stack_data VS cheap_repr

Compare stack_data vs cheap_repr and see what are their differences.

cheap_repr

Better version of repr/reprlib for short, cheap string representations in Python (by alexmojaki)
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stack_data cheap_repr
2 1
39 21
- -
5.8 10.0
8 months ago over 2 years 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.

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
    20 projects | news.ycombinator.com | 7 Jan 2023
    - 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
    18 projects | news.ycombinator.com | 12 Jan 2022
    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.

cheap_repr

Posts with mentions or reviews of cheap_repr. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-07.

What are some alternatives?

When comparing stack_data and cheap_repr you can also consider the following projects:

mercury - Convert Jupyter Notebooks to Web Apps

sync-message