For now, pygwalker kernel computation uses sql + duckdb for data queries. Another approach might be using the native pandas API for all those computations. Benefits of this implementation include:
Test and switch to different high-performance dataframe library, like modin, polars.
It would be even better for the community if developers could customize their own query engines.
For now, pygwalker kernel computation uses sql + duckdb for data queries. Another approach might be using the native pandas API for all those computations. Benefits of this implementation include:
It would be even better for the community if developers could customize their own query engines.
DEV-1122