tqdm VS Box

Compare tqdm vs Box and see what are their differences.

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tqdm Box
33 12
27,211 2,348
1.2% -
7.3 2.9
14 days ago 6 months ago
Python Python
GNU General Public License v3.0 or later 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.

tqdm

Posts with mentions or reviews of tqdm. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-25.

Box

Posts with mentions or reviews of Box. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-02.

What are some alternatives?

When comparing tqdm and Box you can also consider the following projects:

rich - Rich is a Python library for rich text and beautiful formatting in the terminal.

alive-progress - A new kind of Progress Bar, with real-time throughput, ETA, and very cool animations!

bidict - The bidirectional mapping library for Python.

dataclasses

DottedDict - Python library that provides a method of accessing lists and dicts with a dotted path notation.

CUTIE - Command line User Tools for Input Easification

enlighten - Enlighten Progress Bar for Python Console Apps

progressbar - Terminal-based progress bar for Java / JVM

fastprogress - Simple and flexible progress bar for Jupyter Notebook and console

Ruby/Progressbar - Ruby/ProgressBar is a text progress bar library for Ruby.

panel - Panel: The powerful data exploration & web app framework for Python

Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).