Github Top Repositories
Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
Показати більше📈 Аналітичний огляд Telegram-каналу Github Top Repositories
Канал Github Top Repositories (@githubre) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 13 227 підписників, посідаючи 15 419 місце в категорії Освіта та 32 691 місце у регіоні Індія.
📊 Показники аудиторії та динаміка
З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 13 227 підписників.
За останніми даними від 06 червня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 344, а за останні 24 години на 12, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
- Рівень залученості (ER): Середній показник залученості аудиторії становить 1.18%. Протягом перших 24 годин після публікації контент зазвичай збирає 0.79% реакцій від загальної кількості підписників.
- Охоплення публікацій: В середньому кожен допис отримує 156 переглядів. Протягом першої доби публікація в середньому набирає 104 переглядів.
- Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 1.
- Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як repository, fork, programming, statistic, description.
📝 Опис та контентна політика
Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“Top GitHub repositories in one place 🚀
Explore the best projects in programming, AI, data science, and more.”
Завдяки високій частоті оновлень (останні дані отримано 08 червня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Освіта.
AI skills and agents that assist in planning, review, and execution, ensuring that knowledge is codified and reusable.
Key features include:
* /ce-brainstorm for interactive Q&A to think through a feature or problem
* /ce-plan to turn feature ideas into detailed implementation plans
* /ce-code-review for multi-agent code review before merging
* /ce-compound to document learnings and make future work easier
To get started, simply install the plugin and run /ce-setup in your project. The plugin currently ships with 37 skills and 51 agents, and is available for various platforms, including Claude Code, Cursor, Codex, and more.
With the Compound Engineering Plugin, you can compound your knowledge and expertise, making each subsequent unit of work easier and more efficient. As the plugin's philosophy states, "a good brainstorm makes the plan sharper, a good plan makes execution smaller, and a good review catches the pattern, not just the bug."
The takeaway: Work smarter, not harder, with the Compound Engineering Plugin.
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🧠 Channel: https://t.me/GithubRepip install -U heretic-llm and heretic [model_name] to decensor a model.
Technical Highlights:
- Combines advanced directional ablation with TPE-based parameter optimization
- Co-minimizes the number of refusals and KL divergence from the original model
- Supports model quantization with bitsandbytes to reduce VRAM requirements
Audience:
- Researchers and developers working with language models
- Users looking to decensor language models without requiring extensive technical knowledge
Takeaway:
With Heretic, you can automatically decensor language models and unlock their full potential, all without needing to be an expert in transformer internals.
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🧠 Channel: https://t.me/GithubRepolish, audit, critique, and distill commands, as well as a standalone CLI for detecting anti-patterns. The project is designed for developers, designers, and anyone looking to improve their design skills.
To get started, simply run npx impeccable skills install and access the commands through /impeccable. With Impeccable, you can design like you mean it.
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🧠 Channel: https://t.me/GithubReadaptive parsing, which learns from website changes, and fetchers that bypass anti-bot systems like Cloudflare Turnstile. The framework also includes a spider framework for scaling up to concurrent, multi-session crawls with pause/resume and automatic proxy rotation.
To use Scrapling, you can start with a simple Fetcher or StealthyFetcher to fetch a website, and then use css selectors to scrape data. For larger crawls, you can define a Spider class and use the start method to begin the crawl.
Some technical highlights of Scrapling include its use of real-time stats and streaming for fast crawls, as well as its support for proxy rotation and anti-bot bypass. The framework is designed for web scrapers and regular users alike, with a simple and intuitive API.
Scrapling is suitable for a wide range of users, from beginner web scrapers to experienced developers. Whether you're looking to scrape a single website or build a large-scale web crawling application, Scrapling has the tools and features you need.
Here's an example of how to use Scrapling:
from scrapling.fetchers import StealthyFetcher
StealthyFetcher.adaptive = True
p = StealthyFetcher.fetch('https://example.com', headless=True, network_idle=True)
products = p.css('.product', auto_save=True)
In short, Scrapling is the ultimate web scraping framework - scrape the web, effortlessly.
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🧠 Channel: https://t.me/GithubReMVC architecture, making it easy to maintain and extend. It also provides a Web interface and API for easy access.
To get started, users can deploy the project using Docker or manually install the required dependencies. The project also supports various LLM providers, including OpenAI and AIHubMix.
MoneyPrinterTurbo is suitable for developers, content creators, and anyone interested in AI-generated video content.
One-liner takeaway: MoneyPrinterTurbo is a powerful tool that simplifies video content creation with AI-powered automation.
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🧠 Channel: https://t.me/GithubReSupermemory, you can enjoy a seamless experience, whether you're using AI tools or building your own AI products. The platform offers a single API for developers to integrate memory, RAG, user profiles, and connectors into their agents and apps, making it easy to get started.
