Showing 100 open source projects for "mac mouse fix"

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  • 1
    KeymouseGo

    KeymouseGo

    Automate mouse clicks and keyboard input

    KeymouseGo is a lightweight, open-source Windows/Mac/Linux automation tool built with Python. It records and replays mouse and keyboard actions—for example, click sequences and typing—allowing repetition of repetitive tasks via scripts or GUI buttons.
    Downloads: 55 This Week
    Last Update:
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  • 2
    Input Remapper

    Input Remapper

    An easy to use tool to change the behaviour of your input devices

    An easy-to-use tool to change the behavior of your input devices. Supports X11, Wayland, combinations, programmable macros, joysticks, wheels, triggers, keys, mouse movements and more. Maps any input to any other input.
    Downloads: 118 This Week
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  • 3
    Dream Textures

    Dream Textures

    Stable Diffusion built-in to Blender

    Create textures, concept art, background assets, and more with a simple text prompt. Use the 'Seamless' option to create textures that tile perfectly with no visible seam. Texture entire scenes with 'Project Dream Texture' and depth to image. Re-style animations with the Cycles render pass. Run the models on your machine to iterate without slowdowns from a service. Create textures, concept art, and more with text prompts. Learn how to use the various configuration options to get exactly what...
    Downloads: 7 This Week
    Last Update:
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  • 4
    Kivy

    Kivy

    Innovative user interfaces made easy

    Kivy is an open source, cross-platform UI framework that lets you develop applications that make use of innovative, multi-touch user interfaces. Written in Python with a graphics engine built over OpenGL ES 2, Kivy supports various input devices and protocols, and gives you access to over 20 widgets that are all highly extensible and have built-in multi-touch support. You can run the same codebase on Mac, Windows, Linux, Android and iOS. Kivy is 100% free and open source with a...
    Downloads: 59 This Week
    Last Update:
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  • 5
    Open Interface

    Open Interface

    Control Any Computer Using LLMs

    Open Interface is a cross-platform application that allows users to control their computers using large language models (LLMs). By sending user requests to an LLM backend, it determines the necessary steps and executes them by simulating keyboard and mouse inputs. The system can adjust its actions based on real-time feedback, providing a self-driving computer experience.
    Downloads: 1 This Week
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  • 6
    Self-Operating Computer

    Self-Operating Computer

    A framework to enable multimodal models to operate a computer

    The Self-Operating Computer Framework is an innovative system that enables multimodal models to autonomously operate a computer by interpreting the screen and executing mouse and keyboard actions to achieve specified objectives. This framework is compatible with various multimodal models and currently integrates with GPT-4o, o1, Gemini Pro Vision, Claude 3, and LLaVa. Notably, it was the first known project to implement a multimodal model capable of viewing and controlling a computer screen....
    Downloads: 12 This Week
    Last Update:
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  • 7
    pyTermTk

    pyTermTk

    Python Terminal Toolkit - a Spiced Up TUI Library

    pyTermTk is a Text-based user interface library (TUI). Evolved from the discontinued project pyCuT and inspired by a mix of Qt5, GTK, and tkinter API definition with a touch of personal interpretation.
    Downloads: 2 This Week
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  • 8
    Strix

    Strix

    Open-source AI hackers to find and fix your app’s vulnerabilities

    Strix is an open source agent-driven security platform that uses autonomous AI agents to identify, investigate, and validate vulnerabilities in software applications. The system is designed to mimic the behavior of real attackers by executing dynamic testing and verifying findings through proof-of-concept exploitation. Unlike traditional vulnerability scanners that rely heavily on static analysis, Strix agents actively run code, probe systems, and attempt exploitation to confirm whether...
    Downloads: 12 This Week
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  • 9
    The Arcade Library

    The Arcade Library

    Easy to use Python library for creating 2D arcade games

    Arcade is an easy-to-use Python library for creating 2D video games. It provides a modern and straightforward API, enabling developers to craft engaging games and graphical applications efficiently. Arcade supports rendering shapes, handling user input, and managing game physics, making it suitable for both beginners and experienced developers.
    Downloads: 6 This Week
    Last Update:
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  • 10
    Pixelorama

