Showing 4 open source projects for "open any file"

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  • Pimberly PIM - the leading enterprise Product Information Management platform. Icon
    Pimberly PIM - the leading enterprise Product Information Management platform.

    Pimberly enables businesses to create amazing online experiences with richer, differentiated product descriptions.

    Drive amazing product experiences with quality product data.
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  • 1
    Command Line Parser GetPot

    Command Line Parser GetPot

    Tool to parse the command line and configuration files.

    Powerful command line and configuration file parsing for C++, Python, Ruby and Java (others to come). This tool provides many features, such as separate treatment for options, variables, and flags, unrecognized object detection, prefixes and much more.
    Downloads: 1 This Week
    Last Update:
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  • 2
    Using encryption to secure your code or text. Click File->Run to run your code using Ruby, see the pop up for output. Never save your text or code to disk unencrypted. Don't forget your password. Encryption is error-persistent.
    Downloads: 0 This Week
    Last Update:
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  • 3
    A Ruby file parser/interpreter/preprocessor that comments lines of code based on conditions at the time the file is required. Very handy to implement debugging logs and code that has to be commented (not just dynamically switched off).
    Downloads: 0 This Week
    Last Update:
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  • 4
    JRuby is the effort to recreate the Ruby interpreter in Java. JRuby is tightly integrated with Java to allow both to script any Java class and to embed the interpreter into any Java application. NOTE: JRuby has moved to Codehaus, visit jruby.codehaus.org
    Downloads: 5 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.
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