4 projects for "java html parser" with 2 filters applied:

  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • Keep company data safe with Chrome Enterprise Icon
    Keep company data safe with Chrome Enterprise

    Protect your business with AI policies and data loss prevention in the browser

    Make AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
    Download Chrome
  • 1
    Cloud9 is a web-based MUD client that uses the full power of JavaScript, HTML, and CSS in order to deliver a flexible, good looking, powerful MUD client that can run on any machine without installation, utilizing a plain web browser (w/ JVM 1.4 support).
    Downloads: 0 This Week
    Last Update:
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  • 2
    Written in 100% pure Java NIO is used to provide Non-Blocking connections. Persistence can be handled using a Database or xml files. It features html and ansi colour, city politics, siege weapons, destructible rooms and dynamically created areas.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Dark Age of Camelot (DAoC) Log Analyser written in Java that creates HTML statistic from your chat.log file.
    Downloads: 0 This Week
    Last Update:
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  • 4
    adenaplix svn. sources in java, html, xml and jython
    Downloads: 0 This Week
    Last Update:
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  • Cloud data warehouse to power your data-driven innovation Icon
    Cloud data warehouse to power your data-driven innovation

    BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

    BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.
    Try for free
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