Showing 8 open source projects for "rust language"

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  • 1
    ty

    ty

    An extremely fast Python type checker and language server

    ty is an extremely fast Python type checker and language server built in Rust, designed to provide highly responsive and accurate static analysis for modern Python development workflows. It is positioned as a next-generation alternative to tools such as mypy and Pyright, offering significantly faster performance through incremental analysis and optimized execution. The tool is designed from the ground up to power editor integrations, enabling real-time feedback as developers write code with minimal latency. ty includes advanced type system capabilities such as intersection types, improved type inference, and detailed diagnostics that help identify issues even in partially typed codebases. ...
    Downloads: 5 This Week
    Last Update:
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  • 2
    ChatDBG

    ChatDBG

    ChatDBG - AI-assisted debugging. Uses AI to answer 'why'

    ChatDBG is an AI-assisted debugging tool that integrates large language models into standard debuggers like pdb, lldb, and gdb. It allows developers to engage in a dialog with the debugger, asking open-ended questions about their program's behavior, and provides error diagnoses and suggested fixes.
    Downloads: 0 This Week
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  • 3
    py2many

    py2many

    Transpiler of Python to many other languages

    Python is popular, and easy to program in, but it has poor runtime performance. We can fix that by transpiring a subset of the language into a more performant, statically typed language. A second benefit is security. Writing security-sensitive code in a low-level language like C is error-prone and could lead to privilege escalation. Specialized languages such as wuffs exist to address this use case. py2many can be a more general-purpose solution to the problem where you can verify the source...
    Downloads: 1 This Week
    Last Update:
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  • 4
    txtai

    txtai

    Build AI-powered semantic search applications

    txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. Traditional search systems use keywords to find data. Semantic search applications have an understanding of natural language and identify results that have the same meaning, not necessarily the same keywords. Backed by state-of-the-art machine learning models, data is transformed into vector representations for search (also known as embeddings). Innovation is happening at a rapid...
    Downloads: 0 This Week
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  • 5
    OmniPull

    OmniPull

    Just pull anything

    OmniPull is a powerful, cross-platform download manager built with Python and PySide6. It provides a modern, intuitive interface for managing downloads with advanced features like multi-threading, queue management, and media extraction.
    Downloads: 7 This Week
    Last Update:
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  • 6
    pipeless

    pipeless

    A computer vision framework to create and deploy apps in minutes

    Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. You provide some functions that are executed for new...
    Downloads: 0 This Week
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  • 7
    rust.vim

    rust.vim

    Vim configuration for Rust

    ...Though it doesn’t itself provide full language-server (LSP) capabilities, it lays the foundation so you can plug in LSP or other completion/diagnostic plugins. Many Rust users say that rust.vim is a reliable baseline for making Vim feel like a competent Rust editor rather than a bare text editor.
    Downloads: 0 This Week
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  • 8
    m2cgen

    m2cgen

    Transform ML models into a native code

    ...You can try to cast your input data to another type manually and check results again. Also, some small differences can happen due to specific implementation of floating-point arithmetic in a target language.
    Downloads: 1 This Week
    Last Update:
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