ptpython VS bpython

Compare ptpython vs bpython and see what are their differences.

bpython

bpython - A fancy curses interface to the Python interactive interpreter (by bpython)
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ptpython bpython
17 15
5,043 2,549
0.9% 1.3%
6.7 6.4
12 days ago 3 months ago
Python Python
BSD 3-clause "New" or "Revised" License GNU General Public License v3.0 or later
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.

ptpython

Posts with mentions or reviews of ptpython. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-15.

bpython

Posts with mentions or reviews of bpython. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-12.

What are some alternatives?

When comparing ptpython and bpython you can also consider the following projects:

Jupyter Notebook (IPython) - Multi-user server for Jupyter notebooks

ipython - Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

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

jupyter_console - Jupyter Terminal Console

upm - ⠕ Universal Package Manager - Python, Node.js, Ruby, Emacs Lisp.

Spyder - Official repository for Spyder - The Scientific Python Development Environment

juno-lang - Juno Language Repository

xonsh - :shell: Python-powered, cross-platform, Unix-gazing shell.

LIPS - Scheme based powerful lisp interpreter in JavaScript

ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️