Showing 4 open source projects for "web traffic analysis"

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  • 1
    Quadratic

    Quadratic

    Data science spreadsheet with Python & SQL

    Quadratic enables your team to work together on data analysis to deliver better results, faster. You already know how to use a spreadsheet, but you’ve never had this much power before. Quadratic is a Web-based spreadsheet application that runs in the browser and as a native app (via Electron). Our goal is to build a spreadsheet that enables you to pull your data from its source (SaaS, Database, CSV, API, etc) and then work with that data using the most popular data science tools today (Python, Pandas, SQL, JS, Excel Formulas, etc). ...
    Downloads: 13 This Week
    Last Update:
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  • 2
    NuzeBot

    NuzeBot

    Finds interesting news headlines.

    This is a bot to finds the news you want to see. It can be made to find the news that interests you and reject everything else. View on one page the most interesting headlines from many websites.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Catbird Linux

    Catbird Linux

    Linux for content creation, web scraping, coding, and data analysis.

    Catbird Linux is a USB pluggable Live Linux operating system built for media creation, web scraping, and software coding. It is the daily driver you want for retrieving data, making videos or podcasts, and making software tools to automate the repetitive tasks. It is ready for work in Python, Lua, and Go languages, with numerous packages for web scraping or downloading data via API calls. Using Catbird Linux, it is possible to accomplish in depth stock market analysis, track weather trends, follow social media sentiment, or do other tasks in data science. ...
    Downloads: 10 This Week
    Last Update:
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  • 4

    slycat

    Web-based data science analysis and visualization platform.

    This is Slycat - a web-based data science analysis and visualization platform, created at Sandia National Laboratories. The goal of the Slycat project is to develop processes, tools and techniques to support data science, particularly analysis of large, high-dimensional data.
    Downloads: 0 This Week
    Last Update:
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