We got tired of navigating and analyzing large survey datasets in spreadsheets. They are objectively terrible when it comes to a lot of real world data (i.e. long column titles, multi-select/tag results, etc.). So we built AddMaple. It offers a visual-first approach to exploratory data analysis as an alternative to the slower, implicitly biased formula-first approach. Starting with interactive chart summaries of all columns supercharges the entire analysis experience.
We were also tired of slow cloud based tools. A large number of datasets that people analyze can easily fit in your laptop’s memory, but simple “count” or “group” operations take seconds because of the round trip to the server.
AddMaple is a browser based tool that uses web workers and a highly optimized columnar in-memory datastore to make exploring data deliciously fast. We have sophisticated column type detection, merging and grouping algorithms to enable zero-setup explorable dashboards - with instant pivoting and filtering. Users can share interactive charts on Slack or embed them in Notion where they can be viewed as charts or tables, toggled between count and percentages etc.
You can import data from CSV, SPSS, JSON files or from Typeform, Survey Monkey or Google Drive. We don’t store the data, we simply read it into your browser's memory. A 150MB CSV is loaded (and analyzed) in seconds.
Try it out in this explorable report we produced in just a few minutes from the Stackoverflow 2023 survey data: https://addmaple.com/featured/stackoverflow-2023-report
Or create a free account and load your own dataset here: https://addmaple.com
We are a bootstrapped team gearing up for a “proper” launch, whatever that is, and would love/seriously appreciate your feedback.
