A Dynamic Table Visualization Tool for Iterative Processes
Project description
BeautyBook
BeautyBook is a lightweight Python class for dynamic, real-time visualization of tabular data in Jupyter and Google Colab notebooks. Designed for iterative workflows like machine learning training loops, it renders a beautifully styled HTML table that updates in-place—no need for manual DataFrame reconstruction or external file writes.
Features
- Real-time Updates: Clean, in-place table rendering using
IPython.display, without cluttering notebook output. - Automatic Indexing: Each entry is auto-numbered for easy tracking.
- Responsive Styling: Column widths adapt to content length using
chunits for optimal readability. - Standalone Class: Fully self-contained—just copy and paste into your notebook.
Installation
BeautyBook is distributed as a single Python class. To use it, simply copy the class definition into a notebook cell:
pip install beautybook
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file beautybook-0.1.2.tar.gz.
File metadata
- Download URL: beautybook-0.1.2.tar.gz
- Upload date:
- Size: 4.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7f72561d60b8f6708e600fd18a5d3eb85bc52de40d5c89775e4d75aa02c91d38
|
|
| MD5 |
146ede9cf357d313064bf5842762a149
|
|
| BLAKE2b-256 |
233e44cb00ff1a3d72e7fb8519718d6db0efee9da6ef13987df7ef5e5d762e58
|
File details
Details for the file beautybook-0.1.2-py3-none-any.whl.
File metadata
- Download URL: beautybook-0.1.2-py3-none-any.whl
- Upload date:
- Size: 4.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2466530908d3e5f0ed719034f51846aca85ac0a23b16db3abc4671c77ffdfc6e
|
|
| MD5 |
d912a866767a862700bd5c1585f7bda9
|
|
| BLAKE2b-256 |
3b148c47bd9dd0d1fb1cdb0cf54c10bc4e149e3c18a0ea6269cceaf490c8404b
|