electron-react-boilerplate VS leftonread

For a swift and efficient setup, I began by cloning the Electron-React Boilerplate. This boilerplate provided a pre-configured combination of Electron and React, along with Redux and Webpack, setting a solid foundation for the project. This choice allowed me to focus on building the unique features of my application, leveraging the boilerplate's stable and community-tested framework.

If I had to guess I'd say roughly 110 of those are since the installer relies on Electron React Boilerplate... That's what we get for using web technologies for desktop apps (despite the fact they do not need to be cross-platform nor accessible)

Ostara is based off of electron-react-boilerplate and uses electron-builder to package the application.

Have a look at Electron React Boilerplate.

Im trying to install usb-detection on my electron js project using electron-react-boilerplate . I get the following error due to the post install script and cant get passed it for running or packaging the app.

I everyone. I am using Electron react boilerplate and I have successfully added tailwindcss to the project. However, I am struggling to get the Prettier plugin tailwindcss to work. I’ve tried following the instructions in the readme but no luck. I’ve tried moving my prettier.config.js to the .erc/config dir with no luck either.

I also came to recommend the erb framework since it makes getting the initial app up fairly quick and painless.

Hi guys I'm using this electron-react boilerplate https://github.com/electron-react-boilerplate/electron-react-boilerplate and I want to use sqlite3 with it. The problem is I dont have the idea on how to implement it, I've been looking online for guides to follow but it's so confusing and doesn't work. What I want is the database can be access in development and production. Any help will be appreciated thanks.

We used Electron React Boilerplate and met the lead maintainer in-person thanks to this project!

Left on Read is an open-source iMessage analyzer for Mac Desktop that I helped build. Learn your top words, emojis, group chats, contacts, and relive your funniest messages. We also built a "Your Year in Texts" experience (think 'Spotify Wrapped' for iMessage). No data ever leaves your computer and we are proudly open-source: https://github.com/Left-on-Read/leftonread

The app is free to try, but in order to keep the lights on, we charge $2.99/month for premium features (such as filtering and sentiment analysis charts).

Left on Read works by copying the chat.db sqlite file on your Mac found at ~/Library/Messages. This is why we need request full disk access. We then run queries on it and display graphs with react chart.js.

We've happily seen a lot of people entertained by our app thanks to some viral Reddit and Tik Tok posts that we've done.

We built this project for fun, so thanks for your support and any feedback is welcome.

I get your concern. We take privacy and security super super seriously, which is why the app is entirely open-source. In other words, you can see all the code that the app uses. Let me know if any more questions: https://github.com/Left-on-Read/leftonread

The short answer: the electron app itself took about 1.5 months with two people working on it full-time to get to a “minimum awesome product” state. Our Github contribution graph would probably tell the most accurate story.

Ah, so I filter out traditional stop words - all the code for this is open-source and can be downloaded as a Desktop app found here.

To visualize this data, I used my own app, Left on Read. My friend and I ended up reworking the original web-based platform into an open-sourced desktop app that runs offline - security & privacy first! You can check out the code here on Github

This project is a ton of fun, so wanted to share! Using Electron, React, Typescript, and sqlite, I built an open-source Desktop app that analyzes iMessages and curates a Spotify wrapped-like experience. You can download it here or check us out on github. Let me know if any qs. It’s entirely open-source and we do not store your data. The beauty of a Desktop app: the data never leaves your computer!