Show HN: Open-source, browser-local data exploration using DuckDB-WASM and PRQL
11–20 of 84 posts
Re: Show HN: Open-source, browser-local data exploration using DuckDB-WASM and PRQL
#12this is great, thanks for sharing I'm currently using a self hosted instance of lightdash connected to a dbt project and I can see this being really efficient for data exploration for business users quite interesting!
Happy to chat at prasoon [at] withpretzel [dot] com if you need any integration help!
Re: Show HN: Open-source, browser-local data exploration using DuckDB-WASM and PRQL
#13Re: Show HN: Open-source, browser-local data exploration using DuckDB-WASM and PRQL
#14We're a sales tech startup and I've had to look through large CSVs with prospecting information in the past - anything over 10 MB crashes my browser. I use a Mac so I don't have Excel. This looks great for simple data manipulations. I tried out a large CSV I had, and it loaded without a problem.
Quick bug report: The filter interface seems to be slow for me though with the large file. Also, one feature that would be really helpful would be connecting this to a database and also some way to share my workflow/analysis.
Re: Show HN: Open-source, browser-local data exploration using DuckDB-WASM and PRQL
#15Neat. I did a similar thing for analysing the output of commands that can produce JSON (SLURM in this case). Worked pretty well but I immediately ran into PRQL's lack of support for DuckDB's struct types.
As a result, I'll be adding support for PIVOTs very soon, either in the main repo or just in a temporary fork.
Re: Show HN: Open-source, browser-local data exploration using DuckDB-WASM and PRQL
#16Nice to see DuckDB-Wasm get some love Curious from the pure performance point of view whether you have performed any benchmarking against any of the alternatives for this sort of in-browser data work?
We'll definitely need to figure out (a) what's the right thing to measure, and (b) an automated testing/CI to check for regressions and do perf testing
Re: Show HN: Open-source, browser-local data exploration using DuckDB-WASM and PRQL
#17Just tried it out - thanks for sharing. We're a sales tech startup and I've had to look through large CSVs with prospecting information in the past - anything over 10 MB crashes my browser. I use a Mac so I don't have Excel. This looks great for simple data manipulations. I tried out a large CSV I had, and it loaded without a problem. Quick bug report: The filter interface seems to be slow for me though with the larg…
Re: Show HN: Open-source, browser-local data exploration using DuckDB-WASM and PRQL
#18Just tried it out - thanks for sharing. We're a sales tech startup and I've had to look through large CSVs with prospecting information in the past - anything over 10 MB crashes my browser. I use a Mac so I don't have Excel. This looks great for simple data manipulations. I tried out a large CSV I had, and it loaded without a problem. Quick bug report: The filter interface seems to be slow for me though with the larg…
I wasn't sure whether you could query DBs directly from the browser but looks like you can! (https://github.com/alexanderguy/pgress) - will add it to roadmap!
Re: Show HN: Open-source, browser-local data exploration using DuckDB-WASM and PRQL
#19Oh man this is cool. I don't really have much feedback tbh I just think this awesome. I can see myself using this as a handy little utility when data sets get a bit too big for Google Sheets. In terms of it being a product, things I can think of that would be useful to me. - Importing/exporting data from Google Sheets/Google Drive. - Scheduling queries to run and export etc. Not sure if that really aligns to this spe…
That's great feedback, thanks! This tool definitely comes from a place of personal need - beyond just handling large files, I've also never really gelled well with the Excel/Google Sheet model of changing data in place as if you were editing text. I'm a Data Scientist and always preferred the chained data transforms you see in things like dplyr ( https://dplyr.tidyverse.org/ ) or Polars ( https://pola.rs/ ) and I fee…