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Top 23 Python Parallel Projects
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Ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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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 ☁️🚀
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entangle
A lightweight (serverless) native python parallel processing framework based on simple decorators and call graphs.
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🚀 IPpy
:rocket: Ping IP addresses and domains in parallel to find the accessible and inaccessible ones. (by shivammathur)
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AutoParaSelenium
A library to make concurrent selenium tests that automatically download and setup webdrivers
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22. Ray | Github | tutorial
yeah my code needs to use multiprocessing, which does not play nice with tqdm. thanks for the tip about positions though, that helped me search more effectively and came up with two promising comments. unmerged / require some workarounds, but might just work:
https://github.com/tqdm/tqdm/issues/1000#issuecomment-184208...
Project mention: Optuna – A Hyperparameter Optimization Framework | news.ycombinator.com | 2024-04-06I didn’t even know WandB did hyperparameter optimization, I figured it was a neural network visualizer based on 2 minute papers. Didn’t seem like many alternatives out there to Optuna with TPE + persistence in conditional continuous & discrete spaces.
Anyway, it’s doable to make a multi objective decide_to_prune function with Optuna, here’s an example https://github.com/optuna/optuna/issues/3450#issuecomment-19...
Around the same time, I discovered Numba and was fascinated by how easily it could bring huge performance improvements to Python code.
Project mention: I built a remote file browser and shell connection hub that supports k8s clusters | /r/kubernetes | 2023-06-09Okay I have no idea how to interpret this comment, are you talking about https://parallel-ssh.org/? These two things have not really anything in common
Project mention: I made a Python package to do adaptive sampling of functions in parallel [OC] | /r/compsci | 2023-04-29Yes! Check it out at https://github.com/python-adaptive/adaptive/
Python Parallel related posts
- Optuna – A Hyperparameter Optimization Framework
- Algorithms - Researchers Approach New Speed Limit for Seminal Problem
- How to test optimal parameters
- Optuna – A Hyperparameter Optimization Framework
- Fine-Tuning Llama-2: A Comprehensive Case Study for Tailoring Custom Models
- Ray – an open source project for scaling AI workloads
- FOSS hyperparameter optimization framework to automate hyperparameter search
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Index
What are some of the best open-source Parallel projects in Python? This list will help you:
Project | Stars | |
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1 | Ray | 30,988 |
2 | tqdm | 27,405 |
3 | optuna | 9,640 |
4 | Numba | 9,432 |
5 | pandarallel | 3,489 |
6 | redo | 1,762 |
7 | parallel-ssh | 1,179 |
8 | adaptive | 1,112 |
9 | optuna-examples | 596 |
10 | malib | 460 |
11 | msrsync | 452 |
12 | lithops | 305 |
13 | entangle | 105 |
14 | fast-cma-es | 102 |
15 | behavex | 75 |
16 | 🚀 IPpy | 55 |
17 | eSCAPE | 36 |
18 | pyfuncol | 32 |
19 | fluidml | 19 |
20 | pyeventbus | 17 |
21 | git-pull | 16 |
22 | raffiot.py | 15 |
23 | AutoParaSelenium | 9 |
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