p_tqdm
Parallel processing with progress bars (by swansonk14)
pyDag
Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag (by Wittline)
p_tqdm | pyDag | |
---|---|---|
1 | 2 | |
438 | 24 | |
- | - | |
0.0 | 0.0 | |
12 months ago | over 1 year ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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.
p_tqdm
Posts with mentions or reviews of p_tqdm.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Need Help With Multiprocessing or Multithreading or whatever it's called
I avoid dealing directly with multiprocessing and asyncio unless absolutely necessary. I find I can parallelize a lot of tasks simply with the p_tqdm library which abstracts a lot of that away. Just be careful with it as it makes copies of anything you feed into it to get around the GIL.
pyDag
Posts with mentions or reviews of pyDag.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-15.
-
Data Engineering Projects for Beginners
Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag
- How to build a DAG based Task Scheduling tool for Multiprocessor systems using python
What are some alternatives?
When comparing p_tqdm and pyDag you can also consider the following projects:
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.
distance-metrics - Distance metrics are one of the most important parts of some machine learning algorithms, supervised and unsupervised learning, it will help us to calculate and measure similarities between numerical values expressed as data points
better-ffmpeg-progress - A Python package that allows you to run an FFmpeg command & see percentage progress, ETA, etc.
docker-livy - Dockerizing and Consuming an Apache Livy environment
pqdm - Comfortable parallel TQDM using concurrent.futures
livyc - Apache Spark as a Service with Apache Livy Client