Github Top Repositories
Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.
Show more📈 Analytical overview of Telegram channel Github Top Repositories
Channel Github Top Repositories (@githubre) in the English language segment is an active participant. Currently, the community unites 15 212 subscribers, ranking 13 433 in the Education category and 26 115 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 15 212 subscribers.
According to the latest data from 04 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 407 over the last 30 days and by 27 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0.93%. Within the first 24 hours after publication, content typically collects 0.62% reactions from the total number of subscribers.
- Post reach: On average, each post receives 142 views. Within the first day, a publication typically gains 95 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
- Thematic interests: Content is focused on key topics such as repository, fork, programming, statistic, description.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Top GitHub repositories in one place 🚀
Explore the best projects in programming, AI, data science, and more.”
Thanks to the high frequency of updates (latest data received on 05 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
maigret can be used as a Python library and has a web interface for browsing results as a graph and downloading reports.
To get started, simply run pip install maigret and then maigret YOUR_USERNAME. No install? Try the community Telegram bot or a Cloud Shell.
Maigret is ideal for OSINT investigators, security researchers, and social media analysts looking to gather insights about individuals or organizations.
One-liner takeaway: Maigret is the ultimate username tracker that helps you uncover hidden profiles and connections across the web in minutes.
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🧠 Channel: https://t.me/GithubReinstall FluidVoice, use Homebrew: brew install --cask fluidvoice or download the latest release.
The app is designed for individuals who value privacy and want a seamless dictation experience. With its local-first approach, FluidVoice ensures that user data never leaves the machine unless opted-in to a cloud AI provider.
Overall, FluidVoice is a powerful tool for anyone looking for a reliable and private dictation solution on macOS. Give your fingers a break and let FluidVoice do the typing for you.
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🧠 Channel: https://t.me/GithubRecupy by simply importing it:
import cupy as cp
x = cp.arange(6).reshape(2, 3).astype('f')
print(x.sum(axis=1))
CuPy provides access to low-level CUDA features, including RawKernels and Streams for performance optimization. It's perfect for data scientists, machine learning engineers, and researchers looking to accelerate their computations.
You can install CuPy using Pip or Conda, and it's also available as a Docker image. CuPy is MIT-licensed and developed by Preferred Networks and community contributors.
CuPy is a game-changer for Python developers: Unleash the power of your GPU with just one import statement!
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🧠 Channel: https://t.me/GithubReSpecialized agents with deep expertise in their domains
- Personality-Driven agents with unique voices and approaches
- Deliverable-Focused agents that provide real code, processes, and measurable outcomes
- Production-Ready agents with battle-tested workflows and success metrics
To use the agents, you can:
- Install the native Agency Agents app for macOS, Linux, or Windows
- Use the command-line interface with various tools like Claude Code, Cursor, or Codex
- Browse and copy/adapt agents as reference
Technical highlights include:
- scripts/install.sh for easy installation
- Support for multiple tools and platforms
- Regular updates and contributions from the community
The target audience is anyone looking to leverage AI expertise in their workflow, including developers, designers, and teams.
In short, Agency Agents is your dream team of AI specialists, never sleeping, never complaining, and always delivering - transform your workflow with the power of AI, today.
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🧠 Channel: https://t.me/GithubReAndroid and iOS, as well as a terminal app for Linux, MacOS, and Windows.
To get started, users can install the app, connect with the team, and join user groups. Making a private connection is straightforward: simply share a link with a friend or scan a QR code from their phone.
The platform also allows for contribution and translation to help SimpleX grow. With a strong focus on community, SimpleX Chat provides a user guide and encourages feedback and suggestions.
Overall, SimpleX Chat is the perfect choice for those seeking a secure and private messaging experience. Take control of your digital privacy with SimpleX Chat - the future of messaging is private.
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🧠 Channel: https://t.me/GithubReSet up https://github.com/browser-use/video-use for me. ...Then, point your agent at a folder of raw takes and let video-use handle the rest. Technical highlights of video-use include its use of two layers to give the LLM everything it needs to cut with word-boundary precision: an audio transcript and a visual composite. The pipeline is designed with text + on-demand visuals, audio as primary, and visuals following. Video-use is perfect for anyone looking to streamline their video editing process, from talking heads to travel videos. One-liner takeaway: With video-use, you can revolutionize your video editing workflow and get professional results with minimal effort. ────────────────────────────── 🧠 Channel: https://t.me/GithubRe
Usage: Strix can be used for application security testing, rapid penetration testing, bug bounty automation, and CI/CD integration. It supports multiple targets, including local codebases, GitHub repositories, and web applications.
strix --target ./app-directory
strix --target https://github.com/org/repo
strix --target https://your-app.com
Technical Highlights: Strix comes with a comprehensive security testing toolkit, including full HTTP proxy, browser automation, terminal environments, Python runtime, reconnaissance, and code analysis. It can identify and validate a wide range of security vulnerabilities, including access control, injection attacks, server-side, client-side, business logic, authentication, and infrastructure vulnerabilities.
Audience: Strix is designed for developers and security teams who need fast and accurate security testing without the overhead of manual penetration testing or the false positives of static analysis tools.
In summary, Strix is a powerful AI-powered security testing tool that helps you find and fix vulnerabilities in your applications - test like a hacker, without being one.
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🧠 Channel: https://t.me/GithubResimple and easy-to-understand explanations, visual aids, and real-world examples. The repository is suitable for anyone looking to learn system design, from beginners to experienced developers.
The repository is technical in nature, with a focus on system design principles, architecture patterns, and best practices. It covers a broad range of topics, including API design, load balancing, database systems, and cloud computing.
The target audience for this repository is developers, system architects, and technical enthusiasts looking to improve their knowledge of system design.
In short, the ByteByteGoHq/system-design-101 repository is an invaluable resource for anyone looking to learn system design, with its simple explanations, real-world examples, and technical depth - learn system design the easy way, with ByteByteGo.
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🧠 Channel: https://t.me/GithubRepip install vibe-trading-ai and follow the documentation.
The project is built using Python 3.11+, FastAPI, and React 19, and is available on PyPI. The project has a strong focus on community involvement, with multiple language support and a growing list of features.
With Vibe-Trading, users can create their own trading strategies, backtest them, and even use a shadow account to simulate real-world trading scenarios. The project is constantly evolving, with new features and updates being added regularly.
Whether you're a seasoned trader or just starting out, Vibe-Trading is definitely worth checking out. So why wait? Dive into the world of algorithmic trading with Vibe-Trading and take your trading to the next level - automate your trades and let the algorithm do the work!
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🧠 Channel: https://t.me/GithubRe