Name | vizro-ai JSON |
Version |
0.3.6
JSON |
| download |
home_page | None |
Summary | Vizro-AI is a tool for generating data visualizations |
upload_time | 2025-02-26 14:06:06 |
maintainer | None |
docs_url | None |
author | Vizro Team |
requires_python | >=3.9 |
license | None |
keywords |
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bugtrack_url |
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requirements |
No requirements were recorded.
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Travis-CI |
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<h1 align="center">Vizro-AI</h1>
<div align="center" markdown="1">
[](https://pypi.org/project/vizro/) [](https://badge.fury.io/py/vizro_ai) [](https://github.com/mckinsey/vizro/blob/main/LICENSE.md) [](https://vizro-ai.readthedocs.io/) [](https://www.bestpractices.dev/projects/7858)
<picture>
<source srcset="https://raw.githubusercontent.com/mckinsey/vizro/main/.github/images/toolkit_vizro_ai.gif">
<img alt="Gif to demonstrate Vizro-AI" src="https://raw.githubusercontent.com/mckinsey/vizro/main/.github/images/toolkit_vizro_ai_fallback.png" width="600">
</picture>
<p>
<font size="+1">
Vizro-AI is a tool designed for generating data visualizations.
It serves as an extension to Vizro, leveraging natural language capabilities to empower users in creating both charts and dashboards, making it a comprehensive solution for visual data exploration.
</font>
</p>
</div>
## Try out live
| Platform | Chart creation | Dashboard creation |
| ------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| PyCafe | https://py.cafe/app/vizro-official/vizro-ai-charts | |
| Google Colab | [](https://colab.research.google.com/github/mckinsey/vizro/blob/main/vizro-ai/examples/chart_by_vizro_ai.ipynb) | [](https://colab.research.google.com/github/mckinsey/vizro/blob/main/vizro-ai/examples/dashboard_by_vizro_ai.ipynb) |
## Why Vizro-AI?
### Easy-to-use
One of the key strengths of Vizro-AI lies in its natural language capabilities, making it accessible to coding novices. Vizro-AI provides a user-friendly interface that allows to create interactive charts and dashboards while offering detailed insights about the data and the generated code.
### Visually-optimized
Vizro-AI also caters to data practitioners who often find themselves spending more time in formatting rather than actual visualization creation. Vizro-AI enables users to speed up the process of creating visually appealing charts and dashboards by using Vizro's themes which incorporate design best practices by default.
### End-to-End solution
Vizro-AI leverages the power of [Plotly](https://plotly.com/python/) to produce interactive charts and power of [Vizro](https://github.com/mckinsey/vizro) to create interactive dashboards, making it a complete solution for visual data exploration.
## Disclaimer
Please review the [Disclaimer](https://vizro-ai.readthedocs.io/en/latest/pages/explanation/disclaimer/) before using `vizro-ai` package.
## Documentation
For more information, please refer to our [Documentation](https://vizro.readthedocs.io/projects/vizro-ai/).
## Acknowledgment
Vizro-AI is powered by [LangChain](https://github.com/langchain-ai/langchain).
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"description": "<h1 align=\"center\">Vizro-AI</h1>\n\n<div align=\"center\" markdown=\"1\">\n\n[](https://pypi.org/project/vizro/) [](https://badge.fury.io/py/vizro_ai) [](https://github.com/mckinsey/vizro/blob/main/LICENSE.md) [](https://vizro-ai.readthedocs.io/) [](https://www.bestpractices.dev/projects/7858)\n\n<picture>\n <source srcset=\"https://raw.githubusercontent.com/mckinsey/vizro/main/.github/images/toolkit_vizro_ai.gif\">\n <img alt=\"Gif to demonstrate Vizro-AI\" src=\"https://raw.githubusercontent.com/mckinsey/vizro/main/.github/images/toolkit_vizro_ai_fallback.png\" width=\"600\">\n</picture>\n\n<p>\n<font size=\"+1\">\nVizro-AI is a tool designed for generating data visualizations.\nIt serves as an extension to Vizro, leveraging natural language capabilities to empower users in creating both charts and dashboards, making it a comprehensive solution for visual data exploration.\n</font>\n</p>\n\n</div>\n\n## Try out live\n\n| Platform | Chart creation | Dashboard creation |\n| ------------ | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| PyCafe | https://py.cafe/app/vizro-official/vizro-ai-charts | |\n| Google Colab | [](https://colab.research.google.com/github/mckinsey/vizro/blob/main/vizro-ai/examples/chart_by_vizro_ai.ipynb) | [](https://colab.research.google.com/github/mckinsey/vizro/blob/main/vizro-ai/examples/dashboard_by_vizro_ai.ipynb) |\n\n## Why Vizro-AI?\n\n### Easy-to-use\n\nOne of the key strengths of Vizro-AI lies in its natural language capabilities, making it accessible to coding novices. Vizro-AI provides a user-friendly interface that allows to create interactive charts and dashboards while offering detailed insights about the data and the generated code.\n\n### Visually-optimized\n\nVizro-AI also caters to data practitioners who often find themselves spending more time in formatting rather than actual visualization creation. Vizro-AI enables users to speed up the process of creating visually appealing charts and dashboards by using Vizro's themes which incorporate design best practices by default.\n\n### End-to-End solution\n\nVizro-AI leverages the power of [Plotly](https://plotly.com/python/) to produce interactive charts and power of [Vizro](https://github.com/mckinsey/vizro) to create interactive dashboards, making it a complete solution for visual data exploration.\n\n## Disclaimer\n\nPlease review the [Disclaimer](https://vizro-ai.readthedocs.io/en/latest/pages/explanation/disclaimer/) before using `vizro-ai` package.\n\n## Documentation\n\nFor more information, please refer to our [Documentation](https://vizro.readthedocs.io/projects/vizro-ai/).\n\n## Acknowledgment\n\nVizro-AI is powered by [LangChain](https://github.com/langchain-ai/langchain).\n",
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