Уже доступно! Исследование Telegram 2025 — ключевые инсайты года 
GitHub Trends
Открыть в 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
БольшеСтрана не указанаТехнологии и приложения11 499
📈 Аналитический обзор Telegram-канала GitHub Trends
Канал GitHub Trends (@githubtrending) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 10 832 подписчиков, занимая 11 499 место в категории Технологии и приложения.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 10 832 подписчиков.
Согласно последним данным от 14 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 222, а за последние 24 часа — 6, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 6.32%. В первые 24 часа после публикации контент обычно набирает 3.15% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 684 просмотров. В течение первых суток публикация набирает 341 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 1.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как linux, workflow, setup, claude, command.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“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”
Благодаря высокой частоте обновлений (последние данные получены 15 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.
10 832
Подписчики
+624 часа
+567 дней
+22230 день
Архив постов
10 832
#python #api #async #crawler #douyin #douyin_api #douyin_scraper #douyin_tiktok_api #douyin_tiktok_download #fastapi #no_watermark #online_parsing #python #pywebio #scraper #spider #tiktok #tiktok_api #tiktok_scraper #tiktok_signature #web_scraping
This tool, called "Douyin_TikTok_Download_API," allows you to easily download videos and data from Douyin (Chinese TikTok), TikTok, and Bilibili without watermarks. Here’s how it benefits you The tool is ready to use out of the box and supports API calls, online batch parsing, and downloading.
- **Versatile** Built with PyWebIO, FastAPI, and HTTPX for fast asynchronous data scraping.
- **Customizable** Provides comprehensive API documentation for easy integration into your projects.
- **iOS Integration**: Supports iOS shortcuts for quick video downloads without watermarks.
Overall, this tool simplifies the process of downloading content from these platforms while offering flexibility and high performance.
https://github.com/Evil0ctal/Douyin_TikTok_Download_API
10 832
#typescript #bpmn #diagram #flow #flowchart #graph #mvvm #visualization
LogicFlow is a powerful tool for creating and editing flowcharts. It offers a user-friendly interface to visualize, create, and manage complex logic flowcharts easily. You can customize nodes, connectors, and styles to fit your specific needs. Additionally, it supports various plugins and allows data conversion with other backend engines like BPMN and Turbo. This flexibility makes it easy to integrate into your business systems without requiring extensive coding knowledge.
The benefit to you is that you can quickly and efficiently create customized flowcharts that meet your business requirements, all while having the option to extend its capabilities with custom plugins and integrations.
https://github.com/didi/LogicFlow
10 832
#csharp #actor #c_sharp #dotnet #game #game_engine #meta #metaverse #mmo #mmorpg #server #unity #unity3d #web3
ET是一款强大且灵活的游戏开发框架，专为分布式游戏服务端和客户端设计。它使用C#和.NET Core，支持跨平台开发，可以在Windows和Linux上运行。这里是最重要的信息和用户益处：
- **高效开发** 客户端和服务端都支持热重载，开发者可以修改逻辑代码而无需重启客户端或服务端。
- **共享代码** 支持KCP、ENET、TCP和Websocket协议，提供低延迟、高可靠性的网络通信。Benchmark测试显示其网络性能远超主线程需求。
- **机器人压测** AI开发比行为树更加简单，写起来像写UI一样容易。
- **可视化工具**: 提供客户端和服务端数据可视化功能，方便调试和监控。
这些特点使得ET成为一个非常适合大型游戏开发的框架，能够大大提升开发效率和性能。
https://github.com/egametang/ET
10 832
#python
AlphaFold is a powerful tool for predicting protein structures. Here’s how it benefits you:
AlphaFold allows you to predict the 3D structure of proteins from their amino acid sequences. It uses advanced machine learning models and large genetic databases to make highly accurate predictions. You can run AlphaFold on a Linux machine with an NVIDIA GPU, and it provides various models (monomer, multimer) to handle different types of protein structures. The process involves downloading genetic databases, setting up the environment, and running the prediction script. The output includes predicted structures, confidence scores, and other useful metadata.
