Apache Superset is a Data Visualization and Data Exploration Platform

Superset 汉化, Superset 中文版

Repository for Docker Image of Apache-Superset. [Docker Image: https://hub.docker.com/r/abhioncbr/docker-superset]

📡 Real-time data pipeline with Kafka, Flink, Iceberg, Trino, MinIO, and Superset. Ideal for learning data systems.

👗 📄 A catalog of CSS templates I developed to style the dashboard in Apache Superset

MCP server for managing Apache Superset — 128+ tools for dashboards, charts, datasets, SQL Lab, access control

A local-first lakehouse reference architecture for production-minded data platform engineering.

This is my Apache Airflow Local development setup on Windows 10 WSL2/Mac using docker-compose. It will also include some sample DAGs and workflows.

Demostrate apache superset integrated with django application, with custom authentication layer

A walkthrough to deploy Apache Superset on Google Cloud Run

An End-to-End ETL data pipeline that leverages pyspark parallel processing to process about 25 million rows of data coming from a SaaS application using Apache Airflow as an orchestration tool and various data warehouse technologies and finally using Apache Superset to connect to DWH for generating BI dashboards for weekly reports

A batch processing data pipeline, using AWS resources (S3, EMR, Redshift, EC2, IAM), provisioned via Terraform, and orchestrated from locally hosted Airflow containers. The end product is a Superset dashboard and a Postgres database, hosted on an EC2 instance at this address (powered down):

PyDynamoDB is a Python DB-API 2.0 (PEP 249) client for Amazon DynamoDB, with a SQLAlchemy dialect included. It is used as a database driver in Apache Superset.

A Smart Traffic Management System for Ho Chi Minh City, Vietnam leveraging batch and real-time data processing, intuitive dashboards, and monitoring tools to optimize traffic flow, enhance safety, and support sustainable urban mobility through advanced analytics and user-friendly applications.

Demo application to showcase integration of Trino with Apache superset using Minio and Hive metastore

Run an open-source data LakeHouse locally using Docker Compose

Apache Solr dialect for SQLAlchemy

Apache Superset Kubernetes Operator

Production-ready Apache Superset with DuckLake integration. Stateless analytics architecture using DuckDB for compute, PostgreSQL for metadata, and S3/GCS/MinIO for data lake storage. Includes Docker Compose, Kubernetes Helm charts, BigQuery Integration, and CI/CD workflows. Supports MotherDuck cloud integration.