HVF/franchise
Franchise
Franchise is a database query tool and notebook SQL client that allows users to run queries and analyze datasets. It functions as a local data processor with a browser-based engine for executing SQL commands against CSV, JSON, and XLSX files without uploading data to a remote server.
The project uses a cell-based interface to organize queries and results in an interactive, document-like layout. It supports a workflow where users can fork queries into side-by-side layouts to compare different SQL variations and their results without overwriting existing code.
The system provides a unified interface for connecting to remote databases via a secure local bridge and includes tools to transform tabular results into charts, maps, and card views. These interactive notebooks and their associated visualizations can be exported as portable HTML documents.
The application is bundled into standalone assets for hosting on standard HTTP servers.
Features
- Notebook SQL Clients - Provides a cell-based notebook interface for executing SQL queries and exploring datasets in an interactive, document-like layout.
- Notebook-Style Query Interfaces - Implements a cell-based notebook interface to organize SQL queries and their results for iterative data exploration.
- SQL-Driven Visualization - Maps SQL query results directly to visual chart types for analysis and reporting.
- Multi-Source Queries - Enables running SQL queries across a diverse set of local files and remote database instances from a single interface.
- Data Visualization - Renders structured query results into interactive tables, charts, maps, and card views.
- Data Visualization Interfaces - Implements a customizable interface for rendering and analyzing specific data formats retrieved via SQL.
- CSV Query Engines - Provides an in-memory engine that executes SQL queries directly against local CSV and JSON files within the browser.
- Flat-File SQL Analysis - Applies SQL queries to analyze structured local files like CSV, JSON, and XLSX without requiring database imports.
- Notebook Cell Execution - Implements a notebook-style interface where SQL queries and their results are organized into discrete cells for sequential analysis.
- Multi-Source Database Query Tools - Acts as a comprehensive tool for connecting to remote databases and local files to run queries and analyze datasets.
- Query Result Visualizers - Transforms tabular query outputs into interactive charts and maps for visual data analysis.
- SQL Query Execution - Provides an integrated environment for running SQL statements against both remote databases and local files.
- Interactive Data Exploration Tools - Provides an interactive environment for executing SQL queries to analyze and document data workflows in real-time.
- Local File Processing Tools - Processes CSV, JSON, and XLSX files entirely within the client environment to ensure data privacy.
- Local Data Processors - Functions as a browser-based processor for running SQL against local files to maintain data sovereignty.
- Query Result Exporters - Generates portable HTML documents that export query results and their associated data visualizations for sharing.
- Database Connectivity Management - Provides a secure connection bridge to link local terminals to cloud or on-premise database instances.
- Database Administration Interfaces - Provides a unified interface to execute commands and manage data on remote cloud or on-premise database instances.
- Unified Database Interfaces - Offers a consolidated interface to connect to and analyze data from various SQL and NoSQL database types.
- Query Result Comparators - Supports testing multiple versions of a query side-by-side to iterate on code and compare result sets.
- Local Proxy Connection Establishment - Establishes a secure local proxy bridge to connect the browser interface to remote database instances.
- SQL Exploration Workflows - Supports an iterative data exploration workflow using a cell-based layout to refine SQL commands against various data sources.
- Query Comparison Layouts - Allows users to fork queries into side-by-side layouts to compare different SQL variations and their corresponding result sets.
- Query Variation Comparators - Allows users to fork queries into parallel layouts to compare different SQL variations and their results without overwriting code.
Star history
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