legate.pandas
An Aspiring Drop-In Replacement for Pandas at Scale (by nv-legate)
mpire
A Python package for easy multiprocessing, but faster than multiprocessing (by sybrenjansen)
legate.pandas | mpire | |
---|---|---|
1 | 8 | |
72 | 1,912 | |
- | 1.6% | |
0.0 | 7.5 | |
over 2 years ago | 5 days ago | |
C++ | Python | |
Apache License 2.0 | 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.
legate.pandas
Posts with mentions or reviews of legate.pandas.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-17.
-
Dask – a flexible library for parallel computing in Python
I see they also have have pandas replacement: https://github.com/nv-legate/legate.pandas. How is it different from cuDF?
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 legate.pandas 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