This tool is particularly useful for researchers and scientists who need to understand protein structures for drug design, disease research, or other biological studies. By using AlphaFold, you can save time and resources compared to experimental methods like X-ray crystallography or NMR spectroscopy, while still achieving high accuracy in your predictions.
https://github.com/google-deepmind/alphafold
10 832
#python #deeplabv3 #image_segmentation #medical_image_segmentation #pspnet #pytorch #realtime_segmentation #retinal_vessel_segmentation #semantic_segmentation #swin_transformer #transformer #vessel_segmentation
MMSegmentation is an open-source semantic segmentation toolbox based on PyTorch, part of the OpenMMLab project. It offers a unified benchmark for various semantic segmentation methods, a modular design allowing easy customization, and support for multiple popular segmentation frameworks like PSPNet and DeepLabV3+. The toolbox is highly efficient and provides detailed tutorials, advanced guides, and support for numerous datasets and backbones. This makes it a powerful tool for researchers and developers to implement and develop new semantic segmentation methods efficiently. By using MMSegmentation, you can leverage its flexibility, extensive features, and community support to enhance your projects in image segmentation tasks.
https://github.com/open-mmlab/mmsegmentation
10 832
#go #docker #docker_compose #go #golang #orchestration
Docker Compose is a tool that helps you run multiple containers for your application easily. You define how your containers should be set up using a Compose file, and then you can start your entire application with just one command: `docker compose up`. This makes it simple to manage and run complex applications. You can get Docker Compose through Docker Desktop on Windows and macOS, or download it manually for Linux. Using Docker Compose saves time and effort by automating the setup and execution of your multi-container applications.
https://github.com/docker/compose
10 832
#cplusplus #arrow
Apache Arrow is a tool that helps big data systems process and move data quickly. It uses an efficient in-memory format to represent different types of data, allowing for fast communication between processes and different environments. Arrow has libraries in many programming languages like C++, Python, Java, and more, making it versatile. It also includes features like zero-copy memory sharing and support for various file formats. Using Apache Arrow can speed up your analytics tasks and make handling large datasets easier.
https://github.com/apache/arrow
10 832
#python #beit #beit_3 #bitnet #deepnet #document_ai #foundation_models #kosmos #kosmos_1 #layoutlm #layoutxlm #llm #minilm #mllm #multimodal #nlp #pre_trained_model #textdiffuser #trocr #unilm #xlm_e
Microsoft is developing advanced AI models through large-scale self-supervised pre-training across various tasks, languages, and modalities. These models, such as Foundation Transformers (Magneto) and Kosmos-2.5, are designed to be highly generalizable and capable of handling multiple tasks like language understanding, vision, speech, and multimodal interactions. The benefit to users includes state-of-the-art performance in document AI, speech recognition, machine translation, and more, making these models highly versatile and efficient for a wide range of applications. Additionally, tools like TorchScale and Aggressive Decoding enhance stability, efficiency, and speed in model training and deployment.
https://github.com/microsoft/unilm
10 832
#typescript #automation #chrome #chromium #e2e_testing #electron #end_to_end_testing #firefox #javascript #playwright #test #test_automation #testing #testing_tools #web #webkit
Playwright is a powerful tool for testing and automating web applications across different browsers like Chromium, Firefox, and WebKit. It offers a single API to test multiple browsers, ensuring your tests are reliable, fast, and free from flaky results. With features like auto-wait for elements and web-first assertions, Playwright eliminates the need for artificial timeouts. It also supports headless execution on all platforms and provides tools like code generation, an inspector, and trace viewer to make testing easier. This means you can write robust tests quickly and efficiently, saving time and ensuring your web application works perfectly across various browsers and scenarios.
