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GitHub Trends
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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
Show moreThe country is not specifiedTechnologies & Applications11 526
π Analytical overview of Telegram channel GitHub Trends
Channel GitHub Trends (@githubtrending) in the English language segment is an active participant. Currently, the community unites 10 807 subscribers, ranking 11 526 in the Technologies & Applications category.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 10 807 subscribers.
According to the latest data from 10 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 225 over the last 30 days and by 12 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 5.72%. Within the first 24 hours after publication, content typically collects 3.13% reactions from the total number of subscribers.
- Post reach: On average, each post receives 618 views. Within the first day, a publication typically gains 338 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 linux, workflow, setup, claude, command.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βSee 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/katursisβ
Thanks to the high frequency of updates (latest data received on 11 June, 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 Technologies & Applications category.
10 807
Subscribers
+1224 hours
+597 days
+22530 days
Posts Archive
10 811
#python #apm #crash_reporting #crash_reports #csp_report #devops #django #error_logging #error_monitoring #fair_source #hacktoberfest #monitor #monitoring #python #sentry #tag_production
Sentry is a tool for developers to track and fix errors in their applications quickly. It helps you see what's going wrong and why, so you can solve problems faster and learn more about your app. Sentry supports many programming languages and platforms, making it easy to use no matter what you're working with. This saves you time and effort, allowing you to focus on improving your application instead of searching for errors.
https://github.com/getsentry/sentry
10 811
#cplusplus #deep_learning #deep_neural_networks #distributed #machine_learning #ml #neural_network #python #tensorflow
TensorFlow is a powerful tool for machine learning that helps you build and deploy AI applications easily. It was developed by Google and is now open source, meaning anyone can use and contribute to it. TensorFlow provides tools, libraries, and a strong community to support your work. You can install it using Python with a simple command like `pip install tensorflow`, and it supports various devices including GPUs. This makes it versatile for researchers and developers alike, allowing you to push the boundaries of machine learning and create innovative applications.
https://github.com/tensorflow/tensorflow
10 811
#shell #ai #containers #inference_server #llamacpp #llm #podman #vllm
RamaLama is a tool that makes working with AI models easy by using containers. It checks your system for GPU support and uses CPU if no GPU is found. RamaLama uses container engines like Podman or Docker to run AI models, so you don't need to configure your system. You can pull and run AI models from various registries with simple commands, and it supports multiple types of hardware including CPUs and GPUs. This makes it convenient for users as they don't have to set up complex environments, and they can interact with different models easily.
https://github.com/containers/ramalama
10 811
#python
Oumi is a powerful, open-source platform that helps you build, train, and deploy large foundation models easily. It supports a wide range of models, from small to very large ones, and works with both text and multimodal data. With Oumi, you can train models on your laptop or scale up to cloud platforms like AWS, Azure, and GCP. It also offers tools for data preparation, model fine-tuning, evaluation, and efficient deployment using optimized inference engines.
The benefit to you is that Oumi simplifies the entire process with ready-to-use recipes and a consistent API, saving you time and effort. It's also highly flexible and reliable, making it suitable for both research and production environments. Plus, being open-source means you have full control and no vendor lock-in.
https://github.com/oumi-ai/oumi
10 811
#typescript #digital_signature #document_signing #docusign_alternative #e_signature #esign #esignature #next_auth #nextjs #open_source #pades_standard #pdf #pdf_sign #pdf_signature #postgresql #prisma #self_hosted #signing #typescript
Documenso is an open-source alternative to DocuSign, allowing you to sign documents digitally in a secure and transparent way. You can self-host it, which means you have full control over how it works and can review the code. This builds trust because you aren't relying on a third-party provider. Joining the community helps in creating a more open and trustworthy signing tool. You can test it locally, provide feedback, and even contribute to its development. This gives you flexibility and control over your document signing process.
https://github.com/documenso/documenso
10 811
#python #bili23 #bilibili #bilibili_downloader #crawler #linux #macos #python #videodownloader #windows #wxpython
The Bili23 Downloader GUI is a tool that lets you download videos, anime, movies, and documentaries from Bilibili on Windows, Linux, and macOS. It supports various types of links, including user uploads, series, live streams, and short links. You can customize video quality and audio settings before downloading. The program also offers features like multi-threaded downloads, resume from where you left off, and error retry. This tool is free and open-source under the MIT License, making it easy to use for personal purposes without any commercial use.
