Amin Ghadersohi 5b56bc622b feat: major MCP service enhancements with cache control, testing infrastructure, and bug fixes
This comprehensive update adds significant functionality and improvements to the MCP service:

  New Features:
  - Cache control utilities for metadata operations with configurable TTL
  - Entity testing plan documentation for systematic API validation
  - Chart data retrieval tool with caching support
  - Comprehensive request schema validation framework
  - Sortable columns testing infrastructure

  Documentation Updates:
  - Expanded README with architecture details and usage examples
  - Phase 1 status tracking and implementation notes
  - Enhanced schema documentation with cache control patterns
  - LLMS.md reference added to CLAUDE.md

  Search Functionality Fixes:
  - Dashboard search: removed invalid columns (owners, roles, tags, published)
  - Dataset search: removed non-existent 'tags' and problematic 'catalog' columns
  - Chart search: maintained correct text-only columns (slice_name, description)
  - Updated corresponding unit tests to match implementations

  Infrastructure Improvements:
  - Added comprehensive cache control test coverage
  - Request schema validation testing
  - Sortable columns validation across all entity types
  - Enhanced error handling and logging

  Technical Debt:
  - Standardized import patterns across MCP tools
  - Improved type safety in Pydantic schemas
  - Better separation of concerns for cache operations
2025-07-30 14:20:42 -04:00
2025-07-30 14:20:40 -04:00
2020-03-25 22:00:41 -07:00
2024-04-15 11:21:42 -06:00
2025-07-30 14:20:39 -04:00

Superset

License Latest Release on Github Build Status PyPI version Coverage Status PyPI Get on Slack Documentation

Superset logo (light)

A modern, enterprise-ready business intelligence web application.

Why Superset? | Supported Databases | Installation and Configuration | Release Notes | Get Involved | Contributor Guide | Resources | Organizations Using Superset

Why Superset?

Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.

Superset provides:

  • A no-code interface for building charts quickly
  • A powerful, web-based SQL Editor for advanced querying
  • A lightweight semantic layer for quickly defining custom dimensions and metrics
  • Out of the box support for nearly any SQL database or data engine
  • A wide array of beautiful visualizations to showcase your data, ranging from simple bar charts to geospatial visualizations
  • Lightweight, configurable caching layer to help ease database load
  • Highly extensible security roles and authentication options
  • An API for programmatic customization
  • A cloud-native architecture designed from the ground up for scale

Screenshots & Gifs

Video Overview

superset-video-1080p.webm


Large Gallery of Visualizations


Craft Beautiful, Dynamic Dashboards


No-Code Chart Builder


Powerful SQL Editor


Supported Databases

Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena, and more) that has a Python DB-API driver and a SQLAlchemy dialect.

Here are some of the major database solutions that are supported:

redshift google-bigquery snowflake trino presto databricks druid firebolt timescale postgresql mysql mssql-server db2 sqlite sybase mariadb vertica oracle firebird greenplum clickhouse exasol monet-db apache-kylin hologres netezza pinot teradata yugabyte databend starrocks doris oceanbase sap-hana denodo ydb TDengine

A more comprehensive list of supported databases along with the configuration instructions can be found here.

Want to add support for your datastore or data engine? Read more here about the technical requirements.

Installation and Configuration

Try out Superset's quickstart guide or learn about the options for production deployments.

Get Involved

Contributor Guide

Interested in contributing? Check out our CONTRIBUTING.md to find resources around contributing along with a detailed guide on how to set up a development environment.

Resources

  • Superset "In the Wild" - open a PR to add your org to the list!
  • Feature Flags - the status of Superset's Feature Flags.
  • Standard Roles - How RBAC permissions map to roles.
  • Superset Wiki - Tons of additional community resources: best practices, community content and other information.
  • Superset SIPs - The status of Superset's SIPs (Superset Improvement Proposals) for both consensus and implementation status.

Understanding the Superset Points of View

Repo Activity

Performance Stats of apache/superset - Last 28 days
Languages
Python 38%
TypeScript 37.8%
Jupyter Notebook 21.3%
HTML 2.3%
JavaScript 0.3%
Other 0.2%