UForm
Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaV…
Video editing with Python
moviepy is an open-source video project by Zulko (Zulko/moviepy on GitHub). It has 14,945 GitHub stars and 2,114 forks, is released under the MIT license, and was last updated on GitHub on 26 August 2026.
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.
Built on Python, so it plugs into the wider data and ML tooling ecosystem.
Handles video end to end — ingest, process, and export.
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.
Download the source and move into the project folder.
git clone https://github.com/Zulko/moviepy.git
cd moviepyEvery 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 Zulko/moviepy with 2,114 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
MP4/H.264, WebM, ProRes, and image sequences are the common denominators — check each tool's docs.
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.
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Free and open — grab the source, star the repo, and start creating.