GitHub awesome-list trending data shows AI categories surging
The patrickclery/awesomer repository aggregates star-velocity metrics across curated awesome-lists. The October 8 2026 snapshot reveals which developer-focused collections are gaining traction and which are plateauing. Seven-day, thirty-day, and ninety-day deltas expose short-term hype cycles versus sustained community interest.
Top awesome list still commands largest audience
The flagship awesome list holds 516,327 stars with a seven-day gain of 3,299. It serves as a meta-index linking to awesome lists about all kinds of interesting topics. Pull requests remain paused while the maintainer addresses a backlog.
AI agent and open-source AI lists sweep top ten
Nine of the ten fastest-growing repositories this week belong to AI-themed categories. The awesome-agent-skills list, anchored by the skills repository, leads with 280,464 stars and a seven-day surge of 7,101. Awesome Open Source AI claims the next eight spots: Agent-Reach at 93,805 stars plus 6,777, impeccable at 78,455 plus 5,215, orca at 87,547 plus 4,816, ECC at 275,204 plus 4,800, archify at 79,606 plus 4,079, VoiceStudio at 54,932 plus 3,933, hyperframes at 58,879 plus 3,884, and ai-engineering-from-scratch at 65,724 plus 3,474. The concentration signals heavy developer focus on agent frameworks and open-weight model ecosystems.
Self-hosting interest remains strong
awesome-selfhosted ranks second overall with 324,786 stars and a 1,712-star weekly increase. The list catalogs free network services and web applications suitable for personal server deployment. Its steady growth reflects ongoing demand for data sovereignty and infrastructure control.
Claude ecosystem lists climb rapidly
awesome-claude-skills reaches 76,694 stars with a 419-star weekly gain. awesome-claude-code hits 55,236 stars and adds 355. These lists track skills, resources, and tooling for Anthropic's Claude models and the Claude Code agent. The velocity suggests rapid adoption of Claude-specific workflows among developers.
Niche categories show steady small gains
awesome-mcp-servers collects 95,921 stars and adds 183. awesome-osint reaches 30,033 stars with 181 new stars. awesome-github-profile-readme holds 31,287 stars and gains 61. Awesome AI Agents sits at 30,298 stars with 61 new stars. These specialized lists serve security researchers, profile customizers, and agent builders respectively.
Developer tooling lists maintain consistent pace
awesome-nodejs grows 60 stars to 67,030. awesome-docker adds 43 to 36,984. awesome-machine-learning climbs 38 to 74,544. awesome-shell gains 38 to 37,741. awesome-neovim picks up 34 to 21,468. awesome-cto adds 33 to 35,563. awesome-tunneling increases 25 to 21,926. Awesome local LLM gains 24 to 2,941. awesome-actions adds 22 to 28,294. awesome-arr collects 21 to 4,393. awesome-cli-apps picks up 16 to 20,507. awesome-ai-in-finance adds 15 to 6,645. awesome-zsh-plugins gains 11 to 18,052. awesome-nestjs adds 9 to 13,167. awesome-vite and awesome-ruby each add 5 to 17,266 and 14,167 respectively. These categories form the backbone of daily development workflows.
Emerging and specialized lists
awesome-opensource-email at 1,225 stars plus 4. awesome-playwright at 1,589 plus 4. awesome-db-tools at 5,322 plus 2. awesome-linux-containers at 2,104 plus 1. awesome-postgres at 12,108 plus 1. Awesome Immich at 18 plus 1. awesome-tailwindcss at 15,194 plus 1. Awesome-Linux-Software holds 25,625 with no weekly change. These lists serve focused communities around email infrastructure, browser automation, database operations, container runtimes, PostgreSQL tooling, photo management, CSS frameworks, and Linux desktop software.
Next.js resources list dips slightly
awesome-nextjs drops five stars to 11,101. The list aggregates books, videos, and articles about the Next.js full-stack framework. The negative delta may reflect a mature ecosystem with fewer new submissions rather than declining relevance.
How teams can use star-velocity signals
Engineering leads can treat seven-day deltas as leading indicators of community momentum. Sustained ninety-day growth suggests durable adoption. A cluster of AI-agent lists at the top signals where experimental tooling is concentrating. Self-hosted and local-LLM categories point to practical deployment concerns. Teams evaluating new dependencies should cross-reference star velocity with issue activity and release cadence for a fuller picture.
Data methodology and refresh cadence
The awesomer project pulls star counts directly from GitHub across a curated set of awesome-list repositories. Updates occur regularly; this snapshot reflects October 8 2026. Three timescales let readers distinguish viral spikes from long-term trends. The raw data and live dashboard remain accessible at the project repository.