Top Github Projects of 06/23/2023: The Most Popular Repositories on the Rise Today

Projects that have already appeared in previous Github ranking lists will not display details, please refer to previous lists for information.

Rank #1 sveltejs/svelte
https://github.com/sveltejs/svelte
Cybernetically enhanced web apps
Language: JavaScript
Stars: 68,908(38 stars today) Forks:3,422
Svelte is a JavaScript compiler that is used to build web applications efficiently. It converts the declarative components into JavaScript that can update the DOM effectively. Svelte offers a new way to develop web applications by reducing the bundle size and improving the app’s performance. The project is licensed under MIT and is developed by volunteers. Svelte can be used in various fields that require building web applications, including e-commerce, social networking, healthcare, education, and many more. The project is maintained and improved continuously, and its roadmap can be viewed on the Svelte website. Svelte supports contributions, and developers can help by picking an issue and submitting pull request. The project can be installed locally by cloning the repository and running the commands mentioned in the development section. Overall, Svelte is a useful tool for developing fast and efficient web applications.
— — — — — — — — — — — — — — — —

Rank #2 a16z-infra/ai-getting-started
https://github.com/a16z-infra/ai-getting-started
A Javascript AI getting started stack for weekend projects, including image/text models, vector stores, auth, and deployment configs
Language: TypeScript
Stars: 1,165(567 stars today) Forks:117
The AI Getting Started project is a full-stack web application that showcases a variety of AI models and technologies. It utilizes a range of technologies such as Next.js for app logic, Langchain.js for orchestration, Replicate and OpenAI for text and image models respectively, and Pinecone or Supabase pgvector for VectorDB. By following the quickstart guide, users can clone the repository, install dependencies, and fill out secrets to launch the application locally. This project has potential applications in various fields such as natural language processing, computer vision, and machine learning. Commercially, it could be used as a tool for developers and researchers to explore and experiment with the latest AI technologies and models.
— — — — — — — — — — — — — — — —

Rank #3 vllm-project/vllm
https://github.com/vllm-project/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
Language: Python
Stars: 1,752(358 stars today) Forks:93
vLLM is a library for language model (LLM) inference and serving, designed to be fast, efficient, and accessible to everyone. It offers state-of-the-art serving throughput, dynamic batching, and optimized CUDA kernels, making it an ideal choice for applications where speed and efficiency are critical. vLLM is also flexible and easy to use, with seamless integration with popular HuggingFace models and support for various decoding algorithms like parallel sampling, beam search, etc. It can be applied in various fields, including NLP, chatbots, virtual assistants, and more. One of its primary commercial applications is in developing AI-powered chatbots and virtual assistants that require quick responses to user input. The standard version of vLLM is available for download from the project’s website, and users can choose to build it from source if they need additional customizations.
— — — — — — — — — — — — — — — —

Rank #4 figma/plugin-samples
https://github.com/figma/plugin-samples
🔌 Sample Figma plugins.
Language: TypeScript
Stars: 950(34 stars today) Forks:238
This project is called Figma FigJam Plugin Samples and consists of sample plugins that use the Figma FigJam Plugin API, allowing developers to extend the functionality of Figma and FigJam. These plugins are written in TypeScript, taking advantage of Figma’s typed plugin API. The project provides resources for developers to make feature requests, file bug reports, and ask questions about plugin development. These samples can be applied in various fields, including graphic design, UI/UX design, and web development, among others. As for commercial applications, these plugins can be used to optimize workflows, automate certain tasks, and enhance the overall Figma and FigJam experience for users.
— — — — — — — — — — — — — — — —

Rank #5 google/googletest
https://github.com/google/googletest
GoogleTest — Google Testing and Mocking Framework
Language: C++
Stars: 29,987(69 stars today) Forks:9,517
— — — — — — — — — — — — — — — —

Rank #6 OpenDriveLab/UniAD
https://github.com/OpenDriveLab/UniAD
[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving
Language: Python
Stars: 1,083(111 stars today) Forks:87
The Planning-oriented Autonomous Driving project is a unified autonomous driving algorithm framework that adopts a planning-oriented philosophy for autonomous vehicles. The framework includes a series of hierarchical tasks, such as perception, prediction, and planning, instead of the traditional modular and multi-task learning approaches. The project achieves state-of-the-art performance in all its tasks, especially in prediction and planning with an average collision rate of 0.31% and minimum displacement error of 0.71m minADE. The project can have applications in various fields, including transportation, logistics, and robotics. The commercial applications can be in the development of autonomous vehicles for public and private transportation.
— — — — — — — — — — — — — — — —

