Vidéo
moviepy
Video editing with Python
★ 14,9 k étoilesMIT
Voir le guide →shotcut est un projet de vidéo open source, créé par mltframework (mltframework/shotcut sur GitHub). Il compte 15 337 étoiles sur GitHub et 1 525 forks, il est publié sous la licence GPL-3.0 et a été mis à jour pour la dernière fois sur GitHub le 3 octobre 2026.
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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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.