Splitgraph

Hey Product Hunt! @mildbyte and I are super excited that after nearly two years of development, we're finally ready to share Splitgraph with the world. We hope that you'll find it truly innovative and cool. Our main goal with Splitgraph is to make data science workflows as enjoyable as their software engineering counterparts. Tools like Git and Docker are ubiquitous in any software engineer’s workflow, and we took a lot of inspiration from them when designing Splitgraph. We thought about why people like and use these tools, and tried to translate their benefits to the domain of data science. Our core philosophy is to stay out of the way, and work with existing abstractions instead of introducing new ones. Splitgraph can enhance your workflow while providing an easy path to incremental adoption, so you can use it where and when it makes sense. Splitgraph is powered by Postgres, and provides an easy way to build and share versioned datasets, along with a whole bunch of other benefits. We encourage you to read the landing page which (hopefully) explains it well. The documentation goes into much more detail, and if you have ten minutes and Docker installed, you can try Splitgraph for yourself. To give you a head start, we've indexed over 40,000 government datasets. If you know any SQL, you can start playing with them immediately, using the tools you already know. We hope you like it, and that you'll join us as we continue to iterate. :)