This library enables users to upload datasets, define problems, and automatically receive and customize visualization proposals, powered by AI.
Main Features: - Automatic generation of visualization proposals using LLMs - Customization of visualizations (e.g., titles, axes, types of graphs) - Real-time dataset summarization with numeric and categorical column details - Interactive filtering options for refining visualizations - Support for a wide range of visualizations: scatter plots, line charts, bar charts, histograms, boxplots, and more - Export visualizations and data to various formats (PNG, JSON, CSV) - Built with Streamlit for interactive web-based usage
License-File: LICENSE Author: fatmachahed Author-email: fachahed@gmail.com Requires-Python: >=3.8 Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.8 Classifier: Programming Language :: Python :: 3.9 Classifier: Programming Language :: Python :: 3.10 Classifier: Programming Language :: Python :: 3.11 Classifier: Programming Language :: Python :: 3.12 Classifier: Programming Language :: Python :: 3.13 Classifier: Programming Language :: Python :: 3.14 Requires-Dist: python-dotenv (>=1.2.1,<2.0.0) Description-Content-Type: text/markdown
## Visualisation with LLM
Metadata
Release files for interactive-visualisation-with-llm 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| interactive_visualisation_with_llm-0.1.0.tar.gz | 9.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| interactive_visualisation_with_llm-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.5 kB
Release files / interactive_visualisation_with_llm-0.1.0.tar.gz
| Download URL | interactive_visualisation_with_llm-0.1.0.tar.gz |
|---|---|
| Size | 9.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
1b07608e68b12b8764dfe7d100255a7db88fc11b4329dedc133a7625bde3ee24
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BLAKE2b-256 checksum How to use checksums |
0d3d2cf7be687362febc9325ade630010f805fa7c74b3f2a7be062a0bfdafdfa
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.3.1 CPython/3.13.1 Windows/11
|
Release files / interactive_visualisation_with_llm-0.1.0-py3-none-any.whl
| Download URL | interactive_visualisation_with_llm-0.1.0-py3-none-any.whl |
|---|---|
| Size | 11.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
f5e666228fe176372b2cc79548f8f1520a47ebce226dce108ff2bbe8ad65cb99
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BLAKE2b-256 checksum How to use checksums |
29716e7ed70a36dd2533db7ae9cd5ad4255b1271a7744f9c8e67a13ed59cd0ee
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/2.3.1 CPython/3.13.1 Windows/11
|