Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
GitHub Trends
Kanalga Telegram’da o‘tish
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
Ko'proq ko'rsatishMamlakat belgilanmaganTexnologiyalar & Aralashmalar11 502
📈 Telegram kanali GitHub Trends analitikasi
GitHub Trends (@githubtrending) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 10 823 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 11 502-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 10 823 obunachiga ega bo‘ldi.
13 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 225 ga, so‘nggi 24 soatda esa 4 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 5.84% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 3.12% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 632 marta ko‘riladi; birinchi sutkada odatda 338 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 1 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent linux, workflow, setup, claude, command kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“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”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 14 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
10 823
Obunachilar
+424 soatlar
+547 kunlar
+22530 kunlar
Postlar arxiv
10 828
#kotlin #compiler #gradle_plugin #intellij_plugin #kotlin #kotlin_library #maven_plugin #programming_language #wasm #webassembly
Kotlin is a programming language that helps you write code more efficiently. It is supported by JetBrains and open-source contributors. One of the main benefits of Kotlin is its multiplatform capability, which allows you to write code once and use it on different platforms like Android, iOS, and more. This saves time and effort because you don't have to write the same code multiple times for each platform. Kotlin also has good tools and plugins for popular IDEs like IntelliJ IDEA, making it easier to edit and build your projects. The project is open-source and follows the Apache License 2.0, allowing anyone to contribute and use it freely.
https://github.com/JetBrains/kotlin
10 828
#go #c #clang #golang #ip_address #ip_address_database #ip_address_location #ip_location #ip_lookup #java #lua #lua_extension #php #rust #xdb_engine
Ip2region is a tool that helps you find the location of an IP address very quickly. It can handle a huge number of IP addresses and provides detailed information like country, region, province, city, and ISP. The tool is very fast, taking only about 10 microseconds to query an IP address. It supports many programming languages and allows you to customize the data to fit your needs. You can also update the data yourself using various tools and methods provided. This makes it very useful for applications that need fast and accurate IP location information.
https://github.com/lionsoul2014/ip2region
10 828
#python #design #design_patterns #design_system #development #interview #interview_practice #interview_questions #programming #python #system #web #web_application #webapp
This guide helps you learn how to design large-scale systems and prepare for system design interviews. Here are the key points The guide provides an organized collection of resources on system design principles, including video lectures, articles, and practice interview questions.
- **Interview Preparation** The guide covers various system design topics like performance vs scalability, latency vs throughput, availability vs consistency (CAP theorem), caching, load balancing, reverse proxies, database design (SQL and NoSQL), and communication protocols (HTTP, TCP, UDP).
- **Tools and Techniques** The guide includes real-world architectures from companies like Google, Facebook, Twitter, and others to help understand how these principles are applied in practice.
- **Contributing**: It encourages contributions to improve and expand the content.
Using this guide, you can become a better engineer by learning how to build scalable systems and prepare effectively for technical interviews.
https://github.com/donnemartin/system-design-primer
10 828
#typescript #active_record #cockroachdb #data_mapper #database #electron #hacktoberfest #javascript #mariadb #mysql #oracle #orm #postgresql #react_native #sap #sap_hana #sqlite #sqlserver #typeorm #typescript #websql
TypeORM is a powerful tool for managing databases in various JavaScript environments, including NodeJS, Browser, and mobile frameworks like React Native and Ionic. Here’s what you need to know TypeORM works on different platforms such as NodeJS, Browser, Cordova, PhoneGap, Ionic, React Native, NativeScript, Expo, and Electron.
- **Database Support** It supports both Active Record and Data Mapper patterns, allowing you to write high-quality, scalable applications. It includes features like entities, columns, associations, transactions, migrations, and more.
- **Easy Installation** You define your database models as classes decorated with TypeORM decorators, making it easy to create, read, update, and delete data in your database.
- **Relations and Queries**: TypeORM allows you to define relationships between entities (one-to-one, many-to-one, many-to-many) and use a powerful QueryBuilder to execute complex SQL queries.
