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LogoutDask (Dataframe) is not fully compatible with Pandas, but it’s pretty close. These close ties mean that Dask also carries some of the baggage inherent to Pandas. Vaex deviates more from Pandas (although for basic operations, like reading data and computing summary statistics, it’s very similar) and therefore is also less constrained by it.
Ultimately, Dask is more focused on letting you scale your code to compute clusters, while Vaex makes it easier to work with large datasets on a single machine. Vaex also provides features to help you easily visualize and plot large datasets, while Dask focuses more on data processing and wrangling.