deep-translator VS react-native-vision-camera

deep-translator to translate your CLI input

The API is based on the deep-translator python package (https://github.com/nidhaloff/deep-translator).

It is one tool that supports multiple translators and therefore, very easy and convenient to use.

If you want to check the code, here is the link to the repo: https://github.com/nidhaloff/deep-translator-api

For years now, I have been developing and maintaining the deep-translator package.

Feel free to check the GitHub repo here

To keep short, I contribute regularly to open source and about a year ago I started working on deep-translator (https://github.com/nidhaloff/deep-translator). Honestly, I didn't expect so much success but it amazed me that the package is being downloaded ~55k per day (statistics from PyPI https://pepy.tech/project/deep-translator).

- deep-translator: https://github.com/nidhaloff/deep-translator which has ~ 3 million downloads and being used by many people recently.

Last year I built deep-translator https://github.com/nidhaloff/deep-translator

I wanted a tool where multiple translators are integrated and where I can get translations from different sources but only using one tool. I then tried to build a cross platform mobile app using python (which is not the best language for this, I know) https://github.com/nidhaloff/Translator-pp

Probably the best project I built/started last year is the machine learning package igel: https://github.com/nidhaloff/igel

Take a look at https://github.com/cuvent/react-native-vision-camera

VisionCamera: A library that provides access to the platform- native camera APIs from JavaScript and even includes a engine/system to run frame processing (AI, AR, ...) straight from JavaScript by spawning a secondary JavaScript runtime with synchronous access to native functions.

yes it is. It's fully open source (github), and you can find the frame processor documentation here

As always, images make it more appealing to look at. I'm always using images with shadows and frames around them, (see this repo) but not sure if this will work for a database. If there is a really important core feature you could quickly highlight this in an "Overview" section with a codeblock. Other than that, try centering the header.

Link to the library's GitHub repo

My problem is, that it simply doesn't find the Interface Header, so I can't import it. Here is my PR with a little bit more description and the code.