Using TypeORM benefits you by simplifying database operations, providing a clean and maintainable codebase, and supporting advanced database features out of the box. This makes developing database-driven applications more efficient and productive.
https://github.com/typeorm/typeorm
10 828
#javascript
The GPT AI Assistant is an app that lets you chat with an AI using the LINE mobile app. It uses advanced OpenAI models like gpt-4 and gpt-3.5-turbo, and it also supports audio messages. This means you can have smart conversations and even use voice messages with your AI assistant. The benefit to you is that you get a powerful and easy-to-use tool for getting answers and help right on your phone.
https://github.com/memochou1993/gpt-ai-assistant
10 828
#go #ai_gateway #ai_native #api_gateway #cloud_native #envoy
Higress is a powerful API gateway that uses AI and is built on top of Envoy and Istio. It helps manage traffic for AI services, microservices, and other applications. Here are the key benefits You can start Higress with just a Docker command, making it simple for personal developers to set up and use.
- **AI Integration** It is designed for large-scale scenarios, handling tens of thousands of requests per second without disrupting the service.
- **Flexible Expansion** It includes WAF protection, multiple authentication strategies, and automatic SSL certificate management, ensuring your applications are secure.
Overall, Higress makes managing and scaling your applications easier, more efficient, and secure.
https://github.com/alibaba/higress
10 828
#rust #auto_generated #compile_time #documentation #generated #openapi #openapi_documentation #openapi31 #rest #rest_api #rest_api_documentation #rust #swagger
Utoipa is a tool that helps you create OpenAPI documentation for your Rust REST APIs automatically. It saves you time by generating the documentation from your code, so you don't have to write it manually. Here’s how it benefits you Utoipa is simple to integrate with various web frameworks like Actix, Axum, and Rocket, or even without one.
- **Automatic Documentation** You can customize the documentation with various features and support for different data types.
- **Efficient**: It focuses on being minimal, simple, and fast, allowing you to concentrate on writing the actual API logic.
Overall, Utoipa makes documenting your API easier and more efficient.
https://github.com/juhaku/utoipa
10 828
#html
Historical documents (in Chinese) about the GPCR (Thanks Comrade RC MR HR etc.)
https://github.com/ProletRevDicta/Prolet
10 828
#python #age_prediction #arcface #deep_learning #deepface #deepid #emotion_recognition #face_analysis #face_recognition #facenet #facial_expression_recognition #facial_recognition #gender_prediction #machine_learning #openface #python #race_classification #vgg_face
DeepFace is a powerful tool for face recognition and facial attribute analysis. It allows you to recognize faces, predict age, gender, emotions, and race, and even detect whether an image is real or fake. You can install it easily using `pip install deepface` and use simple functions like `DeepFace.verify` for face verification, `DeepFace.find` for face recognition, and `DeepFace.analyze` for facial attribute analysis. DeepFace wraps several state-of-the-art models, making it highly accurate and versatile. It also supports real-time video analysis and can be integrated with various detectors and alignment methods. This tool simplifies complex face recognition tasks, making it easy to use without needing deep knowledge of the underlying processes.
https://github.com/serengil/deepface
10 828
#swift #ai #android #barcode #camera #instagram #ios #javascript #jsi #library #native #qr #qrcode #react #react_native #react_native_camera #scanner #snapchat #typescript #vision #worklet
VisionCamera is a powerful camera library for React Native that offers many useful features. You can capture photos and videos, scan QR codes and barcodes, use multiple cameras, and adjust resolutions and frame rates. It also supports advanced features like facial recognition, object detection, and real-time video chats through frame processors. Additionally, you can draw shapes, text, and filters on the camera view, and it includes smooth zooming, fast pause and resume, HDR and night modes, and a custom video pipeline. Installing it is easy with npm, and there are detailed guides and examples to help you get started. Using VisionCamera can enhance your app's camera capabilities significantly.
