Vizro-AI
[!WARNING] Vizro-AI is deprecated. Version 0.4.2 is the final release; no further development or releases are planned. Use Vizro-e2e-flow or Vizro-MCP instead for AI-assisted chart and dashboard creation. See DEPRECATION.md for details.
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 interactive charts, making it a comprehensive solution for visual data exploration.
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 way to create interactive charts 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 by using Vizro's themes which incorporate design best practices by default.
End-to-End solution
Vizro-AI leverages the power of Plotly to produce interactive charts, making it a complete solution for visual data exploration.
Disclaimer
Please review the Disclaimer before using vizro-ai package.
Documentation
For more information, please refer to our Documentation.
Acknowledgment
Vizro-AI is powered by Pydantic AI.
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 vizro_ai-0.4.2.tar.gz.
File metadata
- Download URL: vizro_ai-0.4.2.tar.gz
- Upload date:
- Size: 16.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2da6252aab5d2e9dd7cb190a13ca389fd950153a13164928fb130bd6e27216b6
|
|
| MD5 |
fa3ecce7a1fe5b40db9c30cea3337b44
|
|
| BLAKE2b-256 |
a84176ab8c2bf2b6f4a1e19f668b1458d65c4ec464cf5e063aadd1c5e306ad3f
|
Provenance
The following attestation bundles were made for vizro_ai-0.4.2.tar.gz:
Publisher:
release-if-needed.yml on mckinsey/vizro
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
vizro_ai-0.4.2.tar.gz -
Subject digest:
2da6252aab5d2e9dd7cb190a13ca389fd950153a13164928fb130bd6e27216b6 - Sigstore transparency entry: 2410846023
- Sigstore integration time:
-
Permalink:
mckinsey/vizro@b24ea468c7a51213308f3727e4291615046e7deb -
Branch / Tag:
refs/heads/main - Owner: https://github.com/mckinsey
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release-if-needed.yml@b24ea468c7a51213308f3727e4291615046e7deb -
Trigger Event:
push
-
Statement type:
File details
Details for the file vizro_ai-0.4.2-py3-none-any.whl.
File metadata
- Download URL: vizro_ai-0.4.2-py3-none-any.whl
- Upload date:
- Size: 16.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6f26c1bb61d76708b7b9f02035ec45e0621261c5c24cbdcd91c6bbe168b104c0
|
|
| MD5 |
d6ddc58d685d67978212fc8e6ab549b0
|
|
| BLAKE2b-256 |
fef439ea54c930d8a25177b0abe3a462f91eeb7d8e2fff9cd630aa12aa3592a5
|
Provenance
The following attestation bundles were made for vizro_ai-0.4.2-py3-none-any.whl:
Publisher:
release-if-needed.yml on mckinsey/vizro
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
vizro_ai-0.4.2-py3-none-any.whl -
Subject digest:
6f26c1bb61d76708b7b9f02035ec45e0621261c5c24cbdcd91c6bbe168b104c0 - Sigstore transparency entry: 2410846289
- Sigstore integration time:
-
Permalink:
mckinsey/vizro@b24ea468c7a51213308f3727e4291615046e7deb -
Branch / Tag:
refs/heads/main - Owner: https://github.com/mckinsey
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release-if-needed.yml@b24ea468c7a51213308f3727e4291615046e7deb -
Trigger Event:
push
-
Statement type: