tablesaw

Always great to see efforts to make working with data frames easier. Here are some similar data frame libraries for Java: https://github.com/jtablesaw/tablesaw https://github.com/dflib/dflib My preferred way is just use duckdb java API. I didn't see anything better in performance/efficiency. Also a SQL query is often easier to write

Burntsushi mentions in the readme that it is often the case that people receive large csv files needing analysis but he also mentions that valid criticisms of the tool are that you could use an SQL database. Why can't you use a database in some scenarios? And when blazing in memory speed is useful, why can't you use something like this: https://github.com/jtablesaw/tablesaw Is XSV faster? Is it the command line convenience (although surely it was not that convenient to write a new tool to do it) Genuinely curious and I do not mean to belittle the project as it looks well implemented and useful nonetheless.

I work on an open source project with a small community. https://github.com/jtablesaw/tablesaw I want a place for our users to hold discussions, ask questions, etc, that aren't bug reports or feature requests. We'd be lost at Stack Exchange, as the community is too small. I'm looking for an app like Discourse that is integrated with github. I've used gitter on other projects, and found the endless stream format awkward. What do you use for your projects? The only 'must haves' are sign-on-with-github-account, and asynch communications.

The core looks close enough to dataframes that I'd be curious to know how you compare to tablesaw: https://github.com/jtablesaw/tablesaw This looks neat but I'm not sure why I would care about this. There's a ton of solutions out there in the ecosystem out there already with a columnar like interface. Granted, we wrote our own as well[1] that uses the builder pattern that you then toss to an executor (our main backend is spark for this). One reason we wrote this is for persistence purposes. Being able to encode and persist a series of transforms that you can then load remotely has been very helpful for us in machine learning. We've since migrated this project to the eclipse foundation and intend on doing a rewrite of the interface as well as integrate our baked in tensor library[2] in to certain parts of the pipeline for speed purposes an