Dexie.js VS FFmpeg

The word on the street is that https://github.com/rhashimoto/wa-sqlite is nearly production ready, closing in on the neat 1.0.0 release, with its IDBBatchAtomic engine highly recommended at https://www.powersync.com/blog/sqlite-persistence-on-the-web. You can try out the benchmark https://rhashimoto.github.io/wa-sqlite/demo/benchmarks.html.

And the other contestant is Dexie, stable https://dexie.org/.

If you were to branch into a new venture today, which one would you pick? And why?

That said, there are some great ways to wrap IndexedDB to make it easier to work with. Since I’m writing this article I’ll toss in my local-first framework Verdant, which can be used without the sync features as a standalone IndexedDB-powered database with a type-safe schema and deployable data migrations. For a lighter-weight approach, maybe check out Dexie.

Using IndexedDB. I have heard its pretty cumbersome to use. There are wrappers like Dexie.js but I am not sure if it works seamlessly with Tauri or if it is the correct thing for my use case.

I use IndexedDB, specifically the idb library (https://github.com/jakearchibald/idb), or Dexie.js (https://dexie.org/) if you are more novice. This works great for large sets of data. For smaller amounts, Chrome Storage API will do.

To make things easier, Dexie.js provides a straightforward and simplified process of creating databases, storing data, updating data and database migrations, etc., over the top of indexedDB.

If you are just looking for a solution for your IndexedDB needs I find Dexie to be one of the best but depending on other needs, the others in the list are also good to consider.

FFmpeg (https://ffmpeg.org/)

GPL2

Since FFmpeg is GPL2, doesn’t that require CompressX to disclose its source code?

IANAL, apologies if I miss understand license requirements.

https://github.com/FFmpeg/FFmpeg?tab=License-1-ov-file

This turns out to be a lot of assembly macros to help write one x86 assembly. https://github.com/FFmpeg/FFmpeg/blob/master/libavutil/x86/x...

The sibling comment recommending compiler intrinsics is probably the best way to go for writing SIMD code. A mixture of `` style types and intrinsics to specify instructions is a solid 90% solution compared to assembly.

If you want that last 10%, I think macros are putting the emphasis in the wrong place. They're a somewhat easy way to build up a language abstraction which will work if held carefully, but I'm confident the dev experience using this abstraction when you write invalid code will be deeply confusing.

I would suggest to write a parser instead of the macros. That'll tell you clearly when the syntax is invalid (though possibly not with much precision) and it'll give you a place to put semantic analysis for where valid syntax encodes nonsense. Do the equivalent of the macro expansions on the parsed tree instead of on the text. Emit asm as the "back end".

You might have heard of FFMPEG or ImageMagick for image and video edition in a programmatic way. MoviePy is a Python module for video editing (Python wrapper for FFMPEG and ImageMagick). It provides functions for cutting, concatenations, title insertions, video compositing, video processing, and the creation of custom effects. It can read and write common video and audio formats and be run on any platform with Python 2.7 or 3+.

There are many cloud-based tools and websites that can convert your images, but the problem with these tools is that you usually have to upload the files for them to be processed, and some of their services are not free. In this article, I'd like to introduce a piece of software called FFmpeg, which allows you convert the images locally with one simple command.

To run the demo locally, be sure to have Python 3.11 and FFmpeg installed.