fluent
Python wrapper for stdlib (and other) objects to give them a fluent interface. (by dwt)
pypely
From local functions to cloud deployed pipelines (by stoney95)
| fluent | pypely | |
|---|---|---|
| 1 | 3 | |
| 59 | 16 | |
| - | - | |
| 0.0 | 2.9 | |
| about 2 years ago | about 1 year ago | |
| Python | Python | |
| ISC License | GNU General Public License v3.0 only |
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.
fluent
Posts with mentions or reviews of fluent.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-10.
-
Easy, readable data processing in functional manner using pypely
Yes it works with MPP engines as the package is not used for orchestration purposes. It is meant to encourage a coding paradigm: functional programming. The benefit of the package is that it provides functions that make it easy to apply functional programming to data processing tasks. Similar projects with a different focus are: fluentpy and Pipe
pypely
Posts with mentions or reviews of pypely.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-10.
- Use pypely for readable and testable data transformation
-
Easy, readable data processing in functional manner using pypely
The main benefit of using pypely is that you are encouraged to use functional programming in python and by this produce a clean and easy readable and testable code base.
What are some alternatives?
When comparing fluent and pypely you can also consider the following projects:
Pipe - A Python library to use infix notation in Python
celery - Distributed Task Queue (development branch)
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.
kombu - Messaging library for Python.