langchain-tableau

0
langchain-tableau seamlessly integrates LangChain with Tableau, enabling AI agents to connect to Tableau Server and Hyper extracts. With this connector, agents can run SQL or natural language queries against data, retrieve results as DataFrames, and generate insights. It simplifies data-driven decision making by allowing agents to interact with Tableau assets, create new data sources, and automate report generation without manual coding.
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langchain-tableau

langchain-tableau

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langchain-tableau
langchain-tableau seamlessly integrates LangChain with Tableau, enabling AI agents to connect to Tableau Server and Hyper extracts. With this connector, agents can run SQL or natural language queries against data, retrieve results as DataFrames, and generate insights. It simplifies data-driven decision making by allowing agents to interact with Tableau assets, create new data sources, and automate report generation without manual coding.
Added on:
Social & Email:
Platform:
May 12 2025
--
Featured

What is langchain-tableau?

langchain-tableau is a Python library that bridges LangChain AI agents and Tableau's analytics ecosystem. It provides tools to authenticate with Tableau Server, execute Hyper API queries, and fetch data into Pandas DataFrames. The library offers a LangChain toolkit for agents to translate natural language prompts into SQL, run queries, and process results. Define templates to extract data, build dynamic visualizations, or automate refresh workflows. langchain-tableau streamlines BI and AI convergence, empowering intelligent, automated data analysis and reporting in agent pipelines.

Who will use langchain-tableau?

  • Data Analysts
  • BI Developers
  • Data Engineers
  • AI Researchers
  • Business Users

How to use the langchain-tableau?

  • Step1: pip install langchain-tableau
  • Step2: import and configure Tableau authentication in Python
  • Step3: Initialize the langchain-tableau toolkit in your LangChain agent
  • Step4: Define natural language or SQL query templates
  • Step5: Run the agent to execute queries and fetch DataFrames
  • Step6: Process results or generate automated Tableau reports

Platform

  • Web
  • Linux
  • Mac
  • Windows

langchain-tableau's Core Features & Benefits

The Core Features

  • Natural language to SQL translation for Tableau
  • Hyper API integration and authentication
  • DataFrame result retrieval
  • Agent toolkit for LangChain
  • Report automation and refresh workflows

The Benefits

  • Streamlines BI and AI workflows
  • No manual coding for data queries
  • Accelerates report generation
  • Enhances decision-making with LLM insights
  • Seamless integration with existing Tableau assets

langchain-tableau's Main Use Cases & Applications

  • Ad-hoc natural language data analysis
  • Automated BI report generation
  • Interactive agent-driven dashboard queries
  • Scheduled data refresh and extraction
  • Insights generation from Tableau datasets

langchain-tableau's Pros & Cons

The Pros

Enables natural language querying of Tableau data through AI agents.
Leverages Tableau's powerful VizQL Data Service for complex data operations.
Ensures security by using Tableau's API layer and JWT-based authentication.
Open source with active GitHub repository for contributions and issues.
Facilitates integration within popular AI frameworks like Langchain and LangGraph.

The Cons

Requires configuration with Tableau's API and authentication credentials, which may be complex for some users.
Limited to environments that support Tableau and Langchain compatibility.
No direct pricing information is available from the project page.
Lacks direct mobile or extension app availability.

FAQs of langchain-tableau

langchain-tableau Company Information

Analytic of langchain-tableau

Visit Over Time

Monthly Visits
6904.6k
Avg Visit Duration
00:01:36
Page Per Visit
2.14
Bounce Rate
62.01%
Aug 2025 - Oct 2025 All Traffic

Geography

Top 5 Regions
United States
18.01%
India
7.99%
China
6.69%
Hong Kong
4.94%
Germany
4.18%
Aug 2025 - Oct 2025 Worldwide Desktop Only

Traffic Sources

Search
60.34%
Direct
31.40%
Referrals
7.57%
Social
0.40%
Paid Referrals
0.27%
Mail
0.02%
Aug 2025 - Oct 2025 Desktop Only

Top Keywords

KeywordTrafficCost Per Click
pypi73.2k $ 3.72
pip203.9k $ 1.43
yfinance57.2k $ 2.29
pyside623.0k $ 1.72
pyttsx314.5k $ 0.70

langchain-tableau Reviews

5/5
Do You Recommend langchain-tableau? Leave a Comment Below!

langchain-tableau's Main Competitors and alternatives?

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