DataSpell DataFrame Preview vs pandas‑profiling: Which Avoids Memory Leaks for Large Datasets?
When repeatedly inspecting large pandas DataFrames in DataSpell, the built‑in preview keeps a reference to the original object until the tab is closed, potentially causing a memory leak. An alternative is to generate a static report with an external library such as pandas-profiling , which does not rely on DataSpell’s in‑memory viewer. The main constraint is
pandas
dataspell