One of my favorite OSS projects! Probably the most flexible and fully featured distributed SQL query engine around. Congrats and looking forward to the next decade!
Stripe tax makes life so much easier for european companies, that would otherwise have to keep track of tax rates and payments per EU country under the OSS ruling.
Just launched a tool that we use to manage some (internal) projects.
The idea is to have something that can be used more easily at the project stage where things are still unstructured (as opposed to more structured tools like Trello).
We use it mostly as a 'meta' store to link to other online documents, design files, or just pieces of text (GFM supported), so that they don't get lost and are easy to find later on.
For now only a free version is available, but depending on traction we'll add a paid plan with more file storage and larger uploads per file.
Thanks! Will do some more user testing with the navigation to see if some things can be ironed out.
The main API runs fully in the browser and is JS based with JSX for visualization and displaying components like charts, lists, tables, etc. By using JS it also keeps it accessible for a wide audience to quickly put something together.
The ML/AI plugins are called from the JS api and run on a VM that currently only supports Python, with the usual libraries such as scikit-learn, etc. In the near future we'll add more languages and libraries.
While I worked on consumer products in the past and used tools for analytics like Mixpanel, GA, or Amplitude, I often hit their limitations in terms of flexibility.
That meant eventually resorting to exporting data and doing the manual analysis while juggling between multiple products, and needing a paid subscription for each of them.
So I've decided to build Stormly to overcome these limitations.
Stormy is a platform that allows you to use existing ML/AI-based components to quickly put together solutions adjusted to your needs using a developer friendly JS/JSX api. This makes it not only extremely powerful but also flexible and shareable.
With Stormly, you can also dig into your data without any limitations, specify custom user properties, use custom SQL, and use/create custom plugins like forecasting, prediction models, and much more.
We hope you like what we've done here and are excited to hear your feedback!
Thanks for the writeup! I've been following Crystal for a few years now, and am mostly interested in seeing how it will continue to develop with regard to parallelism.
