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$ show apache/superset

[account ↗] [repo ↗] APPLICATION ★ 75052 18431 ● active (last update 1 week ago)
reviewed by: deepseek/deepseek-v4-flash

Apache Superset is a production-grade business intelligence web application for data exploration and visualization. It provides a full-stack platform (Python Flask backend, React/TypeScript frontend) that connects to over 50 SQL databases, allowing users to create interactive dashboards, design charts via a plugin architecture, execute ad-hoc SQL queries in SQL Lab, and schedule email/slack reports with screenshots. The system manages metadata in a relational database (PostgreSQL/MySQL), uses Celery for background tasks (dashboard thumbnails, report execution), Redis for caching and async events, and exposes a REST API for programmatic access. Key architectural patterns include a command pattern for CRUD operations, DAO layer for data access, a rich chart plugin system with lazy-loaded rendering, and an embedded SDK for external dashboards. The codebase is actively maintained with frequent schema migrations, extensive tests, and an experimental MCP service for AI integration. While primarily an application, it includes data-research-adjacent features like semantic layers and pandas-based post-processing for chart data.

RATING9.0/10
QUALITY7.8/10
MAINTENANCEactive
DRIFTlow
CONTRIBUTORS1700
VELOCITY0.98
OPEN ISSUES563
CLOSED ISSUES12445
LAST COMMIT1 week ago
apache-superset-core (pip)
backoff (pip) >=1.8.0
cachetools (pip) >=7.1.7
celery (pip) >=5.6.3
click (pip) >=8.4.2
click-option-group (pip)
colorama (pip)
flask-cors (pip) >=6.0.5
croniter (pip) >=6.2.4
cron-descriptor (pip)
cryptography (pip) >=50.0.0
deprecation (pip) >=2.1.0
flask (pip) >=2.2.5
flask-appbuilder (pip) >=5.2.2
flask-caching (pip) >=2.4.1
flask-compress (pip) >=1.13
flask-talisman (pip) >=1.0.0
flask-login (pip) >=0.6.0
flask-migrate (pip) >=4.1.0
flask-session (pip) >=0.4.0
flask-sqlalchemy (pip) >=3.1.1
flask-wtf (pip) >=1.3.0
geopy (pip)
greenlet (pip) <=3.5.4
gunicorn (pip) >=26.0.0
hashids (pip) >=1.3.1
holidays (pip) >=0.101
humanize (pip)
isodate (pip)
jsonpath-ng (pip) >=1.8.0
Mako (pip) >=1.4.1
markdown (pip) >=3.10.3
marshmallow (pip) >=3.0
marshmallow-union (pip) >=0.1.15.post1
msgpack (pip) >=1.2.0
nh3 (pip) >=0.3.5
numpy (pip) >=1.23.5
packaging (pip)
Files by Type (count)
Python
3007
TypeScript
2339
TSX
1832
JSON
1262
Other (.mdx)
990
Other (.png)
633
YAML
251
Markdown
235
Other (.geojson)
202
Other (.jpg)
136
Other (.svg)
111
JavaScript
68
Files by Type (size)
Other (.png)
61MB
Other (.geojson)
34MB
Python
33MB
Other (.parquet)
32MB
Other (.gif)
22MB
Other (.po)
20MB
Other (.jpg)
15MB
TSX
13MB
TypeScript
11MB
JSON
5MB
Markdown
4MB
Other (.mdx)
3MB

The LLM identified 3 files worth highlighting for reuse:

Implements a reusable base command pattern for business logic operations. Provides `BaseCommand` with `validate()` and `run()` methods, plus `@transaction` and `@on_error` decorators that wrap operations in database transactions and error handling. This pattern is used across all major CRUD commands (charts, dashboards, datasets) and could be extracted as a standalone library for any Flask-SQLAlchemy project requiring clean command segregation.

file: superset/commands/base.py ↗ | tags: #command-pattern #transaction-decorator

Core chart plugin class that standardizes the lifecycle of a visualization plugin: registration, metadata, query building (`buildQuery`), data transformation (`transformProps`), and control panel definition. Supports lazy loading of chart components via dynamic imports. This class enables a consistent plugin contract across 20+ chart types (ECharts, deck.gl, AG Grid, etc.) and can be extracted to serve as a generic plugin system for any React-based visualization framework.

file: superset-frontend/packages/superset-ui-core/src/chart/ChartPlugin.ts ↗ | tags: #plugin-architecture #lazy-loading

A pure function that applies pivot transformations to chart data as part of a post-processing pipeline. It takes a DataFrame and configuration (index, columns, aggregates, flatten) and returns a pivoted result. This operator is one of several reusable, composable transformation steps (including sort, rolling window, time comparison) that can be chained. The pattern is extracted from Superset's chart query pipeline and can be reused in any data processing stack that needs a declarative pivot operation.

Last analyzed: 2026-08-18 12:28:54.663309
Next check: 2026-10-06 13:04:09.478015
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