Eel VS moviepy

I gave up a long time ago attempting to write GUIs in pure python. I've come back to them periodically to see if the landscape has changed, but I'm always disappointed.

My current go-to python GUI solution is to use the Eel library. It renders GUIs in a web-browser like window with HTMl/CSS/JS.It lets you expose your python functions to JavaScript, so data can be easily transferred back and forth between the python and the JavaScript. And since it's just web-dev, it's pretty easy to make things look and feel good enough. Any other web-dev libraries like bootstrap and jquery can be used. It works pretty well for writing GUIs that put data analysis tools in front of my colleagues.

https://github.com/python-eel/Eel

Eel was used to implement the app and communication with the web interface.

If you don't want a web-app, you can still use JS for GUI, using something like python-eel https://github.com/python-eel/Eel

Oh nice, it was abandoned for quite a while, at least for the duration i used it, which led me to move my app to flask.

Similar to https://github.com/python-eel/Eel but that one is semi-abandoned. I did one internal tool with eel and it's pretty handy for such tools. Yours could be the future/supported alternative ;)

Hey HN! We’re building Revideo (https://github.com/redotvideo/revideo), an open source toolkit that lets you programmatically create and export videos with the animation library Motion Canvas (https://github.com/motion-canvas/motion-canvas). This is useful whenever you want to build apps that automate certain video tasks, which is increasingly possible using AI tools - for instance, one of our first users is building an app that turns code documentation into video tutorials.

Revideo extends Motion Canvas with features that are essential for creating video, such as the ability to export audio tracks, a nodejs package for headless, parameterized & much faster rendering, and audio components that make audio editing and syncing easier. While Motion Canvas aims to be a standalone editor [1], we want to build a set of libraries that lets developers integrate video editing functionality into their apps. Our goal is to provide an open-source alternative to Remotion (https://github.com/remotion-dev/remotion).

At the start of this year, we explored a bunch of product ideas in the space of AI-based video creation. For example, we’ve built apps that automatically create educational short videos and have experimented with automatically A/B testing and personalizing video ads.

While building these products, we were frustrated with the video editing frameworks we used: Moviepy (https://github.com/Zulko/moviepy), which we relied on initially, doesn’t offer a way to preview your videos, so we’d often have to wait minutes for a video to render to test our code changes. Remotion (https://github.com/remotion-dev/remotion), which we switched to later, is really good, but we didn’t want to rely on it as it is not open source (source-available only). That’s why we decided to build Revideo.

We’d already been following Motion Canvas for some time and really liked using it, so we thought that extending it would get us to something useful much faster than building an animation library from scratch. Initially, we tried to build our features as Motion Canvas plugins, but this did not provide enough flexibility to achieve the desired functionality. Additionally, video-specific features (such as audio support) were generally considered out of scope by the Motion Canvas maintainers, which is why we ultimately ended up creating a fork. We’re unsure if this is the right way to go in the long term, and would prefer to find a way to build Revideo without diverging from Motion Canvas too much - if you have suggestions on how to solve this, we’d love your input.

Compared to Remotion, which builds on top of React, Motion Canvas uses the HTML Canvas API and makes you define animation flows with generator functions. Its API is more “procedural”, as it makes you define the things that happen in your animation as a sequence of yields, whereas Remotion gives you a frame number and lets you declare how your video should look like at that frame.

Our current focus is improving the open source project. In the long term, we want to make money by building a rendering service for developers building apps with Revideo. Such a service would offer a pretty similar deployment experience to Vercel, but instead of web apps, we let developers deploy Revideo projects and expose a rendering endpoint for them. Letting us manage the infrastructure will allow us to offer much faster rendering, as we can massively parallelize rendering jobs on our servers (e.g. spinning up 100 headless browsers that render 100 frames each to render a video with 10,000 frames).

We’d love to hear your feedback and suggestions! You can find our repo at https://github.com/redotvideo/revideo, We’ve also released an example video editing app at https://github.com/redotvideo/revideo-saas-template. Thank you!

[1] “Motion Canvas is not a normal npm package. It's a standalone tool that happens to be distributed via npm.” - https://github.com/orgs/motion-canvas/discussions/1015

Python has become a popular programming language for different applications, including data science, artificial intelligence, and web development. But, did you know creating and rendering fully customized videos with Python is also possible? At Stack Builders, we have successfully used Python libraries such as MoviePy, SciPy, and ImageMagick to generate videos with animations, text, and images. In this article, we will look closer at how Python can be used for video generation and explore some of the powerful libraries and tools that make it possible.

Moviepy was used to connect video and audio track.

This app leverages these powerful libraries: - yt-dlp: video downloader - moviepy: video trimmer/merger - click: CLI app creator - rich / rich-click: CLI app styler

MoviePy - A Python library used for video editing. The bot is using this library to create the video compilation by merging the clips obtained from Twitch.

Now that all individual clips have an overlay, the next step is to concatenate them. The MoviePy library offers the concatenate_videoclips function, which, when used on an array of MoviePy clip objects, returns a single clip composed of all the other clips played one after another. Using the method='compose' parameter ensures that if the clips have different resolutions, MoviePy will resize them to result in a seamless final product.

With the clips downloaded, the next step is to merge them into a single video. I used the MoviePy Python library. The editing process involves three steps:

This is just gonna be taken out of the project, don't want to share the whole project, but you should get the idea from this. I used moviepy ( https://zulko.github.io/moviepy/ ):