UI for various torrent clients
Flood is a modern web-based interface for various torrent clients, featuring a Node.js backend and a React frontend, providing a comprehensive tool for managing torrent downloads. -
2
Fast-CLI
Test your download and upload speed using fast.com
Fast-CLI is a command-line interface tool that allows users to test their internet connection speed using the Fast.com service. -
3
Git Truck
Git repository visualizations, cumulative contribution statistics
Git-Truck is a visualization tool for analyzing Git repositories. It provides insights into codebase ownership, contributor activity, and repository structure through interactive visualizations. -
4
GrowthBook
Open source feature flagging and AB testing platform
...The platform is designed for performance and scale: its SDKs are lightweight, supporting local evaluation to minimize latency, and it integrates deeply with existing data stacks so you can use your warehouse or analytics system as the source of truth. Experimentation in GrowthBook isn’t just toggles; its statistics engine supports advanced techniques like CUPED, Bayesian, and sequential testing, and control group checks so you can confidently measure impact. -
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5
Shumai
Fast Differentiable Tensor Library in JavaScript & TypeScript with Bun
Shumai is an experimental differentiable tensor library for TypeScript and JavaScript, developed by Facebook Research. It provides a high-performance framework for numerical computing and machine learning within modern JavaScript runtimes. Built on Bun and Flashlight, with ArrayFire as its numerical backend, Shumai brings GPU-accelerated tensor operations, automatic differentiation, and scientific computing tools directly to JavaScript developers. It allows seamless integration of machine... -
6
GitHub Rater
Check your GitHub rating, view results and enhance your quality
...The application’s frontend is built with modern web frameworks and interacts with GitHub’s API to gather real-time data, handling errors and edge cases gracefully. Its interface visualizes metrics and recommendations, making the assessment accessible even to those unfamiliar with raw GitHub statistics.
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