Metabase is an open-source business intelligence tool that lets you create interactive dashboards and share insights with your team.
Free and paid plans available
Best Hex Alternatives ranked by AI · updated Aug 2026
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Hex is a collaborative analytics workspace for data teams that combines SQL, Python, notebooks, and interactive applications. It is suited to analysts, analytics engineers, and business users who need to explore warehouse data and publish shareable analyses.
Top 6 Hex alternatives
Databricks is a unified data analytics platform that provides a collaborative environment for big data and machine learning.
Contact for pricing
Nextjournal is a cloud-based computational notebook platform for researchers, data scientists, and educators. It combines executable notebooks with reproducible environments, versioning, collaboration,...
Pros
- Reproducible environments are more integrated than in standard Jupyter deployments
- Supports multiple programming languages and notebook-based data workflows
- Strong versioning and narrative research features
Cons
- Smaller ecosystem and user community than Jupyter
- Less widely adopted by enterprise teams than Hex or Deepnote
- Private-work pricing and plan details are less transparent than major competitors
Free for public notebooks; paid plans for private work
Mode is a collaborative analytics platform with SQL and Python notebooks for data teams and business analysts. It combines browser-based analysis, interactive...
Pros
- Combines SQL, Python, visualizations, and reporting in one browser workflow
- Designed for collaboration between data analysts and business stakeholders
- Supports reusable datasets and governed connections to cloud data warehouses
Cons
- Pricing is less transparent than open-source notebook tools
- Requires a hosted Mode environment rather than running entirely locally
- Less flexible for general-purpose machine learning than Databricks
Deepnote is a collaborative data science notebook with real-time collaboration, interactive visualizations, and easy publishing.
Free tier available, paid plans start at $9 per user per month
Streamlit is a Python framework for building interactive data applications, including editable and configurable dataframes. Its table components support sorting, selection, column...
Pros
- Much simpler Python workflow than Dash DataTable
- Built-in dataframe display and editing for rapid data apps
- Works naturally with pandas and common Python data tools
Cons
- Less control over table layout and callbacks than Dash
- Not a dedicated grid with AG Grid-level grouping or pivoting
- Rerun-based execution can complicate complex table interactions
Free, open source; paid hosting available
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