Some of the key features of Supermemory include:
* Memory: Extracts facts from conversations and handles temporal changes, contradictions, and automatic forgetting
* User Profiles: Auto-maintained user context, including stable facts and recent activity
* Hybrid Search: Combines RAG and memory in a single query for a more comprehensive search experience
* Connectors: Real-time sync with Google Drive, Gmail, Notion, and other platforms
To get started with Supermemory, you can use the Supermemory App, browser extension, or plugins, which provide a consumer-facing experience and allow you to give your AI persistent memory. For developers, the platform offers a range of framework integrations, including Vercel AI SDK, LangChain, and Mastra, making it easy to integrate Supermemory into your existing workflow.
Don't just take our word for it - Supermemory is state of the art across all major AI memory benchmarks, including LongMemEval, LoCoMo, and ConvoMem. With its powerful features, ease of use, and exceptional performance, Supermemory is the perfect solution for anyone looking to take their AI to the next level. Give your AI the gift of memory and discover a whole new world of possibilities - your AI will thank you!
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🧠 Channel: https://t.me/GithubRethree-panel layout with a left sidebar for sessions and navigation, a center panel for chat, and a right panel for workspace file browsing. The interface includes features such as a composer footer with model, profile, and workspace controls, a circular context ring to show token usage, and a Hermes Control Center for settings and session tools.
Key features of the Hermes Web UI include full parity with the CLI experience, allowing users to perform all actions from the web interface, as well as streaming responses via SSE for real-time updates. The web UI also supports multi-provider model and allows users to edit past messages and retry or cancel tasks.
The Hermes Web UI is designed for users who want a convenient and user-friendly interface for interacting with the Hermes Agent, while still providing the full functionality of the CLI experience. It is ideal for developers, researchers, and anyone who wants to leverage the power of the Hermes Agent from a web browser.
The technical highlights of the Hermes Web UI include its implementation in vanilla JavaScript and Python, with no additional frameworks or bundlers required. The web UI is also designed to be self-hosted, allowing users to run it on their own servers and maintain control over their data.
Overall, the Hermes Web UI provides a powerful and convenient interface for interacting with the Hermes Agent, making it an ideal choice for anyone looking to leverage the capabilities of this advanced autonomous agent.
The takeaway: Hermes Web UI brings the power of the Hermes Agent to your browser, with a user-friendly interface and full parity with the CLI experience.
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🧠 Channel: https://t.me/GithubReUsage examples:
- Command-line: markitdown path-to-file.pdf > document.md
- Python API: from markitdown import MarkItDown; md = MarkItDown(); result = md.convert("test.xlsx"); print(result.text_content)
Technical Highlights: MarkItDown uses Markdown as its output format, which is close to plain text and provides a way to represent important document structure. It also supports Large Language Models for image descriptions and has integrations with Azure Document Intelligence and Azure Content Understanding for higher-quality conversions.
Audience: MarkItDown is designed for developers and data scientists working with LLMs and text analysis pipelines, particularly those who need to convert various file formats to Markdown for analysis or processing.
In summary, MarkItDown is a powerful tool for converting files to Markdown, with a wide range of supported formats and a flexible plugin architecture - it's a game-changer for anyone working with Large Language Models and text analysis pipelines.
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🧠 Channel: https://t.me/GithubRe3D Renderer to creating a Blockchain / Cryptocurrency, Bot, Database, and much more. The projects are implemented in various programming languages, including C++, Java, Python, and JavaScript.
To use the repository, simply navigate to the project of your choice and follow the provided tutorial or guide. The technical highlights of the repository include the use of various programming languages and technologies, such as OpenGL for 3D rendering, Node.js for building a CLI tool, and Rust for building a Blockchain.
The repository is suitable for developers of all levels, from beginners to experienced programmers. Whether you're looking to learn a new programming language or technology, or simply want to challenge yourself by building something from scratch, this repository has something for everyone.
In short, the codecrafters-io/build-your-own-x repository is an excellent resource for anyone looking to learn by doing, and its projects and tutorials are sure to provide a fun and rewarding learning experience. So, what are you waiting for? Get building, and remember: "The best way to learn is by doing!"
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🧠 Channel: https://t.me/GithubRefull stack developers to AI engineers, and includes a variety of technologies and programming languages. You can browse the portfolios alphabetically or visit the Developer Portfolios Website for more information.
The repository is not just a list of portfolios, but also a community-driven project where developers can contribute and share their own portfolios. Whether you're a seasoned developer or just starting out, this repository is a great place to learn from others, get inspiration, and showcase your own work.
So, get inspired and start building your own portfolio today - a great portfolio is just a git push away!
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🧠 Channel: https://t.me/GithubRe
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