GitHub Trends
前往频道在 Telegram
See what the GitHub community is most excited about today. A bot automatically fetches new repositories from https://github.com/trending and sends them to the channel. Author and maintainer: https://github.com/katursis
显示更多未指定国家技术与应用10 457
📈 Telegram 频道 GitHub Trends 的分析概览
频道 GitHub Trends (@githubtrending) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 11 921 名订阅者,在 技术与应用 类别中位列第 10 457。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 11 921 名订阅者。
根据 04 十一月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 225,过去 24 小时变化为 7,整体触达仍然可观。
- 认证状态: 未认证
- 互动率 (ER): 平均受众互动率为 6.10%。内容发布后 24 小时内通常能获得 N/A% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 0 次浏览,首日通常累积 0 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 0。
- 主题关注点: 内容集中在 linux, workflow, setup, claude, command 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台:
“See what the GitHub community is most excited about today.
A bot automatically fetches new repositories from https://github.com/trending and sends them to the channel.
Author and maintainer: https://github.com/katursis”
凭借高频更新(最新数据采集于 05 十一月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。
11 921
订阅者
+724 小时
+527 天
+22530 天
帖子存档
11 921
#css #angular #charts #components #datagrid #datatable #mit #typescript #ui
PrimeNG is a useful tool for developers. You can check its latest version and download statistics on npm. It also has a continuous integration process to ensure it works well. If you have questions, you can join the Discord chat or participate in GitHub discussions. The PrimeNG website offers demos and detailed documentation to help you get started easily. This makes it easier for you to use PrimeNG effectively and stay updated with the community.
https://github.com/primefaces/primeng
11 921
#java #data_catalog #data_discovery #data_governance #datahub #metadata
DataHub is a free, open-source platform that helps you find and understand your data. It acts like a catalog for all your data, making it easier to discover, manage, and use. Built by Acryl Data and LinkedIn, DataHub supports modern data stacks and offers features like real-time metadata graphs, integration with various tools, and a user-friendly interface. You can try it out with a hosted demo or follow the quickstart guide to set it up locally. Joining the community through Slack or attending town hall meetings can also help you stay updated and connected with other users. This tool is beneficial because it simplifies data management, enhances collaboration, and improves overall data visibility within your organization.
https://github.com/datahub-project/datahub
11 921
#csharp #dotnet #hacktoberfest #help_wanted
The .NET Runtime repository contains the code for building the .NET runtime, libraries, and installers for various platforms. This project allows you to contribute by reporting issues, testing nightly builds, and even fixing bugs. You can learn how to use .NET through tutorials and documentation, and there are resources for deploying apps and getting support. Reporting security issues is also straightforward through a private email process. The project is open-source under the MIT license, making it free to use and modify. By participating, you can help improve .NET and be part of a global community of developers.
https://github.com/dotnet/runtime
11 921
#go #containers #event_driven #kubernetes #microservice #microservices #pubsub #serverless #sidecar #state_management
Dapr is a tool that helps developers build strong, scalable, and reliable microservices easily. It works with any programming language and framework, making it very flexible. Dapr adds a small side-car to your application that handles complex tasks like state management, messaging, and event triggers, so you don't have to worry about these details. This means you can focus on writing your code without getting bogged down in low-level details. Dapr also runs on various platforms, including cloud, edge devices, and local machines, making it very versatile. Overall, Dapr simplifies building distributed applications and makes them more consistent and portable.
https://github.com/dapr/dapr
11 921
#python #build_tools #hpc #hpsf #linux #macos #package_manager #python #radiuss #scientific_computing #spack
Spack is a tool that helps you install and manage different versions of software on your computer. It works on many operating systems like Linux, macOS, and Windows, and even on supercomputers. The best part is that it doesn't break existing installations, so you can have multiple versions of the same software running at the same time. Spack uses a simple syntax to specify what you want to install, and it's easy to contribute to the project if you want to add new features or packages. This makes it very flexible and useful for managing complex software setups.
https://github.com/spack/spack
11 921
#typescript #animation #animation_js #motion #react #reactanimations #spring
Motion is a free and open-source library that helps you create animations in JavaScript and React. It combines the power of JavaScript animations with the performance of native browser APIs, making your animations smooth and efficient. You can easily install it using `npm install motion` and start animating elements with simple code. For example, in JavaScript, you can animate an element by using `animate("#box", { x 100 }} />`. This makes it easy to add dynamic and engaging animations to your web projects, enhancing the user experience.
