Showing 7 open source projects for "what"

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  • 1
    Dash

    Dash

    Build beautiful web-based analytic apps, no JavaScript required

    Dash is a Python framework for building beautiful analytical web applications without any JavaScript. Built on top of Plotly.js, React and Flask, Dash easily achieves what an entire team of designers and engineers normally would. It ties modern UI controls and displays such as dropdown menus, sliders and graphs directly to your analytical Python code, and creates exceptional, interactive analytics apps. Dash apps are very lightweight, requiring only a limited number of lines of Python or R code; and every aesthetic element can be customized and rendered in the web. ...
    Downloads: 3 This Week
    Last Update:
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  • 2
    Ahoy

    Ahoy

    Simple, powerful, first-party analytics for Rails

    Ahoy is a first-party analytics library built primarily for Ruby on Rails, designed to let applications track visits and events in a clean, integrated way rather than relying on third-party tooling. It stores data in your own database by default, which gives developers full control over what data is captured, how it's processed, and how it’s used, sidestepping privacy concerns of external analytics providers. The library supports Rails, JavaScript, and native apps, making it flexible across front-end/back-end and mobile contexts. Because it’s designed for developers who already own their data stack, Ahoy encourages self-hosted analytics workflows, custom reporting, and integration with existing database infrastructure. ...
    Downloads: 0 This Week
    Last Update:
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  • 3
    AI learning

    AI learning

    AiLearning, data analysis plus machine learning practice

    ...We are also exploring other categories of open source solutions and protocols. I hope you will understand this initiative, combine this initiative with your own interests, and do what you can. Everyone's tiny contributions, together, are the entire open source ecosystem. We are iBooker, a large open-source community, we-media, and online earning community, with a QQ group of more than 10,000 people and at least 10,000 subscribers. The number of Github Stars exceeds 60k, and it ranks in the top 100 of all Github organizations. ...
    Downloads: 0 This Week
    Last Update:
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  • 4
    EyePro v3.0 (ergo)

    EyePro v3.0 (ergo)

    Award winning eye health monitoring and Work Stress reliever

    What is EyePro? EyePro is a handy PC application that regularly reminds you to take “Short Breaks for your Eyes” with many exciting, customizable and Innovative features. It is an innovative tool done under the guidance of eminent Eye Doctors Who is Eye Pro for? Everyone who spends more than a 2 hours per day looking at a display.
    Downloads: 2 This Week
    Last Update:
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  • 5

    BriPy

    A BRIC-seq data analysis package written in Python.

    -What is BriPy? BriPy package is a BRIC-seq data analysis tool written in Python. It can calculate RNA half-life for each transcript and draw graphs describing the kinetics of RNA decay. In the future, it will provide several useful modules(e.g. calculating RPKM of each transcript from BAM file or ELAND output file). -Prerequisites To use BriPy package, you will need Python and the following extension packages.
    Downloads: 0 This Week
    Last Update:
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  • 6
    LoLChampStats

    LoLChampStats

    LoL Game Data Analysis

    ...Currently, we support summoners on NA, EUW and EUWE, but have plans to expand to other regions as RIOT's API allows. Development is very active and I am always taking feature requests on top of what I already have planned. Constructive criticism is welcome! Feature Highlights: - Breakdown by Role, Side, Champion - Find your best solo queue allies and worst enemies - Omit troll and AFK games from stats collection for truly accurate data - Many more currently in development!
    Downloads: 0 This Week
    Last Update:
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  • 7
    EnvStats

    EnvStats

    An R Package for Environmental Statistics

    ...EnvStats brings the major environmental statistical methods found in the literature and regulatory guidance documents into one statistical package, along with an extensive hypertext help system that explains what these methods do, how to use these methods, and where to find them in the environmental statistics literature. Also included are numerous built-in data sets from regulatory guidance documents and the environmental statistics literature. EnvStats combined with other R packages (e.g., for spatial analysis) provides the environmental scientist, statistician, researcher, and technician with tools to “get the job done!”
    Downloads: 0 This Week
    Last Update:
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