distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
Triage Issues!
When you volunteer to triage issues, you'll receive an email each day with a link to an open issue that needs help in this project. You'll also receive instructions on how to triage issues.
Triage Docs!
Receive a documented method or class from your favorite GitHub repos in your inbox every day. If you're really pro, receive undocumented methods or classes and supercharge your commit history.
Python not yet supported38 Subscribers
Add a CodeTriage badge to distributed
Help out
- Issues
- Consider using object pools for internal state keeping
- Get more informative timeout variable names or clarify them in the comments
- Implement module upload plugin (#8698)
- Allow exceptions that fail pickle deserialisation to be easily identified downstream.
- Scheduler should not be considered idle while a client submits new work
- Attempting to view details of a key held by a worker results in a 404
- Client submit with workers doesn’t handle new joining workers correctly
- Memory leak when submitting futures
- Remove ``defaults`` conda channel from CI
- `Client.compute(df)` operates on larger task graphs than `df.compute()`
- Docs
- Python not yet supported