← Back to context Comment by orf 4 years ago How does this compare to Dask? 2 comments orf Reply N1H1L 4 years ago I think they are decently well enough integrated now. Rather than starting a dask cluster, you can run dask on a Ray clusterhttps://docs.ray.io/en/master/dask-on-ray.html ghiaadev 4 years ago Dask itself (and its commercial entity Coiled) seems to be investing heavily in the PyData/ml library ecosystem. I feel like it's about time until they reach feature parity, which would be a huge win for existing users of the PyData stack.
N1H1L 4 years ago I think they are decently well enough integrated now. Rather than starting a dask cluster, you can run dask on a Ray clusterhttps://docs.ray.io/en/master/dask-on-ray.html
ghiaadev 4 years ago Dask itself (and its commercial entity Coiled) seems to be investing heavily in the PyData/ml library ecosystem. I feel like it's about time until they reach feature parity, which would be a huge win for existing users of the PyData stack.
I think they are decently well enough integrated now. Rather than starting a dask cluster, you can run dask on a Ray cluster
https://docs.ray.io/en/master/dask-on-ray.html
Dask itself (and its commercial entity Coiled) seems to be investing heavily in the PyData/ml library ecosystem. I feel like it's about time until they reach feature parity, which would be a huge win for existing users of the PyData stack.