Showing 4 open source projects for "chat application in python"

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    KemonoDownloader

    KemonoDownloader

    Kemono Downloader - A cross-platform Python app built with PyQt6

    Welcome to Kemono Downloader, a versatile Python-based desktop application built with PyQt6, designed to download content from Kemono.su. This tool enables users to archive individual posts or entire creator profiles from services like Patreon, Fanbox, and more, supporting a wide range of file types with customizable settings and advanced features.
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    Downloads: 250 This Week
    Last Update:
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  • 2
    Scrapyd

    Scrapyd

    A service daemon to run Scrapy spiders

    Scrapyd can manage multiple projects and each project can have multiple versions uploaded, but only the latest one will be used for launching new spiders. A common (and useful) convention to use for the version name is the revision number of the version control tool you’re using to track your Scrapy project code. For example: r23. The versions are not compared alphabetically but using a smarter algorithm (the same packaging uses) so r10 compares greater to r9, for example. Scrapyd is an...
    Downloads: 0 This Week
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  • 3
    CEF Python

    CEF Python

    Python bindings for the Chromium Embedded Framework (CEF)

    Python bindings for the Chromium Embedded Framework (CEF). CEF Python is an open source project founded by Czarek Tomczak in 2012 to provide Python bindings for the Chromium Embedded Framework (CEF). The Chromium project focuses mainly on Google Chrome application development while CEF focuses on facilitating embedded browser use cases in third-party applications.
    Downloads: 0 This Week
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  • 4
    Twitter Intelligence

    Twitter Intelligence

    Twitter Intelligence OSINT project performs tracking and analysis

    A project written in Python for Twitter tracking and analysis without using Twitter API. This project is a Python 3.x application. The package dependencies are in the file requirements.txt. Run that command to install the dependencies. SQLite is used as the database. Tweet data is stored on the Tweet, User, Location, Hashtag, HashtagTweet tables. The database is created automatically. analysis.py performs analysis processing.
    Downloads: 0 This Week
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