https://github.com/ScottSloan/Bili23-Downloader
10 811
#typescript #bot #hacktoberfest #shopping
This tool is the easiest and most powerful way to check stock levels for items you want. It runs 24/7, continuously checking if the items are available. When an item is in stock, it can add it to your cart and even open the browser for you. You'll also get notifications on your devices if you're not at your computer. This helps you never miss out on buying the items you need, saving you time and effort. To start using it, visit the website and follow the simple setup instructions.
https://github.com/jef/streetmerchant
10 811
#cplusplus #webassembly
WABT (WebAssembly Binary Toolkit) is a set of tools that help you work with WebAssembly files. It includes tools like `wat2wasm` to convert text format to binary, `wasm2wat` to convert back, and others like `wasm-interp` to run WebAssembly binaries, `wasm-decompile` to turn binaries into readable code, and `wasm2c` to convert WebAssembly to C code. These tools are useful for developers who need to manipulate, test, and analyze WebAssembly files. They ensure full compliance with the WebAssembly specification and are designed for easy integration into other systems, making your development process more efficient and accurate.
https://github.com/WebAssembly/wabt
10 811
#python
Meridian is a tool that helps you understand how your marketing efforts affect your business. It uses statistical analysis to measure the impact of different marketing channels on your revenue and other key performance indicators (KPIs). This tool is privacy-safe and doesn't use personal user data. With Meridian, you can answer important questions like how much return you got from your marketing investments and how to optimize your future marketing budget. It provides clear insights and visualizations to help you make better business decisions. To use Meridian, you need Python 3.11 or 3.12 and a GPU for faster results. The benefit to you is that Meridian helps you make informed decisions about your marketing budget, ensuring you get the best possible return on your investments.
https://github.com/google/meridian
10 811
#python
This tool is a web interface for generating text using large language models. It supports multiple models like Transformers, llama.cpp, and ExLlamaV2, and you can easily switch between them without restarting. It offers features like automatic prompt formatting, different chat modes, and the ability to save and switch between past conversations. You can also customize text generation with various sampling parameters and use extensions for additional functionality. The installation is straightforward, and you can run it locally or even on Google Colab. This makes it easy to generate text efficiently and flexibly, benefiting users by providing a user-friendly and powerful text generation platform.
https://github.com/oobabooga/text-generation-webui
10 811
#rust #beginner_friendly #featured #finance #hacktoberfest #high_performance #open_source #orchestration #payments #postgresql #redis #restful_api #rust #sdk #works_with_react
Hyperswitch is an open-source payments platform that helps businesses manage payments easily. It uses a single API to access various payment methods and features, making it simple to integrate different payment flows like cards, wallets, and bank transfers. The platform includes a backend for seamless payment processing, an SDK for unified payment experiences across web and mobile, and a Control Center for managing payments without coding. You can try Hyperswitch by setting it up locally or deploying it on cloud services like AWS, GCP, or Azure. This platform is designed to be reliable, secure, and customizable, allowing businesses to own and tailor their payment stack according to their needs.
https://github.com/juspay/hyperswitch
10 811
#go #adrive #backup #linux #macos #sync #windows
This tool is a command-line client for Aliyun Pan, similar to Linux shell commands. It supports multiple platforms like Windows, macOS, Linux, Android, and iOS. You can use it to download and upload files, sync your local and cloud files, and even batch download photos and videos from your album.
The benefits include Works on various operating systems.
- **Sync and backup** Supports JavaScript plugins to customize upload and download behaviors.
- **Efficient downloads** Includes commands like `ls`, `cd`, `mkdir`, `upload`, and `download` for easy file management.
Overall, it makes managing your Aliyun Pan cloud storage more efficient and flexible.
https://github.com/tickstep/aliyunpan
10 811
#go #bubbletea #go #go_musicfox #mpris #music #musicbox #musicfox #netease_cloud_music #netease_music #netease_musicbox #unblockneteasemusic
go-musicfox is a command-line music client for NetEase Music, written in Go. It supports various audio qualities, UnblockNeteaseMusic, Last.fm, MPRIS, and macOS interactions like sleep pause and Bluetooth headphone responses. The UI is customized using [charmbracelet/bubbletea](https
- **Multiple Audio Qualities** It integrates with Last.fm for scrobbling and MPRIS for media player controls.
- **MacOS Interactions** The interface is customizable and user-friendly.