    Pixelorama

    A free & open-source 2D sprite editor, made with the Godot Engine

    Pixelorama is a free and open-source pixel art editor, proudly created with the Godot Engine, by Orama Interactive. Whether you want to make animated pixel art, game graphics, tiles and any kind of pixel art you want, Pixelorama has you covered with its variety of tools and features. Free to use for everyone, forever. A variety of different tools to help you draw, with the ability to map a different tool in each left and right mouse buttons. Are you an animator? Pixelorama has its own...
    Downloads: 46 This Week
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  • 11
    JSON_REPAIR

    JSON_REPAIR

    A python module to repair invalid JSON from LLMs

    json_repair is an open-source Python library designed to automatically fix malformed JSON data and convert it into valid, parseable structures. The tool is particularly useful in scenarios where JSON output is generated by large language models or external services that may produce syntactically invalid responses. Instead of failing when encountering errors such as missing quotes, trailing commas, or incomplete objects, the library analyzes the malformed data and reconstructs it into valid...
    Downloads: 6 This Week
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  • 12
    NautilusTrader

    NautilusTrader

    A high-performance algorithmic trading platform

    NautilusTrader is an open-source, high-performance, production-grade algorithmic trading platform, provides quantitative traders with the ability to backtest portfolios of automated trading strategies on historical data with an event-driven engine, and also deploy those same strategies live, with no code changes. The platform is 'AI-first', designed to develop and deploy algorithmic trading strategies within a highly performant and robust Python native environment. This helps to address the...
    Downloads: 19 This Week
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  • 13
    SWE-agent

    SWE-agent

    SWE-agent takes a GitHub issue and tries to automatically fix it

    SWE-agent turns LMs (e.g. GPT-4) into software engineering agents that can resolve issues in real GitHub repositories. On the SWE-bench, the SWE-agent resolves 12.47% of issues, achieving state-of-the-art performance on the full test set. We accomplish our results by designing simple LM-centric commands and feedback formats to make it easier for the LM to browse the repository, and view, edit, and execute code files. We call this an Agent-Computer Interface (ACI).
    Downloads: 4 This Week
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  • 14
    pywinauto

    pywinauto

    Windows GUI Automation with Python (based on text properties)

    pywinauto is a set of Python modules to automate the Microsoft Windows GUI. At its simplest it allows you to send mouse and keyboard actions to Windows dialogs and controls, but it has support for more complex actions like getting text data.
    Downloads: 0 This Week
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  • 15
    Django Cachalot

    Django Cachalot

    No effort, no worry, maximum performance

    ...Note: an upper limit on Django version is set for your safety. Please do not ignore it. To start developing, install the requirements and run the tests via tox. Currently, benchmarks are supported on Linux and Mac/Darwin. You will need a database called "cachalot" on MySQL and PostgreSQL. Additionally, on PostgreSQL, you will need to create a role called "cachalot." You can also run the benchmark, and it'll raise errors with specific instructions for how to fix it. Use cachalot for cold or modified <50 times per minutes (Most people should stick with only cachalot since you most likely won't need to scale to the point of needing cache-machine added to the bowl).
    Downloads: 3 This Week
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  • 16
    Agentless

    Agentless

    An agentless approach to automatically solve software development

    Agentless is an open-source framework that applies large language models to automatically resolve software development issues without relying on complex autonomous agent systems. The project proposes an alternative approach to AI-driven code repair that avoids the overhead of multi-agent orchestration by using a structured pipeline for identifying and fixing bugs. When solving a problem, the system first performs localization to determine which files, functions, or code segments are most...
    Downloads: 4 This Week
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  • 17
    LLM-Aided OCR Project

    LLM-Aided OCR Project

    Enhances Tesseract OCR output using LLMs (local or API)

    LLM Aided OCR is an open-source system designed to improve optical character recognition accuracy by combining traditional OCR tools with large language models. The project addresses common OCR challenges such as distorted text, unusual fonts, historical documents, and complex layouts that often produce inaccurate results with standard OCR pipelines. The system first extracts raw text using OCR engines and then applies language models to analyze and correct recognition errors based on...
    Downloads: 4 This Week
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  • 18
    Textual

