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            About
            Hex brings together the best of notebooks, BI, and docs into a seamless, collaborative UI. Hex is a modern Data Workspace. It makes it easy to connect to data, analyze it in collaborative SQL and Python-powered notebooks, and share work as interactive data apps and stories. Your default landing page in Hex is the Projects page. You can quickly find projects you created, as well as those shared with you and your workspace. The outline provides an easy-to-browse overview of all the cells in a project's Logic View. Every cell in the outline lists the variables it defines, and cells that return a displayed output (chart cells, Input Parameters, markdown cells, etc.) display a preview of that output. You can click any cell in the outline to automatically jump to that position in the logic.
             
            
        
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            About
            It's a desktop app with Jupyter Notebook and Python built in, installed with just one click. It includes interactive code snippets and an AI assistant to make coding faster and easier, perfect for data science projects. We manually hand crafted over 100 interactive code recipes that you can use in your Data Science projects. Code recipes detect packages available in the current environment. Install needed modules with 1-click, literally. You can create and interact with all variables available in your Python session. Interactive recipes speed-up your work. AI Assistant has access to your current Python session, variables and modules. Broad context makes it smart. Our AI Assistant was designed to solve data problems with Python programming language. It can help you with plots, data loading, data wrangling, Machine Learning and more. Use AI to quickly solve issues with code, just click Fix button. The AI assistant will analyze the error and propose the solution.
             
            
        
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        Platforms Supported
            
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                Windows
            
            
         
        
    
        
        
            
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        Audience
        Individuals in need of a collaborative data platform
         
        
    
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        Audience
        Data Scientists wanting a desktop app to create Python notebooks
         
        
    
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        Support
            
                Phone Support
            
            
         
        
    
        
        
            
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        API
            
                Offers API
            
            
         
        
    
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        Pricing
        $24 per user per month
        
     
    
    
        
        
            
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        Pricing
        $20 per month
        
     
    
    
        
        
            
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        Training
            
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        Company InformationHex 
    
    
    hex.tech/ 
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        Company InformationMLJAR 
    
    Founded: 2016 
    
    Poland 
    mljar.com 
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    Amazon Athena
            
            
         
        
    
        
        
            
                
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        Integrations
            
                
    GitHub
            
            
         
        
    
        
        
            
                
    PostgreSQL
            
            
         
        
    
        
        
            
                
    Amazon Athena
            
            
         
        
    
        
        
            
                
    Databricks Data Intelligence Platform
            
            
         
        
    
        
        
            
                
    Dremio
            
            
         
        
    
        
        
            
                
    HTML
            
            
         
        
    
        
        
            
                
    Jupyter Notebook
            
            
         
        
    
        
        
            
                
    LanceDB
            
            
         
        
    
        
        
            
                
    Markdown
            
            
         
        
    
        
        
            
                
    MySQL
            
            
         
        
    
                
                    
    
        
        
        
    
        
        
        
    
        
        
        
    
        
        
        
    
        
        
        
    
        
        
        
    
        
        
        
    
        
        
        
    
        
        
        
    
        
        
        
    
                
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