- **Cross-Platform Compatibility**: Available for macOS, Linux, and Windows.
This tool makes managing and playing music from NetEase Music convenient and feature-rich, especially for users who prefer a command-line interface.
https://github.com/go-musicfox/go-musicfox
10 811
#typescript #docs #works_with_codespaces
You can help improve GitHub's documentation in several ways. You can fix typos, update links, or make other small changes by clicking the "Make a contribution" button on any page. For more involved contributions, you can set up a local environment or use Codespaces. If you have bigger ideas, open an issue using the appropriate template. This helps ensure the documentation is accurate and helpful for everyone. By contributing, you become part of the GitHub Docs community and help make the platform better for all users.
https://github.com/github/docs
10 811
#rust
Codename Goose is an open-source AI agent that helps you with more than just code suggestions. You can install, run, edit, and test it with any Large Language Model (LLM). It's free to use under the Apache 2.0 license. The benefit to you is that it's highly customizable and can be integrated with various tools, making your coding and testing process easier and more efficient. You can find detailed instructions and documentation to get started easily.
https://github.com/block/goose
10 811
#python #deepseek #deepseek_r1 #fine_tuning #finetuning #gemma #gemma2 #llama #llama3 #llm #llms #lora #mistral #phi3 #qlora #unsloth
Using Unsloth.ai, you can finetune AI models like Llama, Mistral, and others up to 2x faster and with 70% less memory. The process is beginner-friendly; you just need to add your dataset, click "Run All" in the provided notebooks, and you'll get a faster, finetuned model that can be exported or uploaded to platforms like Hugging Face. This saves time and resources, making it easier to work with large AI models without needing powerful hardware. Additionally, Unsloth supports various features like 4-bit quantization, long context windows, and integration with tools from Hugging Face, making it a powerful tool for AI model development.
https://github.com/unslothai/unsloth
10 811
#jupyter_notebook #amazon_bedrock #amazon_titan #bedrock #embeddings #generative_ai #knowledge_base #langchain #rag
This repository provides pre-built examples to help you get started with Amazon Bedrock, a service for working with generative AI. You can learn the basics of Bedrock, how to craft effective prompts, implement AI agents, import custom models, and more. It also includes guides on responsible AI use, productionizing workloads, and improving model observability. To use these examples, ensure you have the necessary AWS IAM permissions and follow the detailed instructions in each folder. This resource helps you quickly and effectively use Amazon Bedrock for various AI tasks, making it easier to integrate generative AI into your projects.
https://github.com/aws-samples/amazon-bedrock-samples
10 811
#typescript #chat_application #chrome_extension #localllm #ollama #open_source
Page Assist is a browser extension that lets you use your local AI model from any webpage. It works on browsers like Chrome, Brave, Edge, and Firefox. Hereβs how it helps you:
- You can open a sidebar or a new tab to interact with your AI model.
- You can ask questions about the content of the webpage you're on.
- It doesn't collect personal data and stores everything locally.
This makes it easy to get help from your AI model while browsing the internet, all without sharing your data.
https://github.com/n4ze3m/page-assist
10 811
#python #digital_products #fastapi #lemon_squeezy #merchant_of_record #mor #nextjs #paddle #payments #polar #python #react #saas #sponsor #stripe #subscriptions #turborepo #typescript
Polar is an open-source platform that helps developers sell their digital products and subscriptions easily. You can set up sales for things like GitHub repositories, Discord support channels, and file downloads in just a few minutes. Polar handles the complicated parts like billing, receipts, and taxes, so you can focus on your work. It has a simple pricing plan of 4% + 40Β’ per transaction with no monthly fees. You can also integrate Polar into your projects using their API and SDKs for languages like JavaScript and Python. This makes it easier for you to monetize your creations without the hassle of managing payments yourself.
https://github.com/polarsource/polar
10 811
#csharp
DLSS Swapper is a tool that helps you download, manage, and switch different versions of DLSS (Deep Learning Super Sampling) files in your games. This means you can upgrade or downgrade DLSS without waiting for a game update. It doesn't add DLSS to games that don't already support it, and it might not always improve performance or fix issues, but it gives you the flexibility to try different versions to see what works best for you. You can get the tool from the GitHub releases page and share your experiences on Reddit. This tool is useful because it lets you experiment with different DLSS versions to potentially improve your gaming experience.
https://github.com/beeradmoore/dlss-swapper