https://github.com/microsoft/playwright
10 832
#php #cloud #collaboration #decentralized #design #distributed #enterprise #federation #file_sharing #free_software #hacktoberfest #javascript #nextcloud #open_source #opensource #owncloud #php #self_hosting #sharing #usability #ux
Nextcloud is a powerful tool that lets you store, sync, and share your files, contacts, calendars, and more on a server you control. It offers robust security features like encryption and two-factor authentication. You can expand its capabilities with hundreds of apps for tasks such as video chat, mail, and calendar management. Nextcloud allows you to access your data from any device and share it securely with others. Whether you're an individual or part of an organization, Nextcloud provides a safe home for all your data while giving you the flexibility to customize it according to your needs.
https://github.com/nextcloud/server
10 832
#typescript
Vue.js is a powerful and free open-source framework for building web applications. To get started, you can follow the easy-to-use documentation on vuejs.org. It's supported by many sponsors and contributors, ensuring continuous improvement. For help, you can use the official forum or community chat. If you find any issues or want to contribute, there are clear guidelines to follow. Using Vue.js benefits you by providing a robust and well-maintained tool for creating dynamic web interfaces quickly and efficiently.
https://github.com/vuejs/core
10 832
#go #consul #docker #etcd #go #golang #kubernetes #letsencrypt #load_balancer #marathon #mesos #microservice #reverse_proxy #traefik #zookeeper
Traefik is a tool that makes it easy to manage traffic to your microservices. It automatically configures itself by listening to your service registry or orchestrator, such as Docker, Kubernetes, or Consul, so you don't have to manually update routes every time you change your services. This saves you time and effort in managing complex environments. Traefik also supports features like load balancing, HTTPS with Let's Encrypt, and provides a simple web UI for monitoring. Overall, it simplifies the process of exposing your microservices to the outside world.
https://github.com/traefik/traefik
10 832
#python #large_language_models #model_para #transformers
Megatron-LM and Megatron-Core are powerful tools for training large language models (LLMs) on NVIDIA GPUs. Megatron-Core offers GPU-optimized techniques and system-level optimizations, allowing you to train custom transformers efficiently. It supports advanced parallelism strategies, activation checkpointing, and distributed optimization to reduce memory usage and improve training speed. You can use Megatron-Core with other frameworks like NVIDIA NeMo for end-to-end solutions or integrate its components into your preferred training framework. This setup enables scalable training of models with hundreds of billions of parameters, making it beneficial for researchers and developers aiming to advance LLM technology.
https://github.com/NVIDIA/Megatron-LM
10 832
#python #age_estimation #arcface #face_alignment #face_detection #face_recognition #mxnet #oneflow #paddlepaddle #pytorch #retinaface
InsightFace is an open-source toolbox for 2D and 3D face analysis, using PyTorch and MXNet. It offers advanced algorithms for face recognition, detection, and alignment, optimized for both training and deployment. The project includes pre-trained models, various network backbones, and support for multiple operating systems. You can use it for non-commercial research purposes under the MIT License. Key features include integrated face-swapping models that outperform many commercial products, a cross-platform face recognition SDK, and participation in several challenges where InsightFace has achieved top rankings. This tool benefits users by providing robust and efficient face analysis capabilities with easy integration into their projects.
https://github.com/deepinsight/insightface
10 832
#python #augmix #convnext #distributed_training #dual_path_networks #efficientnet #image_classification #imagenet #maxvit #mixnet #mobile_deep_learning #mobilenet_v2 #mobilenetv3 #nfnets #normalization_free_training #pretrained_models #pretrained_weights #pytorch #randaugment #resnet #vision_transformer_models
PyTorch Image Models (`timm`) is a comprehensive library that includes a wide range of state-of-the-art image models, layers, utilities, optimizers, and training scripts. Here are the key benefits `timm` offers over 300 pre-trained models from various families like Vision Transformers, ResNets, EfficientNets, and more, allowing you to choose the best model for your task.
- **Pre-trained Weights** You can easily extract features at different levels of the network using `features_only=True` and `out_indices`, making it versatile for various applications.
