papyri
By jupyter
stack_data
By alexmojaki
| papyri | stack_data | |
|---|---|---|
| 2 | 2 | |
| 81 | 39 | |
| - | - | |
| 9.3 | 5.8 | |
| 16 days ago | 7 months ago | |
| Python | Python | |
| MIT License | 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.
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.
papyri
Posts with mentions or reviews of papyri.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-12.
- Papyri rendered documentation inside IPython/Jupyter
-
Release of IPython 8.0
Yes, bpython is good. I have plans to make the documentation better (https://github.com/jupyter/papyri) but so far I only have a few hours per week I can spend on IPython. Jedi from david halter should also get some love for better completion.
stack_data
Posts with mentions or reviews of stack_data.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-07.
-
Show HN: A 100% free and interactive Python course for coding beginners
- https://github.com/alexmojaki/cheap_repr (not a debugger, but used by the above two as well as directly by futurecoder)
Tracebacks:
- https://github.com/alexmojaki/stack_data (this is also what powers the new IPython tracebacks)
-
Release of IPython 8.0
AST in a more general concept see https://en.wikipedia.org/wiki/Abstract_syntax_tree, it basically turn your text into a tree where f(a) + f(b) is `call(plus, call(f, a), call(f,b))`. Using https://github.com/alexmojaki/stack_data we can say "the error occurred in `a`, while trying to call `f`, while calling `plus`, get the range in the original text and make them yellow.
What are some alternatives?
When comparing papyri and stack_data you can also consider the following projects:
jupyter_console - Jupyter Terminal Console
mercury - Convert Jupyter Notebooks to Web Apps
jupytext - Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
cheap_repr - Better version of repr/reprlib for short, cheap string representations in Python
pgcontents - A Postgres-backed ContentsManager implementation for Jupyter
python_runner - Helper for running python code indirectly
papermill - 📚 Parameterize, execute, and analyze notebooks
sync-message
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
comsync