plumbum
Toolz
| plumbum | Toolz | |
|---|---|---|
| 5 | 23 | |
| 2,752 | 4,521 | |
| - | 0.6% | |
| 6.8 | 3.9 | |
| 4 days ago | 9 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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.
plumbum
-
Diagram as Code
if you liked that, you'll love Plumbum[1] :)
[1] https://github.com/tomerfiliba/plumbum
-
Top python libraries/ frameworks that you suggest every one
plumbum
-
Declarative command line parser library [Heated Arguments]
I wonder if you included plumbum in your comparison. For some reason, my long time favorite module for this (and more) always gets overlooked.
-
NOT-fuzzy line pickers
You'll still have to juggle the input, but when using Python, plumbum offers a solid function for this: choose
-
Pyshell, A Linux Subprocess Module for Python
It's kinda a nice thing. And the few people that need something like this are already using https://xon.sh/ or https://plumbum.readthedocs.io/ or https://ipython.org/ . You can have a look at these projects though. See what works and doesn't to guide the goals of your own project.
Toolz
- Ask HN: How can I get better at writing production-level Python?
-
[DISCUSSION] What's your favorite Python library, and how has it helped you in your projects?
My favourite lib would probably be toolz, it's just so elegant and fun to use. But it's more functional approach is not always the best fit for the time, so in practice I mostly use it in research, prototyping, console and notebooks.
- REBL
-
What are the best ways to learn Python and Pyspark for ML engineering?
I am not new to Python but only used it to write scripts. Should I start a Python book and then a PySpark book or go directly to PySpark? When reading the legacy code, I found there are usages like GitHub - pytoolz/toolz: A functional standard library for Python. I never heard of.
- Toolz: A Functional Standard Library For Python
- Functional python for data process
-
Top python libraries/ frameworks that you suggest every one
toolz is wildly useful https://github.com/pytoolz/toolz
-
Show HN: Koda, a Typesafe Functional Toolkit for Python
Maybe the toolz[0] family would cover your use cases? There is also a Cython implementation if you need better performance.
[0] https://github.com/pytoolz/toolz/
- What're the cleanest, most beautifully written projects in Github that are worth studying the code?
-
Functional programming beyond itertools
You'll probably enjoy toolz.
What are some alternatives?
click - Python composable command line interface toolkit
funcy - A fancy and practical functional tools
Python Fire - Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
fn.py - Functional programming in Python: implementation of missing features to enjoy FP
asynccli - A CLI framework based on asyncio
CyToolz - Cython implementation of Toolz: High performance functional utilities
escape - Simple Terminal Styling for Python
Pyrsistent - Persistent/Immutable/Functional data structures for Python
asciimatics - A cross platform package to do curses-like operations, plus higher level APIs and widgets to create text UIs and ASCII art animations
Coconut - Simple, elegant, Pythonic functional programming.
colorama - Simple cross-platform colored terminal text in Python
returns - Make your functions return something meaningful, typed, and safe!