Visualisation with LLM
Description
visualisation-with-llm is a library for automatic data visualization generation using Large Language Models (LLMs) like Google Gemini. It helps users upload datasets, define problems, and automatically generate, customize, and export visualizations.
Features
- Automatic Visualization Generation: Leverages LLMs to propose relevant visualizations based on dataset and user problem statement.
- Customization Options: Users can adjust visualization titles, axes, and chart types to meet their needs.
- Interactive Data Filtering: Allows users to filter data by column values before generating visualizations.
- Wide Range of Visualizations: Supports scatter plots, line charts, bar charts, histograms, boxplots, heatmaps, and more.
- Data Summarization: Automatically provides summary statistics of the dataset, including numeric and categorical details.
- Export Options: Users can download visualizations as PNG, datasets as CSV, and configurations as JSON files.
- Streamlit Web Interface: Built with Streamlit for an interactive and user-friendly web-based application.
Installation
To install the package, run:
pip install visualisation-with-llm
Metadata
Release files for visualisation-with-llm 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| visualisation_with_llm-0.1.2.tar.gz | 9.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| visualisation_with_llm-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.9 kB
Release files / visualisation_with_llm-0.1.2.tar.gz
| Download URL | visualisation_with_llm-0.1.2.tar.gz |
|---|---|
| Size | 9.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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poetry/2.3.1 CPython/3.13.1 Windows/11
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Release files / visualisation_with_llm-0.1.2-py3-none-any.whl
| Download URL | visualisation_with_llm-0.1.2-py3-none-any.whl |
|---|---|
| Size | 11.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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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
|