- **Optimizers and Schedulers** It provides several augmentation techniques like AutoAugment, RandAugment, and regularization methods like DropPath and DropBlock to enhance model performance.
- **Reference Training Scripts**: Included are high-performance training, validation, and inference scripts that support multiple GPUs and mixed-precision training.
Overall, `timm` simplifies the process of working with deep learning models for image tasks by providing a unified interface and extensive tools for training and evaluation.
https://github.com/huggingface/pytorch-image-models
10 832
#typescript #framework #hacktoberfest #javascript #javascript_framework #microservices #nest #nestjs #node #nodejs #nodejs_framework #typescript #typescript_framework #websockets
Nest is a powerful framework for building efficient and scalable server-side applications using Node.js. It uses modern JavaScript and TypeScript, combining elements of Object Oriented Programming, Functional Programming, and Functional Reactive Programming. Nest provides an out-of-the-box application architecture that makes it easy to create highly testable, maintainable, and scalable applications. It also supports a wide range of libraries like Express and Fastify, allowing you to use many third-party plugins. This framework helps developers build robust server-side applications quickly and efficiently, making it a great tool for improving productivity and application quality.
https://github.com/nestjs/nest
10 832
#python #api #apis #dataset #development #free #list #lists #open_source #public #public_api #public_apis #resources #software
You can use the Public APIs repository to access a wide range of APIs from various domains. Here’s a brief overview of the benefits and key information The repository includes an extensive list of public APIs, making it a treasure trove for developers.
- **Community Curated** Many APIs are provided by APILayer, which offers a simple way to integrate these APIs into your products.
### Key Information
- **API Categories** Specific APIs like IP Stack, Marketstack, Weatherstack, Numverify, Fixer, and others are highlighted for easy access.
- **Community Involvement**: You can contribute to the repository by following the contributing guide, reporting issues, and submitting pull requests.
Using this repository can significantly streamline your development process by providing quick access to a diverse set of APIs.
https://github.com/public-apis/public-apis
10 832
#javascript #airtable #hiring #hiring_without_whiteboards #interview #jobs #tech #whiteboard
Here’s the key information in simple English, along with the benefits to the user
- **Real-World Problems** You might be given a project to complete at home, which allows you to showcase your skills in a more natural setting.
- **Pair Programming** Interviews focus on discussing your past experiences, how you approach problems, and your technical background.
**Benefits to You These methods give a clearer picture of your actual skills and how you work in real-world scenarios.
- **Less Stress** You get to interact with the team and understand the company culture better.
- **More Meaningful Feedback**: You receive feedback on your work and approach, which can help you grow professionally.
This approach makes the interview process more enjoyable and relevant, allowing both you and the company to assess whether you're a good fit for the role.
https://github.com/poteto/hiring-without-whiteboards
10 832
#typescript
Cline is an AI assistant that helps with software development tasks in your command line and editor. It can create and edit files, run terminal commands, and analyze images to fix bugs or turn mockups into apps. Cline uses advanced AI models to understand your project structure and source code, allowing it to proactively fix errors like missing imports and syntax issues. It also executes commands in your terminal and monitors their output, ensuring safe and efficient work. You can use Cline with various API providers and track API usage costs. This tool makes coding easier by automating many tasks, saving you time and effort while providing a secure way to manage file changes and terminal operations.
https://github.com/clinebot/cline
10 832
#shell
To self-host Huly on your server, you need to install `nginx` and `docker`, then clone the `huly-selfhost` repository and configure it with your server's IP address. Ensure your server has at least 2 vCPUs and 4GB of RAM to avoid performance issues. After setting up, restart `nginx` and start Huly with `docker compose`. For security, keep MongoDB, MinIO, and Elastic services internal and change default credentials. You also need to generate VAPID keys for push notifications and configure OpenID Connect for user authentication if needed. This setup allows you to run Huly securely on your own server, giving you full control over data and performance.
https://github.com/hcengineering/huly-selfhost
