2026 年 10 月 5 個值得收藏的熱門開源 GitHub 專案
5 Trending Open-Source GitHub Repos Worth Bookmarking (October 2026)
作者整理了 2026 年 10 月在 GitHub 快速累積星數的 5 個開源專案,涵蓋 Android TV 清理、DeepSeek 推理框架、智能體生成説明圖、文書處理及 3D CAD。
October 2026 produced a burst of new open-source projects that climbed GitHub quickly. This is a short, practical tour of five of them. For each repo you get what it does, a realistic use case, the primary language and the star count as of 2026-10-30. These projects are weeks old, so treat them as promising rather than battle-tested.
Gathin23/cleanyourtv
Primary language: Python. Stars: ⭐ 46.5k (as of 2026-10-30).
CleanYourTV strips bloatware from an Android TV or Google TV over Wi-Fi and replaces the ad-heavy home screen with a clean, Apple TV-style launcher. The repo ships a pure-Python ADB client, scripts to apply and undo a debloat list, and a prompt you can hand to a coding assistant. Its README says it can't run on Samsung, LG or Roku sets, and that on Fire TV only the debloat half works.
Practical use case: clean up a relative's TV in an afternoon. Keep the restore script handy, because debloating can break features and restoring is the safety net.
Link: https://github.com/Gathin23/cleanyourtv
deepseek-ai/DeepInfer
Primary language: Python. Stars: ⭐ 24.5k (as of 2026-10-30).
DeepInfer is the inference framework DeepSeek says powers its large-scale production services, released under Apache 2.0. The open release currently supports DeepSeek-V4.1-Flash and focuses on offline inference. It includes batch-invariant inference, which keeps results identical across different batch compositions. Pieces such as a cache system and load balancing across machines are not included, so it isn't a complete serving stack yet.
Practical use case: read the code and docs to learn how a production inference engine is structured, or benchmark it against the stack you run today.
Link: https://github.com/deepseek-ai/DeepInfer
wheresryan22/anatomy
Primary language: JavaScript. Stars: ⭐ 23.0k (as of 2026-10-30).
Anatomy is an MIT-licensed agent skill. You describe a technical idea and your coding agent builds an interactive isometric SVG figure of an invented machine that explains it. It can add WebGL effects, and it installs with a single skills CLI command for agents including Claude Code, Codex and OpenCode.
Practical use case: produce explainer visuals for documentation, a launch post or a teaching session without hand-drawing every part.
Link: https://github.com/wheresryan22/anatomy
storytold/wordcraft
Primary language: Rust. Stars: ⭐ 16.7k (as of 2026-10-30).
WordCraft is a clean-room word processor written in pure Rust with a familiar ribbon workflow, tables, track changes and mail merge. It works with DOCX as well as ODT, RTF, HTML and Markdown, and runs on desktop platforms and in the browser. The project describes itself as alpha, and it exposes a command-line tool and an MCP server for headless document work.
Practical use case: edit documents offline without a cloud account, or script document generation from an agent. Keep backups while it matures.
Link: https://github.com/storytold/wordcraft
tangency-labs/solidcraft
Primary language: Rust. Stars: ⭐ 12.3k (as of 2026-10-30).
SolidCraft is a parametric 3D CAD application in pure Rust. You sketch, constrain and extrude, and the feature timeline rebuilds when you change a parameter. It runs on the desktop and in the browser, reads and writes STEP, IGES and STL among other formats, and includes an MCP server so AI agents can model with it. It is dual-licensed under MIT or Apache-2.0.
Practical use case: design a parametric enclosure for a 3D print, then change a dimension and let the model rebuild.
Link: https://github.com/tangency-labs/solidcraft
How we picked these
Criteria: repositories created in October 2026 that are open source, have a clear purpose, and showed up in verified GitHub data with strong star growth. Each was checked against its own GitHub page. The list is ordered by GitHub stars, using exact counts from the GitHub API as of 2026-10-30. Stars measure attention, not quality or security, so review the code and licence before relying on any of these. I skipped repos with no description or unclear purpose, and others whose purpose raised licensing or legal questions.
Sources
- https://github.com/Gathin23/cleanyourtv
- https://cybernews.com/security/smart-tv-debloating-movement-cleanyourtv-explodes-on-github/
- https://github.com/deepseek-ai/DeepInfer
- https://thenextweb.com/news/deepseek-deepinfer-open-source-inference-engine
- https://github.com/wheresryan22/anatomy
- https://github.com/storytold/wordcraft
- https://github.com/tangency-labs/solidcraft
來源:DEV Community · dev.to