Github Top Repositories
Top GitHub repositories in one place π Explore the best projects in programming, AI, data science, and more.
Show moreπ 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 14 257 subscribers, ranking 13 996 in the Education category and 28 216 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 14 257 subscribers.
According to the latest data from 03 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 260 over the last 30 days and by 3 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0.95%. 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 136 views. Within the first day, a publication typically gains 89 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.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βTop GitHub repositories in one place π
Explore the best projects in programming, AI, data science, and more.β
Thanks to the high frequency of updates (latest data received on 04 September, 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.
reasoning_effort parameter, which can be set to max or high.
The GLM-5 series is designed for researchers, developers, and engineers working on complex systems, agentic tasks, and long-horizon projects. With its cutting-edge capabilities and flexible deployment options, GLM-5 is poised to revolutionize the field of Artificial General Intelligence.
One-liner takeaway: GLM-5 series is the future of AGI, and it's here now.
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π§ Channel: https://t.me/GithubReskills library with testing, debugging, collaboration, and meta skills. The target audience is developers who use coding agents.
Here's an example /plugin install superpowers@claude-plugins-official to install Superpowers.
The Superpowers methodology is based on principles like test-driven development, systematic over ad-hoc approaches, and complexity reduction.
Get Superpowers for your coding agent and supercharge your development process - it's a game-changer for coding productivity!
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π§ Channel: https://t.me/GithubReResponsive Web Design
- JavaScript
- Front-End Development Libraries
- Python
- Relational Databases
- Back-End Development and APIs
To get started, users can visit the freeCodeCamp website and sign in to access the learning platform, forum, YouTube channel, and Discord server.
The platform is built using a variety of technologies, including JavaScript, HTML, and CSS, and is deployed using a containerization approach.
freeCodeCamp is perfect for beginners and experienced developers looking to improve their skills or transition into a new role.
One-liner takeaway: freeCodeCamp is the ultimate platform to learn to code and get certified - for free, and forever.
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π§ Channel: https://t.me/GithubReQUIC and provides features like authenticated encryption, concurrent streams, and datagram transport.
To get started with iroh, you can use the Rust library by installing it with cargo add iroh and then use the provided examples to establish connections. There are also pre-existing protocols like iroh-blobs and iroh-gossip that can be used. For other languages, you can use the iroh-ffi repository for FFI bindings.
The project is licensed under Apache License, Version 2.0, and MIT license, and contributions are welcome. The iroh project is designed to be flexible and scalable, making it suitable for a wide range of use cases.
The takeaway: Iroh makes networking easier and more secure, one connection at a time.
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π§ Channel: https://t.me/GithubRetimesfm package provides a simple interface for forecasting, as shown in the example code:
model = timesfm.TimesFM_2p5_200M_torch.from_pretrained("google/timesfm-2.5-200m-pytorch")
point_forecast, quantile_forecast = model.forecast(
horizon=12,
inputs=[
np.linspace(0, 1, 100),
np.sin(np.linspace(0, 20, 67)),
],
)
Audience includes data scientists, researchers, and developers working with time-series data, particularly those interested in scalability and reliability. The model is also integrated with Google 1P products like BigQuery ML, Google Sheets, and Vertex Model Garden.
Takeaway: With TimesFM, you can easily forecast your time-series data with state-of-the-art performance and scalability.
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π§ Channel: https://t.me/GithubReDocker or Kubernetes. The tool is built with technologies like React Router, Django, and Node JS.
Plane's target audience includes any team looking for a flexible and customizable project management solution. The project is constantly evolving, with a strong focus on community involvement and contributions.
Whether you're a developer, a product manager, or simply a team lead, Plane is worth exploring. So why not give it a try and see how it can help your team streamline its workflow and achieve its goals?
Takeaway: With its flexibility, customizability, and strong community support, Plane is an excellent choice for teams seeking a modern project management solution.
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π§ Channel: https://t.me/GithubRerlms package from PyPi or set up the dependencies manually. The default RLM client uses a REPL environment that runs on the host process through Python exec calls. You can also use other REPL environments, such as IPython, Docker, or cloud-based sandboxes like Modal Sandboxes or Prime Intellect Sandboxes.
The repository includes a simple RL training harness for training RLMs, which uses subprocess-isolated local REPL execution. You can train your own RLMs and plug them into the inference engine. RLMs have many potential applications, and the repository provides a list of notable examples that explicitly use RLMs as a central piece of their design.
