動画
moviepy
Video editing with Python
★ 14.9k スターMIT
ガイドを見る →shotcutは、mltframeworkが公開しているオープンソースの動画プロジェクトです（GitHub: mltframework/shotcut）。GitHubスターは15,337、フォークは1,525で、GPL-3.0ライセンスの下で公開されています。GitHubでの最終更新は2026年10月3日です。
cross-platform (Qt), open-source (GPLv3) video editor
Generation, editing, conversion, or capture — match the tool to the job; most of these do one stage brilliantly.
Desktop builds, Docker images, and package-manager installs cover every major OS.
Drop in clips, images, or audio; AI tools may need a model download on first run.
Render to standard formats (MP4, WebM, GIF) ready for any platform.
Scriptable pipelines chew through folders of clips unattended.
Timelines, keyframes, and effects that rival paid suites.
Text-to-video and image-to-video models turn prompts into motion.
FFmpeg-grade codec support handles whatever you throw at it.
Your footage never uploads anywhere; render on your own GPU.
Exports are clean — what you make is yours, with no branding tax.
Download the source and move into the project folder.
git clone https://github.com/mltframework/shotcut.git
cd shotcutEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at mltframework/shotcut with 1,525 forks. Check the repo's contributors and recent commits to see how active maintenance is.
GPL-3.0 — free to use, but derivative works must stay open.
AI generation benefits hugely from one; editors and converters run fine on modest hardware.
Yes — exports carry no watermark and the open licenses let you monetize your work.
For most creator workflows, yes. High-end collaborative post-production still favors the big suites.
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LibreAIカタログに掲載された動画プロジェクトの中で最もスターの多いもの — shotcutが合わなかった場合に検討したい、現実的な候補リストです。
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カタログの中でshotcutとスター数が近い動画プロジェクト — 前後の棚もそのまま見て回れます。
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