The author discusses the simplicity and power of using csvbase in conjunction with popular dataframe libraries like Pandas, Polars, and Dask. By leveraging fsspec, csvbase turns any csvbase:// url into a real table and can be used seamlessly with various dataframe libraries without the need for a separate API. The author emphasizes the versatility of fsspec for interacting with different types of storage systems, and introduces csvbase-client as a way to access csvbase data easily. The author also hints at future improvements, including potentially mounting csvbase.com as a filesystem via FUSE. Email the author with feedback or contribute by starring the GitHub projects.
https://csvbase.com/blog/7