distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Resource scheduling bug: Scheduler allows over-allocation by ignoring worker's current resource usage
- Add ForwardLoggingPlugin and ForwardOutput to built-in worker plugins documentation
- Documentation / type hinting for `Future.status`
- `Client.register_plugin` inferred as NoReturn
- LocalCluster does not respect n_workers and threads_per_worker
- Forward `multiprocessing.current_process().authkey` to workers
- documentation not updated following #3029
- LocalCluster fails to spawn requested number of workers (capped at 5 workers on Windows)
- Add `Condition` class
- Allow min worker queue length of 0
- Docs
- Python not yet supported