Rank #7 csunny/DB-GPT
https://github.com/csunny/DB-GPT
Revolutionizing Database Interactions with Private LLM Technology
Language: Python
Stars: 4,638(276 stars today) Forks:654
— — — — — — — — — — — — — — — —

Rank #8 s0md3v/sd-webui-roop
https://github.com/s0md3v/sd-webui-roop
roop extension for StableDiffusion web-ui
Language: Python
Stars: 517(107 stars today) Forks:117
— — — — — — — — — — — — — — — —

Rank #9 devfullcycle/imersao13
https://github.com/devfullcycle/imersao13

Language: TypeScript
Stars: 115(41 stars today) Forks:30
— — — — — — — — — — — — — — — —

Rank #10 codecrafters-io/build-your-own-x
https://github.com/codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
Language:
Stars: Star(180 stars today) Forks:20,059
— — — — — — — — — — — — — — — —

Rank #11 Jessecar96/SteamDesktopAuthenticator
https://github.com/Jessecar96/SteamDesktopAuthenticator
Desktop implementation of Steam’s mobile authenticator app
Language: C#
Stars: 2,562(71 stars today) Forks:564
— — — — — — — — — — — — — — — —

Rank #12 ossu/computer-science
https://github.com/ossu/computer-science
🎓 Path to a free self-taught education in Computer Science!
Language:
Stars: Star(224 stars today) Forks:18,217
— — — — — — — — — — — — — — — —

Rank #13 TodePond/DreamBerd
https://github.com/TodePond/DreamBerd
perfect programming language
Language:
Stars: Star(287 stars today) Forks:70
DreamBerd is a programming language that boasts unique and unorthodox features. Its syntax is characterized by the exclamation mark and semi-colon usage, which replaces the traditional not operator. The language has four types of declaration, including constant constants, constant variables, variable constants, and variable variables. DreamBerd also includes the `const const const` keyword for making immutable data to promote cleaner coding practices. The program can be applied in several fields, including web development, data science, artificial intelligence, and more. However, its intricate nature makes it more suitable for experimental purposes rather than commercial applications. The Future of Code podcast recently featured this project. Interested parties can check out the repository’s examples page to see how DreamBerd works.
— — — — — — — — — — — — — — — —

Rank #14 SkalskiP/top-cvpr-2023-papers
https://github.com/SkalskiP/top-cvpr-2023-papers
This repository is a curated collection of the most exciting and influential CVPR 2023 papers. 🔥 [Paper + Code]
Language: Python
Stars: 147(21 stars today) Forks:18
The Top CVPR 2023 Papers project is a curated collection of the most exciting and influential papers submitted and accepted at the Computer Vision and Pattern Recognition (CVPR) conference in 2023. With over 9,000 papers submitted, only 2,359 were accepted, and this project presents a selection of the most notable ones worth taking a closer look at. The project features titles, repositories, and arXiv links for each paper, making it easy for developers and researchers to explore the latest advances in computer vision and pattern recognition. This project can be applied in various fields, such as autonomous vehicles, medical imaging, robotics, and security systems. Its commercial applications can range from improving object detection and recognition to enhancing image and video processing systems.
— — — — — — — — — — — — — — — —

Rank #15 serverless-stack/sst
https://github.com/serverless-stack/sst
💥 SST makes it easy to build full-stack serverless apps.
Language: TypeScript
Stars: 16,479(234 stars today) Forks:1,408
— — — — — — — — — — — — — — — —

Rank #16 scikit-learn/scikit-learn
https://github.com/scikit-learn/scikit-learn
scikit-learn: machine learning in Python
Language: Python
Stars: 54,710(17 stars today) Forks:24,360
This project is scikit-learn, a machine learning library for the Python programming language. It provides a wide variety of tools and algorithms for tasks such as classification, regression, and clustering, and can be applied in fields such as data science, computer vision, and natural language processing. Commercial applications include predictive modeling, anomaly detection, and recommendation systems. The project is actively maintained and has a large and supportive community, making it a popular choice for machine learning projects of all sizes and scopes.
— — — — — — — — — — — — — — — —

Rank #17 angular/angular
https://github.com/angular/angular
The modern web developer’s platform
Language: TypeScript
Stars: 88,772(34 stars today) Forks:23,771
— — — — — — — — — — — — — — — —

Rank #18 AUTOMATIC1111/stable-diffusion-webui
https://github.com/AUTOMATIC1111/stable-diffusion-webui
Stable Diffusion web UI
Language: Python
Stars: 85,745(280 stars today) Forks:16,625
— — — — — — — — — — — — — — — —

