We're open-source! The data-centric sibling of VS Code
Tags: opensource, datascience, nlp, python
Published: 2022-07-18 09:53:00

## Hello, open-source world!
We have been working tirelessly towards this day for a long time. Finally, we can say that Kern refinery goes [open-source](https://github.com/code-kern-ai/refinery), and we celebrate this with our version 1.0!

There are three main reasons why we decided to do that step:

**Community**
We strive to create a community of like-minded devs who want to participate in the movement toward data-centric AI.

**Innovation**
We want to drive innovation through collaboration. Open-source software provides a faster response time to current market needs.

**Transparency**
It is important to us that the access and individualization of our software are possible for all of our users.

So as of today, you can pip install kern-refinery on your machines to download and run our application.

![pip install kern-refinery](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/s7a5tltcobvouj3aoz5d.png)

Now that we've finished our open-source go-live, we are looking forward to working towards those three goals every day.

Our work towards the release was mainly put into - again - three areas:

**New UI and improved UX**
You might have noticed that our app has a new look. We did several user tests, rebranded our app, and went for the following look:

![refinery UI](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/fhx8ptyl66eynr1u6iga.png)

Also, we integrated some features that make it easier to play around with the data from a programmatic point of view, such as the record IDE:


![Record IDE](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/xgvj890psl7860tzt7vn.png)

You can check out those things in our guide.

What do you think of the new UI look? Let us know, we're excited about your feedback!

**Extended documentation and use cases**
We've put extra effort into everything related to your first impression and first successes of using Kern refinery. And what's super important for that is documentation and use cases. You can now not only find more insights in this very documentation but can also find hands-on examples on [YouTube](https://www.youtube.com/channel/UCru-6X24b76TRsL6KWMFEFg), on our [GitHub](https://github.com/code-kern-ai), and on our community spaces ([discussion forum](https://github.com/code-kern-ai/refinery/discussions) and [Discord](https://discord.com/invite/qf4rGCEphW)).

**Architectural changes**
Lastly, with an open-source release, we wanted to improve our architectural design. We've spent lots of effort on refactoring services and making sure that we can quickly iterate on your product feedback and ideas. In total, we've spent now more than 18 months on this very application, from initial design to the first MVP and now version 1.0 - but of course, we are still only getting started to build the data-centric development environment specifically designed to help data scientists in building great AI models. Help us, and we'll make sure to continue building something people love!


![refinery architecture](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/jxy8j1r8bvj2vsztdyy2.png)

To stay up-to-date with everything, make sure to subscribe to our [newsletter](https://www.kern.ai/resources/newsletter), and don't forget to give us a star on [GitHub](https://github.com/code-kern-ai/refinery). We couldn't be more excited for the future!