Takeaway: RLMs are a powerful tool for building flexible and scalable language models, and this repository provides a comprehensive framework for using and training them.
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π§ Channel: https://t.me/GithubRePython 3.10+, FFmpeg, and Node.js 18+. You can then clone the OpenMontage repository, run make setup, and start creating your videos.
OpenMontage is suitable for various users, including video creators, marketers, educators, and anyone looking to produce high-quality videos without extensive production experience.
In summary, OpenMontage is a powerful tool that simplifies video production, making it accessible to everyone. With its agentic approach, you can create stunning videos by just describing your ideas, and the system will handle the rest. Unlock your creativity with OpenMontage and discover a new way of making videos.
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π§ Channel: https://t.me/GithubReCaptain, an AI agent that automates responses and reduces agent workload
- Omnichannel Support Desk to centralize customer conversations
- Help Center Portal to publish help articles and reduce repetitive queries
- Collaboration and productivity tools like private notes, labels, and canned responses
- Integrations with Slack, Dialogflow, Shopify, and more
The platform is highly customizable, with support for multiple languages, custom views, and filters. It also provides detailed reports and insights, including conversation, agent, and CSAT reports.
Chatwoot is ideal for businesses of all sizes, from small startups to large enterprises, looking for a flexible and scalable customer support solution. With its open-source nature, Chatwoot has a strong community of contributors and users who can provide support and guidance.
So why choose Chatwoot? It's simple: take control of your customer support experience with an open-source platform that's customizable, scalable, and community-driven.
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π§ Channel: https://t.me/GithubRemodular design with Python serving as the control plane for strategy logic, configuration, and orchestration. The engine is asset-class-agnostic and supports multiple venues and instruments, including crypto exchanges, traditional markets, and betting exchanges.
Key features include fast and reliable execution, portable deployment on Linux, macOS, and Windows, and customizable components for user-defined systems. The engine also supports backtesting with historical data and live execution with identical strategy implementations.
NautilusTrader is suitable for professional traders, researchers, and institutions looking for a robust and flexible trading engine. With its advanced features and modular design, it provides a solid foundation for building high-performance trading systems.
In short, NautilusTrader is the ultimate trading engine for those who demand speed, reliability, and flexibility - take your trading to the next level with NautilusTrader.
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π§ Channel: https://t.me/GithubReAgent TARS is a general multimodal AI Agent stack that brings the power of GUI Agent and Vision into your terminal, computer, browser, and product. It ships with a CLI and Web UI for usage.
The key features of Agent TARS include a one-click out-of-the-box CLI, hybrid browser agent, event stream, and MCP integration.
To use Agent TARS, you can launch it with npx @agent-tars/cli@latest or install it globally with npm install @agent-tars/cli@latest -g.
UI-TARS-desktop is ideal for developers and users looking to leverage the power of multimodal AI agents.
One-liner takeaway: Experience the future of AI interaction with TARS, where human-like task completion meets seamless integration with real-world tools.
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π§ Channel: https://t.me/GithubRe/grill-me and /grill-with-docs, that help align developers with the agent and ensure a shared understanding of the project.
To get started, simply run the skills.sh installer and follow the prompts to set up the skills. The skills are divided into categories, including engineering and productivity, and can be invoked by the user or the agent. The repository also includes a setup-matt-pocock-skills skill to configure the repository for the engineering skills.
The skills in this repository are designed to address common problems in software development, such as misalignment between the developer and the agent, verbosity, and poor code quality. By using these skills, developers can improve the design of their code and reduce software entropy.
In short, the mattpocock/skills repository provides a set of powerful tools to help developers work more efficiently and effectively with coding agents. Take control of your development process and try these skills out - your codebase will thank you!
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π§ Channel: https://t.me/GithubRegetting started guide, usage guide, and information on building from source.
From a technical standpoint, the project is built using the Iced GUI library and is designed to be privacy-focused, with no collection or transmission of user data. The only external connections are GET requests to GitHub for fetching the package list and checking for updates.
The project is suitable for advanced Android users looking to optimize their devices, as well as developers interested in contributing to the project. The community is active, with a Discord guild and Matrix bridge available for real-time communication and support.
Other projects, such as Canta and AppManager, integrate with or depend on UAD-ng's data and tools, making it a valuable resource for the Android community.
In a nutshell, the Universal Android Debloater Next Generation is a game-changer for Android users seeking to reclaim control over their devices - debloat, declutter, and dominate your digital space.
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π§ Channel: https://t.me/GithubRe