Rank #19 eslint/eslint
https://github.com/eslint/eslint
Find and fix problems in your JavaScript code.
Language: JavaScript
Stars: 22,870(7 stars today) Forks:4,273
ESLint is a popular tool used for identifying and reporting on patterns found in ECMAScript/JavaScript code. It is similar to JSLint and JSHint, with the exception that it uses an abstract syntax tree (AST) to evaluate patterns in code. It is also completely pluggable, with every single rule being a plugin. This means you can add more rules at runtime, making it highly customizable. The project can be applied in a wide range of fields, including web development, app development, and software engineering. Commercial applications include improving code quality, identifying patterns and potential bugs in code, and improving overall productivity. The project is actively maintained and has a vibrant community, making it a reliable and robust tool for developers.
— — — — — — — — — — — — — — — —

Rank #20 loft-sh/devpod
https://github.com/loft-sh/devpod
Spin up dev environments in any infra. Dev-environments-as-code like Terraform but for dev environments. Like Codespaces but open-source, client-only and unopinionated: Works with any IDE and lets you use any cloud, kubernetes or just on localhost docker.
Language: Go
Stars: 1,996(132 stars today) Forks:55
DevPod is a client-only tool that creates reproducible developer environments based on a devcontainer.json on any backend. Each developer environment runs in a container and is specified through a devcontainer.json. Through DevPod providers, these environments can be created on any backend, such as the local computer, a Kubernetes cluster, any reachable remote machine, or in a VM in the cloud. DevPod can be used in a wide variety of fields, including software development, web development, and data science. Commercial applications include more efficient collaboration between developers, faster development times, and easier management of development environments.
— — — — — — — — — — — — — — — —

Rank #21 nodejs/node
https://github.com/nodejs/node
Node.js JavaScript runtime ✨🐢🚀✨
Language: JavaScript
Stars: 96,094(23 stars today) Forks:26,159
Node.js is a cross-platform, open-source JavaScript runtime environment that can be used in a variety of fields, including web and network applications, server-side development, and internet of things (IoT) devices. Node.js is governed by an open governance model, and its development is supported by the OpenJS Foundation. Node.js has both current and LTS (long term support) releases, with major releases occurring every 6 months. Commercial applications of Node.js include web and mobile application development, real-time communication, and cloud infrastructure management. Node.js is a powerful tool for developers looking to write scalable, high-performance code with the flexibility of JavaScript.
— — — — — — — — — — — — — — — —

Rank #22 edtechre/pybroker
https://github.com/edtechre/pybroker
Algorithmic Trading in Python with Machine Learning
Language: Python
Stars: 970(10 stars today) Forks:106
PyBroker is a Python framework designed for developing algorithmic trading strategies that leverage the power of machine learning. It offers a fast backtesting engine built in NumPy and accelerated with Numba, as well as the ability to create and execute trading rules and models across multiple instruments. PyBroker enables access to historical data from various providers, including Alpaca and Yahoo Finance, and allows for the use of Walkforward Analysis to simulate how the strategy would perform during actual trading. It also provides faster performance through parallelized computations and caching of downloaded data, indicators, and models. PyBroker can be applied in a variety of fields, including finance, banking, and investment. Its commercial applications include automated trading, risk management, and portfolio optimization.
— — — — — — — — — — — — — — — —

Rank #23 veler/DevToys
https://github.com/veler/DevToys
A Swiss Army knife for developers.
Language: C#
Stars: 15,067(82 stars today) Forks:812
DevToys is a versatile tool for developers that helps with daily development tasks such as formatting JSON, comparing text, and testing regular expressions. It offers many tools, including converters, encoders/decoders, generators, text editors, and validators. DevToys can be used in a variety of fields, including web development, software development, and data analysis. Its commercial applications include improving productivity, enhancing data analysis, and streamlining software development processes.
— — — — — — — — — — — — — — — —

Rank #24 geohot/tinygrad
https://github.com/geohot/tinygrad
You like pytorch? You like micrograd? You love tinygrad! ❤️
Language: Python
Stars: 15,118(790 stars today) Forks:1,596
— — — — — — — — — — — — — — — —

Rank #25 terraform-aws-modules/terraform-aws-eks
https://github.com/terraform-aws-modules/terraform-aws-eks
Terraform module to create an Elastic Kubernetes (EKS) cluster and associated resources 🇺🇦
Language: HCL
Stars: 3,601(12 stars today) Forks:3,609
— — — — — — — — — — — — — — — —