| Name | tracernaut JSON |
| Version |
0.1.3
JSON |
| download |
| home_page | None |
| Summary | Interactive code execution and memory visualization for Python in Jupyter |
| upload_time | 2025-08-14 20:54:25 |
| maintainer | None |
| docs_url | None |
| author | Your Name |
| requires_python | >=3.7 |
| license | MIT License
Copyright (c) 2025 Laio O. Seman
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE. |
| keywords |
visualization
execution
tracing
debugging
jupyter
education
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# 🧠tracernaut — Visualize Python Execution Like Never Before
[](https://pypi.org/project/tracernaut/)
[](https://pypi.org/project/tracernaut/)
[](LICENSE)
> An intelligent, interactive visualizer for step-by-step Python code execution and memory tracing.
> Built for students, educators, and curious minds.
---
## 🚀 What is Tracernaut?
**Tracernaut** is a pedagogical tool that captures and **visually traces the execution** of Python code — including variable states, memory references, object relationships, and the call stack — using rich, annotated diagrams.
It turns abstract Python behavior into something **visible**, **intuitive**, and **beautifully structured**.
---
## 📸 Example
```python
from tracernaut import tracernaut
@tracernaut
def example():
a = [1, 2, 3]
b = {'x': a, 'y': 4}
a.append(5)
return b
example()
```
This opens an interactive widget (in Jupyter) that lets you step through each line and visualize changes in memory, objects, variables, and control flow.
Raw data
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