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About
Fabi.ai is an AI-powered, collaborative data analysis platform. It helps data teams turn data into insights thanks to a seamless integration between SQL, Python, AI and no-code.
From Fabi.ai, data teams can build and share interactive dashboards and reports, data apps, or lightweight data pipelines, pushing insights to Google Sheets and Slack.
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About
PandaAI is an AI-driven platform that transforms natural language queries into actionable data insights, streamlining the data analysis process. It allows users to connect databases effortlessly, enabling instant report generation through agentic AI and text-to-SQL layers. Users can interact with their data using conversational AI, facilitating intuitive, human-like queries. It also supports team collaboration by allowing users to save responses as data snippets and share them with colleagues. To get started, users can install the pandasai Python library, set up their API key, load their datasets, and push them to the platform for analysis.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Data teams and practitioners
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Audience
Data analysts and business intelligence professionals interested in a tool to simplify data querying and reporting
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and VideosNo images available
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Screenshots and Videos |
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Pricing
$199/month
Free Version
Free Trial
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Pricing
€20 per month
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationFabi.ai
Founded: 2023
United States
www.fabi.ai/
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Company InformationPandaAI
getpanda.ai/
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Categories |
Categories |
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Integrations
Python
SQL
Amazon Redshift
Amazon Web Services (AWS)
Google Cloud BigQuery
Google Cloud Platform
Google Sheets
Microsoft Azure
MongoDB
MySQL
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Integrations
Python
SQL
Amazon Redshift
Amazon Web Services (AWS)
Google Cloud BigQuery
Google Cloud Platform
Google Sheets
Microsoft Azure
MongoDB
MySQL
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