    Textual

    Textual is a TUI (Text User Interface) framework for Python

    Textual is a Python framework for creating interactive applications that run in your terminal. Textual adds interactivity to Rich with a Python API inspired by modern web development. On modern terminal software (installed by default on most systems), Textual apps can use 16.7 million colors with mouse support and smooth flicker-free animation. A powerful layout engine and re-usable components makes it possible to build apps that rival the desktop and web experience. Textual runs on Linux,...
    Downloads: 5 This Week
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  • 19
    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: 2 This Week
    Last Update:
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  • 20
    NeMo Curator

    NeMo Curator

    Scalable data pre processing and curation toolkit for LLMs

    NeMo Curator is a Python library specifically designed for fast and scalable dataset preparation and curation for large language model (LLM) use-cases such as foundation model pretraining, domain-adaptive pretraining (DAPT), supervised fine-tuning (SFT) and paramter-efficient fine-tuning (PEFT). It greatly accelerates data curation by leveraging GPUs with Dask and RAPIDS, resulting in significant time savings. The library provides a customizable and modular interface, simplifying pipeline...
    Downloads: 0 This Week
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  • 21
    Sentry

    Sentry

    Cross-platform application monitoring and error tracking software

    Sentry is a cross-platform, self-hosted error monitoring solution that helps software teams discover, monitor and fix errors in real-time. The most users and logs will have to provide are the clues, and Sentry provides the answers. Sentry offers enhanced application performance monitoring through information-laden stack traces. It lets you build better software faster and more efficiently by showing you all issues in one place and providing the trail of events that lead to errors. It also...
    Downloads: 2 This Week
    Last Update:
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  • 22
    YAPF

    YAPF

    A formatter for Python files

    YAPF is a Python code formatter that automatically rewrites source to match a chosen style, using a clang-format–inspired algorithm to search for the “best” layout under your rules. Instead of relying on a fixed set of heuristics, it explores formatting decisions and chooses the lowest-cost result, aiming to produce code a human would write when following a style guide. You can run it as a command-line tool or call it as a library via FormatCode / FormatFile, making it easy to embed in...
    Downloads: 1 This Week
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  • 23
    Yahoo! Finance market data downloader

    Yahoo! Finance market data downloader

    Yahoo! Finance market data downloader

    Ever since Yahoo! finance decommissioned their historical data API, many programs that relied on it to stop working. yfinance aims to solve this problem by offering a reliable, threaded, and Pythonic way to download historical market data from Yahoo! finance. yfinance aimed to offer a temporary fix to the problem by scraping the data from Yahoo! Finance and returning a the data in the same format as pandas_datareader's get_data_yahoo(), thus keeping the code changes in existing software to a...
    Downloads: 0 This Week
    Last Update:
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  • 24
    OSS-Fuzz Gen

    OSS-Fuzz Gen

    LLM powered fuzzing via OSS-Fuzz

    OSS-Fuzz-Gen is a companion project that helps automatically create or improve fuzz targets for open-source codebases, aiming to increase coverage in OSS-Fuzz with minimal maintainer effort. It analyses a library’s APIs, examples, and tests to propose harnesses that exercise parsers, decoders, or protocol handlers—precisely the code where fuzzing pays off. The system integrates with modern LLM-assisted workflows to draft harness code and then iterates based on build errors or low coverage...
    Downloads: 0 This Week
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  • 25
    Pytorch-toolbelt

    Pytorch-toolbelt

    PyTorch extensions for fast R&D prototyping and Kaggle farming

    A pytorch-toolbelt is a Python library with a set of bells and whistles for PyTorch for fast R&D prototyping and Kaggle farming. Easy model building using flexible encoder-decoder architecture. Modules: CoordConv, SCSE, Hypercolumn, Depthwise separable convolution and more. GPU-friendly test-time augmentation TTA for segmentation and classification. GPU-friendly inference on huge (5000x5000) images. Every-day common routines (fix/restore random seed, filesystem utils, metrics). Losses:...
    Downloads: 0 This Week
    Last Update:
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