https://github.com/mrousavy/react-native-vision-camera
10 828
#go #k8s_sig_api_machinery
The Kubernetes controller-runtime project provides a set of Go libraries to help you build controllers for Kubernetes. It is used by tools like Kubebuilder and Operator SDK, which are great for starting new projects. This project follows semantic versioning, ensuring compatible code releases. You can find detailed documentation and examples to help you get started. The benefit to you is that it makes building and managing Kubernetes controllers easier and more reliable, with clear guidelines for contributions and compatibility.
https://github.com/kubernetes-sigs/controller-runtime
10 828
#typescript #astro #blog #browser #components #hybrid #islands #node #server #static #static_site_generator #universal
Astro is a tool to help you build websites easily and efficiently. It offers a powerful developer experience while keeping the output lightweight, meaning your website will load quickly. You can install Astro using simple commands like `npm create astro@latest` or `npm install --save-dev astro`. There are also many resources available, such as a Getting Started guide, starter projects, and official documentation. If you need help, you can join the Astro Discord community. This tool supports various integrations with popular frameworks like React, Vue, and Svelte, making it versatile for different needs. Using Astro can make building and maintaining your website much easier and faster.
https://github.com/withastro/astro
10 828
#swift #cache #filters #image #image_processor #ios #kingfisher #macos #swift #xcode
Kingfisher is a powerful library for downloading and caching images in your apps. It helps you load images from the web quickly and efficiently. Here are the key benefits:
- It downloads images asynchronously and caches them for faster access later.
- You can customize how images are processed, such as resizing or adding effects.
- It supports both UIKit and SwiftUI, making it versatile for different types of apps.
- It includes features like placeholders, indicators, and transition animations while loading images.
- You can control cache behavior, including expiration dates and size limits.
Using Kingfisher simplifies your code and improves your app's performance when handling images. For example, you can set an image to an `UIImageView` with just a few lines of code, and it will handle the downloading and caching automatically. This makes your app run smoother and saves you time in development.
https://github.com/onevcat/Kingfisher
10 828
#go #github #github_api #go #golang #hacktoberfest
The `go-github` library is a tool for accessing the GitHub API using the Go programming language. It allows you to interact with GitHub's API to perform various tasks such as listing organizations, repositories, and issues, as well as creating and updating resources. To use it, you need Go version 1.17 or later. You can install it with `go get github.com/google/go-github/v66`.
The library supports authentication using OAuth tokens and HTTP Basic Authentication, making it secure for different use cases. It also handles rate limiting and pagination, helping you manage API requests efficiently. Additionally, it provides support for conditional requests and webhooks, making it versatile for different applications.
Using `go-github` simplifies interacting with the GitHub API, allowing you to focus on your project's logic rather than dealing with the complexities of API calls. This makes it a valuable tool for developers working with GitHub integrations.
https://github.com/google/go-github
10 828
#shell #container #docker #docker_osx #kvm #macos #os #osx #osx_kvm #x #x11
You can run Mac OS X in a Docker container with near-native performance using Docker-OSX. Here are the key benefits and how to get started Run Mac OS X with performance close to native hardware.
- **X11 Forwarding** Enable iMessage and iCloud for security research by generating unique serial numbers.
- **iPhone USB Passthrough** Supports various macOS versions including Catalina, Big Sur, Monterey, Ventura, and more.
- **SSH and VNC Access** Share folders between the host and the container.
To get started, ensure your system supports hardware virtualization, install QEMU and Docker, and then run the Docker container using commands like10022 \
-v /tmp/.X11-unix-latest
```
You can also join the Discord server for support and more detailed instructions. This setup allows you to run macOS in a container, which is useful for development, security research, and other purposes.
https://github.com/sickcodes/Docker-OSX
10 828
#typescript #apis #automated #automation #cli #data_flow #development #docker #integration_framework #integrations #ipaas #low_code #low_code_development_platform #low_code_platform #n8n #no_code #node #self_hosted #typescript #workflow #workflow_automation
n8n is a powerful tool for automating workflows. It allows you to connect different services and apps using over 200 nodes, making it highly versatile. You can customize it with your own functions and logic, and it's open-source, so you can see and modify the code. n8n also offers a cloud version that simplifies setup and maintenance. The benefit to you is that it saves time by automating repetitive tasks, and its flexibility lets you integrate various tools and services easily. You can start using it quickly without installation by running a simple command in your terminal.
