Open Source Python User Interface (UI) Software
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Python User Interface (UI) Software
View 122 business solutionsBrowse free open source Python User Interface (UI) Software and projects below. Use the toggles on the left to filter open source Python User Interface (UI) Software by OS, license, language, programming language, and project status.
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Simplify IT and security with a single endpoint management platformNinjaOne automates the hardest parts of IT, delivering visibility, security, and control over all endpoints for more than 20,000 customers. The NinjaOne automated endpoint management platform is proven to increase productivity, reduce security risk, and lower costs for IT teams and managed service providers. The company seamlessly integrates with a wide range of IT and security technologies. NinjaOne is obsessed with customer success and provides free and unlimited onboarding, training, and support.
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A comprehensive software suite for reading barcodes. Supports EAN/UPC, Code 128, Code 39, Interleaved 2 of 5 and QR Code. Includes libraries and applications for decoding captured barcode images and using a video device (eg, webcam) as a barcode scanner.
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PAGE is a drag-and-drop GUI generator for Python and Tkinter which generates Python modules that display a relatively simple GUI constructed from Tk and Ttk widget sets using the Place Geometry Manager. PAGE supports the construction of multiple toplevel GUI's. PAGE is a cross-platform tool running on any OS that has a current version of Python installed. PAGE output requires only Python Tkinter and runs on Linux, Unix, Windows, and even Rasperian. Version 8 is a major release which incorporates initial support of Ttk themes.
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ComfyUI
The most powerful and modular diffusion model GUI, api and backend
The most powerful and modular diffusion model is GUI and backend. This UI will let you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart-based interface. We are a team dedicated to iterating and improving ComfyUI, supporting the ComfyUI ecosystem with tools like node manager, node registry, cli, automated testing, and public documentation. Open source AI models will win in the long run against closed models and we are only at the beginning. Our core mission is to advance and democratize AI tooling. We believe that the future of AI tooling is open-source and community-driven. -
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pythondialog
Python module to build dialogs for terminal-based applications
This is a Python module for doing terminal-based user interaction. It wraps the dialog/Xdialog program, and provides a nice, object-oriented programming model. -
Gen AI apps are built with MongoDB AtlasMongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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WingetUI
A better UI for your package managers
WingetUI is an intuitive, responsive and nice-looking user interface for the most common (command-line) package managers for Windows 10 and Windows 11. With this program, you'll be able to easily download, install, update and uninstall any software that's published on those package managers. The available packages range from well-known software such as browsers, pdf readers and other common programs to other less-known utilities such as vim for windows, which I bet you didn't know it existed. This project has no connection with Winget, Chocolatey or Scoop — it's completely unofficial. Be aware of the fact that neither Microsoft, Chocolatey, Scoop nor the creators of WingetUI are responsible for the downloaded apps. WingetUI has a built-in autoupdater. However, it can also be updated like any other package within WingetUI (since WingetUI is available through Winget and Scoop). -
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Video-subtitle-extractor
A GUI tool for extracting hard-coded subtitle (hardsub) from videos
Video hard subtitle extraction, generate srt file. There is no need to apply for a third-party API, and text recognition can be implemented locally. A deep learning-based video subtitle extraction framework, including subtitle region detection and subtitle content extraction. A GUI tool for extracting hard-coded subtitles (hardsub) from videos and generating srt files. Use local OCR recognition, no need to set up and call any API, and do not need to access online OCR services such as Baidu and Ali to complete text recognition locally. Support GPU acceleration, after GPU acceleration, you can get higher accuracy and faster extraction speed. (CLI version) No need for users to manually set the subtitle area, the project automatically detects the subtitle area through the text detection model. Filter the text in the non-subtitle area and remove the watermark (station logo) text. -
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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 professionally developed and used toolkit, as well as a stable framework and well-documented API, so you can be confident in using it in a commercial product. -
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guiscrcpy
Full fledged GUI integration for the Android screen mirroring system
A simple, pluggable, graphical user interface for the fastest Android screen mirroring software, scrcpy. guiscrcpy is a multiplatform, ready-to-use GUI layer for Android to PC screen mirroring written in the advancing programming language python3 for the most award-winning open-source android screen mirroring system. -
