lithops
A multi-cloud framework for big data analytics and embarrassingly parallel jobs, that provides an universal API for building parallel applications in the cloud ☁️🚀 (by lithops-cloud)
treequeues
High performance queues for pytree objects. (by thomashirtz)
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| lithops | treequeues | |
|---|---|---|
| 2 | 2 | |
| 306 | 4 | |
| 3.6% | - | |
| 9.5 | 0.0 | |
| 3 days ago | over 1 year ago | |
| Python | 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.
lithops
Posts with mentions or reviews of lithops.
We have used some of these posts to build our list of alternatives
and similar projects.
- Lithops: A multi-cloud framework for embarrassingly parallel jobs
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[D] For those of you who don't own a GPU, how do you run your experiments or train your models?
At work for non-ML/non-GPU stuff I've been using Lithops for running code on dynamically-provisioned cloud resources (serverless or VM). It pickles your code & runtime variables, sends them to cloud storage, runs the code & downloads the results, all relatively transparently. You're just calling Python functions with Python objects on your local computer and not having to worry about deploying your code, packaging your data, etc. Better still, you can scale up for things like hyperparameter sweeps by just dispatching more calls in parallel, and it will provision more resources.
treequeues
Posts with mentions or reviews of treequeues.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing lithops and treequeues you can also consider the following projects:
secrets-env - Extension to the crystal lang ENV module to support reading secrets
aiomultiprocess - Take a modern Python codebase to the next level of performance.
pyspark-on-aws-emr - The goal of this project is to offer an AWS EMR template using Spot Fleet and On-Demand Instances that you can use quickly. Just focus on writing pyspark code.
Plutus - An automated bitcoin wallet collider that brute forces random wallet addresses
Joblib - Computing with Python functions.
PSpider - 简单易用的Python爬虫框架，QQ交流群：597510560
vermin - Concurrently detect the minimum Python versions needed to run code
pax - A stateful pytree library for training neural networks.