https://github.com/n8n-io/n8n
10 828
#python #altcoin #api #arbitrage #bitcoin #bot #btc #crypto #cryptocurrencies #cryptocurrency #e_commerce #eth #ethereum #exchange #invest #library #market_data #merchant #strategy #trade #trading
The CCXT library is a powerful tool for cryptocurrency trading and e-commerce, supporting over 100 cryptocurrency exchanges. Here’s what you need to know CCXT works with JavaScript, Python, PHP, and C#.
- **Exchange Coverage** Provides access to both public and private APIs, allowing you to fetch market data, trade, manage accounts, and more.
- **Unified API** Ideal for coders, developers, technically-skilled traders, data scientists, and financial analysts to build trading algorithms and strategies.
- **Benefits** Easy to install via package managers like NPM, PyPI, Packagist/Composer, and Nuget.
- **Documentation**: Comprehensive documentation and examples are available to help you get started quickly.
Using CCXT can significantly streamline your cryptocurrency trading and analysis tasks, making it a valuable resource for anyone involved in the crypto space.
https://github.com/ccxt/ccxt
10 828
#jinja #ansible #calico #cilium #docker #etcd #flannel #k8s #kubeasz #kubernetes
**kubeasz** is a tool that helps you quickly set up a highly available Kubernetes (k8s) cluster. It uses binary deployment and Ansible playbooks for automation, offering both one-click installation scripts and step-by-step guides. You can customize almost any parameter of the cluster components and use pre-set default configurations for large-scale clusters.
The benefits include:
- High availability for master nodes
- Support for multiple architectures (amd64/arm64)
- Offline installation option
- Compatibility with various Linux distributions
- Automated network setup with options like Calico, Cilium, and more
- Easy management and upgrade of the cluster
This makes it easier to deploy and manage Kubernetes clusters efficiently.
https://github.com/easzlab/kubeasz
10 828
#jupyter_notebook #computer_vision #deep_learning #drug_discovery #forecasting #large_language_models #mxnet #nlp #paddlepaddle #pytorch #recommender_systems #speech_recognition #speech_synthesis #tensorflow #tensorflow2 #translation
This repository provides top-quality deep learning examples that are easy to train and deploy on NVIDIA GPUs. It includes a wide range of models for computer vision, natural language processing, recommender systems, speech to text, and more. These examples are updated monthly and come in Docker containers with the latest NVIDIA software, ensuring the best performance. The models support multiple GPUs and nodes, and some are optimized for Tensor Cores, which can significantly speed up training. This makes it easier for users to achieve high accuracy and performance in their deep learning projects.
https://github.com/NVIDIA/DeepLearningExamples
10 828
#python #bert #deep_learning #flax #hacktoberfest #jax #language_model #language_models #machine_learning #model_hub #natural_language_processing #nlp #nlp_library #pretrained_models #python #pytorch #pytorch_transformers #seq2seq #speech_recognition #tensorflow #transformer
The Hugging Face Transformers library provides thousands of pretrained models for various tasks like text, image, and audio processing. These models can be used for tasks such as text classification, image detection, speech recognition, and more. The library supports popular deep learning frameworks like JAX, PyTorch, and TensorFlow, making it easy to switch between them.
The benefit to the user is that you can quickly download and use these pretrained models with just a few lines of code, saving time and computational resources. You can also fine-tune these models on your own datasets and share them with the community. Additionally, the library offers a simple `pipeline` API for immediate use on different inputs, making it user-friendly for both researchers and practitioners. This helps in reducing compute costs and carbon footprint while enabling high-performance results across various machine learning tasks.
https://github.com/huggingface/transformers