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AUTOMATIC1111 Stable Diffusion web UI
Stable Diffusion web UI
AUTOMATIC1111's stable-diffusion-webui is a powerful, user-friendly web interface built on the Gradio library that allows users to easily interact with Stable Diffusion models for AI-powered image generation. Supporting both text-to-image (txt2img) and image-to-image (img2img) generation, this open-source UI offers a rich feature set including inpainting, outpainting, attention control, and multiple advanced upscaling options. With a flexible installation process across Windows, Linux, and Apple Silicon, plus support for GPUs and CPUs, it caters to a wide range of users—from hobbyists to professionals. The interface also supports prompt editing, batch processing, custom scripts, and many community extensions, making it a highly customizable and continually evolving platform for creative AI art generation. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Tkinter Designer
An easy and fast way to create a Python GUI
Tkinter-Designer is a tool that allows developers to generate Python GUI code using Tkinter directly from Figma designs. By leveraging Figma’s design export capabilities, the tool parses the layout and transforms it into a working Tkinter interface. This helps streamline UI development by bridging the gap between design and code, making it accessible for developers and designers alike. -
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wxCode project is a collection of reusable components based on the cross-platform wxWidgets GUI toolkit. The project provides various tools and facilities for building, maintaining and releasing wxWidgets-based code. Visit the website for more info. Note: As of January 2018 this project has been retired.
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Crazy Eddies GUI System (CEGUI)
A fast, powerful and adaptable GUI solution
Crazy Eddie's GUI (CEGUI) system is a graphical user interface C++ library. It was designed particularly for the needs of videogames, but the library is usable for non-game tasks, such as any other type of applications (rendering/visualisation/virtual reality) and tools. It is designed for user flexibility in look-and-feel, as well as being adaptable to the user's choice in tools and operating systems. Established in 2003, CEGUI sees continual, active development and remains one of the most powerful and most popular options for developers requiring an adaptable and efficient GUI solution. CEGUI is fully supported by the developers that created - and continue to develop - the library, and who are accessible via the project's dedicated internet forums and IRC channel. For more information, more screenshots and for news, check out out our homepage: http://cegui.org.uk The repository is now at bitbucket (including our issue/bug tracker): https://bitbucket.org/cegui -
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youtube-dlG
A cross platform front-end GUI of the popular youtube-dl
A cross platform front-end GUI of the popular youtube-dl media downloader written in wxPython. Youtube-dl-gui uses youtube-dl in the backend to download files. Youtube-dl provides a list of extractors to work with each particular site. You can change the naming pattern by picking a different filename format under the Options>General tab. You can also use a custom pattern by setting the option to "Custom" and editing the output template field. You can change the number of max parallel downloads by editing the "workers_number" option in your settings.json file. You can add extra youtube-dl command line options in the commands box under the Options>Extra tab. You can use your own version of youtube-dl by editing the "youtubedl_path" option in your settings.json file and make it point to your own binary (e.g. /usr/local/bin). -
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easygui
GUI Dialog library for Python with a major goal of simplicity
EasyGUI is a module for very simple, very easy GUI programming in Python. EasyGUI is different from other GUI generators in that EasyGUI is NOT event-driven. Instead, all GUI interactions are invoked by simple function calls. -
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Gradio
Create UIs for your machine learning model in Python in 3 minutes
Gradio is the fastest way to demo your machine learning model with a friendly web interface so that anyone can use it, anywhere! Gradio can be installed with pip. Creating a Gradio interface only requires adding a couple lines of code to your project. You can choose from a variety of interface types to interface your function. Gradio can be embedded in Python notebooks or presented as a webpage. A Gradio interface can automatically generate a public link you can share with colleagues that lets them interact with the model on your computer remotely from their own devices. Once you've created an interface, you can permanently host it on Hugging Face. Hugging Face Spaces will host the interface on its servers and provide you with a link you can share. One of the best ways to share your machine learning model, API, or data science workflow with others is to create an interactive demo that allows your users or colleagues to try out the demo in their browsers. -
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AWX
A web-based user interface built on top of Ansible
