distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Unique keys runs slow with time
- Scattered data pickles on the client but fails to pickle on evict()
- Segmentation fault on CI
- Cannot spin up Client in a subprocess if a Client/LocalCluster was initialized in the parent process
- Possible memory leak when using LocalCluster
- Context-manager progress bar for distributed tasks
- broken repr in ipython 8 w/ ipywidgets installed
- Add the ability to display a cluster "name" on the Dashboard status page
- LocalCluster and dask-worker CLI default behaviour for n_workers and threads_per_worker isn't documented clearly.
- test suite intermittently closes with no further output from pytest (os._exit in old_ssh)
- Docs
- Python not yet supported