https://github.com/motiondivision/motion
11 921
#go
Lazydocker is a simple terminal UI for managing Docker and Docker Compose. It helps you manage your containers and services in one window, making it easier to view logs, metrics, and perform common tasks like restarting or removing containers. You can install it using Homebrew, Scoop, Chocolatey, or by downloading a binary release. The tool simplifies managing multiple terminal windows and memorizing Docker commands, allowing you to focus on your work with keybindings and custom commands at your fingertips. This makes your development process faster and more efficient.
https://github.com/jesseduffield/lazydocker
11 921
#typescript #design_systems #material_design #react #react_components
Material UI is a powerful library of React components that follows Google's Material Design system. It has been developed and tested by thousands of contributors over more than a decade, making it reliable and trustworthy. This library helps you build user interfaces quickly and consistently, with a wide range of pre-built components. It also has extensions like MUI X for advanced use cases and Toolpad for building full-stack applications. Using Material UI benefits you by providing a well-tested and maintained set of components, saving you time and effort in developing your projects.
https://github.com/mui/material-ui
11 921
#powershell #dotnet #dotnet_core
The .NET release notes provide important information about different versions of .NET, such as their release dates, support status, and end-of-support dates. For example, .NET 9 will be released on November 12, 2024, and will be supported until May 12, 2026. You can also find the latest patch versions for each release. This information helps users plan and manage their projects by knowing when to update or switch to a new version, ensuring they have the latest security patches and features. Additionally, you can follow GitHub discussions for the latest news and updates on .NET releases.
https://github.com/dotnet/core
11 921
#typescript
The es-toolkit is a powerful and efficient JavaScript library that provides many useful functions like debounce, delay, chunk, sum, and pick. It is designed for high performance and has a very small bundle size, reducing your JavaScript code by up to 97%. The library also supports TypeScript with strong type annotations and is thoroughly tested for reliability. Using es-toolkit can make your coding faster and more efficient, helping you write cleaner and more performant code.
https://github.com/toss/es-toolkit
11 921
#python #ai4science #document_analysis #extract_data #layout_analysis #ocr #parser #pdf #pdf_converter #pdf_extractor_llm #pdf_extractor_pretrain #pdf_extractor_rag #pdf_parser #python
MinerU is a tool that converts PDFs into machine-readable formats like markdown or JSON. Here are the key benefits and features MinerU removes headers, footers, and other unnecessary elements to ensure the text is semantically coherent and in human-readable order, even for complex layouts.
- **Structure Preservation** It extracts images, image descriptions, tables, and table titles.
- **Formula Conversion** Recognizes tables and converts them to LaTeX or HTML format.
- **OCR Support** Supports multiple output formats and various visualization results.
- **GPU and CPU Compatibility**: Works on both CPU and GPU environments, compatible with Windows, Linux, and Mac.
You can try MinerU through an online demo, a quick CPU demo, or by using a GPU for faster processing. For detailed usage, refer to the command line options, API integration, and deployment guides provided.
https://github.com/opendatalab/MinerU
11 921
#python #botsort #bytetrack #deep_learning #deepocsort #improvedassociation #mot #mots #multi_object_tracking #multi_object_tracking_segmentation #ocsort #osnet #segmentation #strongsort #tensorrt #tracking_by_detection #yolo
BoxMOT is a tool that helps track multiple objects in videos or images using advanced models. It offers various tracking methods that work well on different types of hardware, from CPUs to powerful GPUs. This means you can use it even if your computer is not very powerful. BoxMOT also saves time by allowing you to reuse pre-generated data, so you don't have to repeat calculations every time. You can easily install and use it with popular object detection models like YOLOv8, YOLOv9, and YOLOv10, and it supports tracking different types of data such as bounding boxes, segmentation masks, and pose estimations. This makes it very flexible and useful for various tasks involving object tracking.
https://github.com/mikel-brostrom/boxmot
11 921
#cplusplus
This project uses an ESP32 device with a camera to digitize your analog meters, such as water, gas, or electricity meters, using artificial intelligence. You need a low-cost ESP32 board with a camera and some basic technical skills. The device takes photos of the meter, extracts the relevant information using AI, and then sends the data via MQTT, InfluxDB, or a REST API. It also has a web interface for administration and can be updated over the air. This setup makes your old meters smart and automated, saving you time and effort in monitoring your utility usage.
https://github.com/jomjol/AI-on-the-edge-device
11 921
#typescript #hacktoberfest #maplibre #maplibre_gl #maplibre_gl_js #typescript #webgl2
MapLibre GL JS is a free and open-source library that helps you display maps on your website or app quickly. It uses GPU-accelerated vector tile rendering, making it fast. You can easily add it to your HTML file by including the necessary JavaScript and CSS files. This library is a continuation of the open-source version of Mapbox GL JS and offers various features like displaying 3D buildings, heatmaps, and more. It also has detailed documentation and examples to help you get started. Using MapLibre GL JS benefits you by providing a powerful, community-supported mapping solution without the need for proprietary licenses.
https://github.com/maplibre/maplibre-gl-js
11 921
#python
This text provides a comprehensive guide to learning Python and related technologies over a 100-day period. Here are the key points and benefits The guide starts with basic Python programming, covering topics like data types, functions, modules, and object-oriented programming.
