---
id: stack-data
version: "0.6.3"
license: MIT
license_treatment: permissive
maintenance: active
---

# stack-data — Extract data from python stack frames and tracebacks for informative displays

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install stack-data
uv add stack-data
poetry add stack-data

## Description

# stack_data

[![Tests](https://github.com/alexmojaki/stack_data/actions/workflows/pytest.yml/badge.svg)](https://github.com/alexmojaki/stack_data/actions/workflows/pytest.yml) [![Coverage Status](https://coveralls.io/repos/github/alexmojaki/stack_data/badge.svg?branch=master)](https://coveralls.io/github/alexmojaki/stack_data?branch=master) [![Supports Python versions 3.5+](https://img.shields.io/pypi/pyversions/stack_data.svg)](https://pypi.python.org/pypi/stack_data)

This is a library that extracts data from stack frames and tracebacks, particularly to display more useful tracebacks than the default. It powers the tracebacks in IPython and [futurecoder](https://futurecoder.io/):

![futurecoder example](https://futurecoder.io/static/img/features/traceback.png)

You can install it from PyPI:

    pip install stack_data
    
## Basic usage

Here's some code we'd like to inspect:

```python
def foo():
    result = []
    for i in range(5):
        row = []
        result.append(row)
        print_stack()
        for j in range(5):
            row.append(i * j)
    return result
```

Note that `foo` calls a function `print_stack()`. In reality we can imagine that an exception...

## AI interpretation — verify before relying

Extracts and formats data from Python stack frames and tracebacks to display richer debugging context, including source lines, variables, and intelligent piece-based grouping.

Verdict: Well-maintained debugging utility with permissive licensing and low install friction. No known vulnerabilities and active repository support. Suitable for production use in error reporting and interactive debugging contexts.

[View on SkillFed](https://skillfed.io/packages/stack-data) · [View on PyPI](https://pypi.org/project/stack-data/)