AWX provides a web-based user interface, REST API, and task engine built on top of Ansible. It is one of the upstream projects for Red Hat Ansible Automation Platform. Starting in version 18.0, the AWX Operator is the preferred way to install AWX. AWX can also alternatively be installed and run in Docker, but this install path is only recommended for development/test-oriented deployments, and has no official published release. Uses naming and structure consistent with the AWX HTTP API. Provides consistent output formats with optional machine-parsable formats. To the extent possible, auto-detects API versions, available endpoints, and feature support across multiple versions of AWX. Potential uses include configuring and launching jobs/playbooks, checking on the status and output of job runs, and managing objects like organizations, users, teams, etc. -
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Click
Python composable command line interface toolkit
Click is a Python package for creating beautiful command line interfaces in a composable way with as little code as necessary. It’s the “Command Line Interface Creation Kit”. It’s highly configurable but comes with sensible defaults out of the box. It aims to make the process of writing command line tools quick and fun while also preventing any frustration caused by the inability to implement an intended CLI API. Click in three points, arbitrary nesting of commands, automatic help page generation, supports lazy loading of subcommands at runtime. Comes with useful common helpers (getting terminal dimensions, ANSI colors, fetching direct keyboard input, screen clearing, finding config paths, launching apps and editors, etc.). Click actually implements its own parsing of arguments and does not use optparse or argparse following the optparse parsing behavior. Click is designed to be fun and customizable but not overly flexible. -
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pyFLTK
A Python wrapper library for the cross-platform FLTK GUI library.
A Python wrapper library for the cross-platform FLTK GUI library. -
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Dash
Build beautiful web-based analytic apps, no JavaScript required
Dash is a Python framework for building beautiful analytical web applications without any JavaScript. Built on top of Plotly.js, React and Flask, Dash easily achieves what an entire team of designers and engineers normally would. It ties modern UI controls and displays such as dropdown menus, sliders and graphs directly to your analytical Python code, and creates exceptional, interactive analytics apps. Dash apps are very lightweight, requiring only a limited number of lines of Python or R code; and every aesthetic element can be customized and rendered in the web. It’s also not just for dashboards. You have full control over the look and feel of your apps, so you can style them to look any way you want. -
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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. -
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Headscale-WebUI
A simple Headscale web UI for small-scale deployments
A simple Headscale web UI for small-scale deployments. -
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pywebview
Build GUI for your Python program with JavaScript, HTML, and CSS
pywebview is a lightweight cross-platform wrapper around a webview component that allows to display HTML content in its own native GUI window. It gives you power of web technologies in your desktop application, hiding the fact that GUI is browser based. You can use pywebview either with a lightweight web framework like Flask or Bottle or on its own with a two way bridge between Python and DOM. pywebview uses native GUI for creating a web component window: WinForms on Windows, Cocoa on macOS and QT or GTK on Linux. If you choose to freeze your application, pywebview does not bundle a heavy GUI toolkit or web renderer with it keeping the executable size small. pywebview is compatible with Python 3. -
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Ajax+Mobile Java Web framework. With 200+ Ajax components and event-driven, Ajax/RIA apps are as effortless and rich as desktop apps and HTML/XUL pages. Support JSP/JSF/JavaEE/Spring, Ajax Push and Client-fusion; also Java/Groovy/Python/JavaScript.
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PyGObject for Windows
All-In-One PyGI/PyGObject for Windows Installer
Cross-platform python dynamic bindings of GObject-based libraries for Windows 32-bit and 64-bit. -
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SAWS
A supercharged AWS command line interface (CLI)
Although the AWS CLI is a great resource to manage your AWS-powered services, it's tough to remember the usage of 70+ top-level commands, 2000+ subcommand, countless command-specific options, and resources such as instance tags and buckets. SAWS aims to supercharge the AWS CLI with features focusing on improving ease-of-use, and increasing productivity. Under the hood, SAWS is powered by the AWS CLI and supports the same commands and command structure. In addition to the default commands, subcommands, and options the AWS CLI provides, SAWS supports auto-completion of your AWS resources. Currently, bucket names, instance ids, and instance tags are included, with additional support for more resources under development. Sometimes you're not quite sure what specific command/subcommand/option combination you need to use. In such cases, browsing through several combinations with the help command line is cumbersome versus browsing the online AWS CLI docs through a web browser.