- **Advanced Topics** The guide includes practical projects like web scraping, network programming, and team project development.
- **Tools and Technologies** There is a focus on performance optimization, including database tuning, caching, and load balancing.
- **Deployment** Users get a comprehensive learning path from beginner to advanced levels in Python.
- **Practical Skills** It covers a wide range of applications, including web development, data analysis, machine learning, and more.
- **Best Practices** The guide prepares users for various career paths such as backend development, data science, machine learning, and more.
Overall, this resource is beneficial for anyone looking to master Python and related technologies through a structured and practical learning approach.
https://github.com/jackfrued/Python-100-Days
11 921
#other #books #cs #hacktoberfest #links #programmer #sites
This resource is a comprehensive list of useful websites and tools for programmers, covering various aspects of programming and career development. Here are the key benefits It includes links to websites for learning programming languages, such as freeCodeCamp, Codecademy, and MOOCs from platforms like Coursera and edX.
- **Coding Practice** Links to tech news sites like TechCrunch, Ars Technica, and magazines such as MIT Technology Review help you stay updated on the latest tech trends.
- **Tools and Utilities** Websites and resources like GeeksforGeeks, Pramp, and Tech Interview Handbook are available to help prepare for technical interviews.
- **Community and Blogs** Job boards and internship platforms like Indeed, Glassdoor, and Internshala assist in finding job opportunities.
Overall, this collection provides a one-stop resource for programmers to improve their skills, stay updated with industry news, and advance their careers.
https://github.com/sdmg15/Best-websites-a-programmer-should-visit
11 921
#python #hints #json_schema #parsing #pydantic #python #python310 #python311 #python312 #python37 #python38 #python39 #validation
Pydantic is a tool that helps you check if your data is correct using Python type hints. It's fast, easy to use, and works well with your coding tools. You can define how your data should look in simple Python code and then use Pydantic to validate it. This makes sure your data is consistent and accurate, which is very beneficial for keeping your programs stable and reliable. You can install it easily using `pip install -U pydantic` or `conda install pydantic -c conda-forge`.
https://github.com/pydantic/pydantic
11 921
#python #awesome #collections #python #python_framework #python_library #python_resources
This list provides a comprehensive collection of Python libraries, frameworks, and tools organized by category. Here’s the most important information and the benefit to the user**
- **Admin Panels** Libraries such as `pandas` and `scikit-learn` offer powerful tools for data manipulation and analysis, enhancing productivity in data science tasks.
- **Web Development** Libraries like `TensorFlow`, `PyTorch`, and `scikit-learn` enable users to build and deploy machine learning models with ease.
- **Testing** Libraries like `requests` and `FastAPI` simplify interacting with web APIs and building RESTful APIs.
**Benefit to the User:**
These libraries and tools streamline various aspects of Python development, from web development and data analysis to machine learning and testing. They save time, improve productivity, and enhance the overall quality of the code. Whether you're a beginner or an experienced developer, these resources can significantly aid in your projects by providing well-maintained, community-supported solutions for common tasks.
https://github.com/vinta/awesome-python
11 921
#python #ai_translation #dubbing #localization #video_translation #voice_cloning
VideoLingo is a powerful tool that helps translate, localize, and dub videos, making them understandable across different languages. It uses advanced technologies like WhisperX for accurate subtitle recognition and GPT for high-quality translations. The tool ensures single-line subtitles, similar to those on Netflix, and offers dubbing alignment for a more natural viewing experience. You can use it online, in Google Colab, or install it locally on your computer. This makes it easier to share videos globally without language barriers, enhancing global knowledge sharing and communication.
https://github.com/Huanshere/VideoLingo
11 921
#python #docker #docker_container #mac #macos #macos_virtual_machine #macos_vm #macosx #osx #osx_virtual_machine #virtualization
You can run macOS inside a Docker container, which is very useful. Here’s how it helps you You can start macOS in a container using simple commands via Docker Compose or the Docker CLI.
- **Web-Based Viewer** You can choose the version of macOS you want to install, change storage locations, adjust CPU and RAM settings, and even pass-through USB devices.
- **Legal and Open-Source**: The project is legal and open-source, but make sure to use it only on Apple hardware to comply with Apple's terms.
This setup allows you to test, develop, or use macOS without needing a physical Mac, making it convenient for various purposes.
https://github.com/dockur/macos
