@githubtrending
GitHub Trends
Telegram channel @githubtrending: 11.7K subscribers, 689 views per post, score 44
- 11.7K
- Subscribers
- 689
- Median views over 30 days
- 5.9%
- Views / subscribers over 30 days
- 56
- Posts over 30 days
Data as of October 2, 2026
catalog description About the channel, by its author
Overview
Written automatically from the channel's data, updated 31 August 2026. The numbers in this text are as of that date; the fresh ones are in the tiles above.
GitHub Trends covers trending projects from GitHub: short rundowns of developer tools across Python, Go, TypeScript, Swift, PHP and other languages. Based on recent post previews, each entry follows the same pattern — what a repo does and why it might be useful — tagged by language and topic, covering everything from static code analysis to OSINT tools and robot simulators.
The channel posted 20 times over 30 days, above the Development category median of 15, so it publishes more often than a typical channel in this niche. Engagement sits at 4.5% ER against a category median of 7.6%, meaning readers interact noticeably less than the category norm. Subscriber count is 11,396, below the category median of 18,538.
Over the 13-day observation window subscribers grew by 111 and average views rose by 12 — modest but positive movement. The channel's Place Score is 54.
It suits readers who want a quick scan of fresh open-source projects rather than in-depth analysis — the format is built for speed, not discussion.
Common questions
- What is the @githubtrending channel about?
- The channel posts short summaries of trending GitHub projects across multiple programming languages, explaining what each tool does. Posts are tagged by language and topic.
- Is advertising pricing available for GitHub Trends?
- The owner hasn't published advertising pricing yet. You can reach out to them directly on Telegram.
- How many subscribers?
- Subscribers: 11.7K. Median views per post: 689. Views per subscriber: 5.9%. Measured on October 2, 2026.
- How often are posts published?
- Posts in the last 30 days: 56 — that is several times a day. Measured on October 2, 2026.
- Does this channel have a Telegram tick?
- No Telegram tick.
- Who runs this channel page in the catalog?
- Nobody yet. If this is your channel, claim the page: you will be able to reply to reviews and see its stats.
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| What it is made of | |
|---|---|
| Engagement | 3.1 of 30 |
| Growth quality | 20 of 20 |
| Reactions and forwards | 6.3 of 15 |
| Consistency | 4 of 12 |
| Trust | 3.9 of 8 |
| Reviews | not enough datano reviews yet |
Score 44 — from 5 of 6 signals: the rest are not measured yet. Methodology
Latest posts
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- #python #agent_framework #agentic #agentic_ai #agents #ai #ai_agents #anthropic #autonomous_agents #bedrock #generative_ai #harness #llm #llm_agent #mcp #multi_agent_systems #openai #python #sdk #strands_agents #typescript Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
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- #c_lang #syntax_highlighting Notepad3 is a free, small, and fast text editor for Windows with syntax highlighting, code folding, search and replace, bookmarks, dark mode, and support for many file types and languages. It is portable, so you can run it from a USB drive without installing it. This helps you edit text or code quickly, stay organized, and carry your settings with you wherever you go. github.com/rizonesoft/Notepad3
- #python #ai #ai_agents #ai_tools #ai_video #ai_video_editor #auto #auto_highlight #highlight #llm #video #video_editing #video_processing #videos AutoClip is a tool that downloads videos from YouTube and Bilibili, then uses AI to find the best parts, cut clips, and make collections. It has a web app, real-time progress updates, and easy Docker or one-click setup. This helps you save time, turn long videos into useful highlights, and manage clips more easily. github.com/zhouxiaoka/autoclip
- #typescript json-render lets AI turn prompts into safe, predictable user interfaces using only the components and actions you allow. It works across React, Vue, Svelte, Solid, React Native, and more, with tools for streaming, state, and built-in UI parts. This helps you build custom screens faster, keep control over output, and reuse the same setup for web, mobile, video, PDFs, emails, and other formats.
github.com/…
https://github.com/vercel-labs/json-render - #python Set up Python 3.12 with Anaconda, create and activate a Conda environment named `cs146s`, install Poetry, then run `poetry install` in the project folder. This gives a ready-to-use course setup with the right Python version and all needed packages, so you can start assignments with less setup trouble.
github.com/…
https://github.com/mihail911/modern-software-dev-assignments - #jupyter_notebook #cluster_management #deep_learning #distributed #llama #llama2 #llm #machine_learning #mlops #pytorch Higgsfield is a tool for training huge AI models on many GPUs with less setup pain. It helps manage computers, split work across nodes, queue runs, and track experiments, so you can train faster, avoid environment problems, and keep your work more reproducible.
github.com/…
https://github.com/higgsfield-ai/higgsfield
The channel in numbers
- Created
- November 27, 2016
- Photos
- 0
- Videos
- 0
- Links
- 16K
Telegram data as of October 2, 2026
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