distributed
A distributed task scheduler for Dask (by dask)
mpire
A Python package for easy multiprocessing, but faster than multiprocessing (by sybrenjansen)
| distributed | mpire | |
|---|---|---|
| 3 | 8 | |
| 1,543 | 1,910 | |
| 0.6% | 1.5% | |
| 9.6 | 7.5 | |
| 1 day ago | 9 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
distributed
Posts with mentions or reviews of distributed.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-17.
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Shuffling large data at constant memory in Dask
Thanks, if you give it a try, you can share your experience in this GitHub issue, where developers are collecting info for further improvements. https://github.com/dask/distributed/discussions/7509
- Great forward progress on squashing cluster deadlocks
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Dask – a flexible library for parallel computing in Python
I would not recommend Dask. We use it just for simple job scheduling (that is, none of its fancy data structures) and run into issues just getting the work done efficiently. This issue, for instance, keeps the cluster from actually being utilized fully: https://github.com/dask/distributed/issues/4501. I feel like I'm on crazy pills, because it seems pretty serious yet it's gotten no attention.
mpire
Posts with mentions or reviews of mpire.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-11.
- GitHub - sybrenjansen/mpire: A Python package for easy multiprocessing, but faster than multiprocessing
- Mpire: A Python package for easier and faster multiprocessing
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Which not so well known Python packages do you like to use on a regular basis and why?
mpire for multiprocessing.
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How do you deal with parallelising parts of an ML pipeline especially on Python?
https://github.com/Slimmer-AI/mpire is a nice lib, with better performance than multiprocessing.
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Dask – a flexible library for parallel computing in Python
Shout out to an alternative to Dask: MPIRE https://github.com/Slimmer-AI/mpire
- Multi-Threading in Python
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I'd like to introduce MPIRE: MultiProcessing Is Really Easy
After several iterations of feedback and exposure to production environments, it is now the go-to multiprocessing library at Slimmer AI. Recently, we’ve made it publicly available on GitHub (https://github.com/Slimmer-AI/mpire).
What are some alternatives?
When comparing distributed and mpire you can also consider the following projects:
cunumeric - An Aspiring Drop-In Replacement for NumPy at Scale
Dask - Parallel computing with task scheduling
legate.pandas - An Aspiring Drop-In Replacement for Pandas at Scale
cudf - cuDF - GPU DataFrame Library
tdigest - t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark
pathml - Tools for computational pathology
go-micro - A Go microservices framework
FindTheMag - A tool to determine optimal projects for Gridcoin crunchers. Maximize your magnitude!
DataProfiler - What's in your data? Extract schema, statistics and entities from datasets
pyroute2 - Python Netlink and PF_ROUTE library — network configuration and monitoring