Python open source project weekly ranking 2023 week 35

# Week 35, 2023 October 3, 2023
1 vizro A toolkit for creating modular data visualization applications. Quickly assemble custom dashboards on your own in minutes—no advanced coding or design experience required—to create flexible and scalable, Python-enabled data visualization applications. Use a few lines of simple configuration to create complex dashboards, which are automatically assembled using libraries like Plotly and Dash, with built-in coding and design best practices. Define advanced categories in configuration, including: Components: Create charts, Controls such as tables, input/output interfaces: Create filters, parameter inputs and custom actions Controller pages, layout and navigation: Create multiple pages with customizable layouts and flexible navigation across pages Actions and interactions: Create charts Interaction between and using predefined or custom operations (such as export) Configurations can be written in a variety of formats, including Pydantic models, JSON, YAML, or Python dictionaries, to increase implementation flexibility Optional high-code extensions allow Modular approach for nearly unlimited customization, combining the best of low-code and high-code - for flexible, scalable, Python-enabled data visualization applications
2 LIDA A library for generating data visualizations and data-faithful infographics. LIDA is syntax-agnostic (works with any programming language and visualization library, such as matplotlib, seaborn, altair, d3, etc.) and works with several large language model vendors (OpenAI, PaLM, Cohere, Huggingface).
3 vue-big-screen A "data big screen project" based on the Vue, Datav, and Echart frameworks. Data is dynamically refreshed and rendered through Vue components, and internal charts can be freely replaced. Some charts use DataV's own components and can be changed.
4 openpilot The first open source assisted driving system based on end-to-end (Perception to Planning). A relatively mature open source project for L2 assisted driving functions, which implements ACC, LKA, DMS and other assisted driving functions based on the end-to-end model. At present, it has been sold to consumers and can be adapted to a variety of models. You can experience the assisted driving function by simply installing it on your car.
5 dreamgaussian Utilize 3D Gaussian Splatting technology to generate 3D models from text or a single 2D image in just 2 minutes. Existing 3D content generation methods often take a long time to generate high-quality 3D models. This is mainly because these methods rely on complex rendering and optimization processes. DreamGaussian solves this problem by using a new technology called 3D Gaussian Splatting. This method is able to generate high-quality 3D models from single-view images in minutes. It includes a texture refinement stage that further optimizes the generated 3D model to make its texture more realistic. Features of Fooocus: Ease of use: It can be easily used after decompression, without complex environment configuration. Powerful functions: You can have multiple image settings, picture number settings, reverse prompt words and random factors. There are also hundreds of styles for everyone to choose from in the style configuration. Applicable to a wide range of people: Whether you are a professional or a novice in AI painting, you can easily get started.
6 Fooocus An image generation software that rethinks the design concepts of Stable Diffusion and Midjourney. Drawing on the ideas of Stable Diffusion, Fooocus is an offline, open source, free software; and from Midjourney, it abandons tedious manual adjustments, allowing users to only focus on prompts and image generation. It can be called a Metadrone alternative. Its author, Ilias Avil, is also the original author of stable diffusion control net. He used his experience in optimizing performance to successfully optimize the calculation process of SDXL so that mid- to low-end graphics cards can run efficiently. He did not pursue large and comprehensive functions, but made a lot of performance optimization and improvements with a built-in comfyUI, leaving the user with an extremely simple interface. In addition to inputting prompt words and selecting models, There is almost no need to make any other settings, all settings are optimized by the author. In short, he put a deeply optimized minimalist version of the shell outside comfyUI.
7 Ultimate Vocal Remover Ceiling-level vocal accompaniment extraction artifact, an open source vocal separation software, uses the most advanced sound source separation model to remove vocals from audio files. The installer is about 3.5G in size and is suitable for Windows 10 or higher. It can also be installed and run on Mac and Linux, but some functions may not be available.
8 norfair A lightweight and customizable Python library for real-time object tracking: it can assign a unique ID to each detected object in different frames. , this way you can identify these objects even if they are moving and can easily be inserted into complex video processing pipelines to add tracking to existing projects. At the same time, it is possible to build a video inference loop from scratch using only Norfair and detectors.
9 PayloadsAllTheThings List of useful payloads and bypasses regarding web application security.
10 fishdraw This project is used to randomly generate a fish. This fish is particularly weird. This project does not rely on any library and supports svg, json, csv and other formats.


 

Category: Python open source project weekly rankingTags: Visualization Assisted Driving Image AIGC



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Origin blog.csdn.net/cbbxn/article/details/133610183