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Showing 4 open source projects for "typing"

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  • 1
    Rime ICE

    Rime ICE

    rime-ice is a highly optimized schema for the RIME input method

    rime-ice is a highly optimized schema for the RIME (中州韻) input method engine, offering a clean, intelligent, and efficient Chinese input experience. Built with modular configuration files and designed for performance, rime-ice provides powerful input suggestions, simplified vocabulary, and flexible customization, catering to users who want a streamlined and practical Chinese typing setup.
    Downloads: 3 This Week
    Last Update:
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  • 2
    better-escape.nvim

    better-escape.nvim

    Map keys without delay when typing

    A lot of people have mappings like jk or jj to escape insert mode. The problem with these mappings is that whenever you type a j, neovim wait about 100-500ms (depending on your timeoutlen) to see if you type a j or a k because these are mapped. Only after that time, the j will be inserted. Then you always get a delay when typing a j.
    Downloads: 0 This Week
    Last Update:
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  • 3
    z.lua

    z.lua

    A new cd command that helps you navigate faster

    ... changed with "$_ZL_ADD_ONCE" set to 1. Interactive selection enables you to choose where to go before cd. Integrated with FZF (optional) for interactive selection and completion. Quickly go back to a parent directory instead of typing "cd ../../..". Corresponding experience in different shells and operating systems. 10x times faster than fasd and autojump, 3x times faster than z.sh.
    Downloads: 0 This Week
    Last Update:
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  • 4
    ISlice is Excel formula scripting framework. It allows to link worksheet cells by buildeing descriptive data models in iSlice Editor - without use of incell formula typing.
    Downloads: 0 This Week
    Last Update:
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    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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