Analyze and visualize data by building data flow graphs
Enso (YC S21) lets you analyze, visualize, and automate data processing simply by connecting visual components together. It is powered by a new generation visual programming language, that you can extend with Java, JavaScript, R, and Python (more coming soon).
Hey Product Hunt Community, Enso co-founders, Wojciech and Sylwia here! @mwseibel thanks for hunting us! 😨 THE PROBLEM Data analysts still waste up to half of their time on repetitive manual work that can be automated [1]. To give one example, a company we're working with hires hundreds of business users who use Excel to define data quality rules. These get manually translated to SQL, then manually translated to Python. This is not only error-prone, it’s so slow that it takes them 90 days to int
THIS IS SO COOL!!!!! I can't wait to use it :)
Probably the slickest data analysis tool I have seen for many years. Extremely exciting. Well done @wojciech_danilo and team!
I followed them since they were called Luna back in the days and recently tried out Enso. Super promising project and excited to see how it will develop while doing YC. Keep it up!
How do you see someone deciding to use Enso over an analytics tool they already have affinity for (for example Power BI)?
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.