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

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

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

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.

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

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

A walkthrough to deploy Apache Superset on Google Cloud Run

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.

Apache Superset Kubernetes Operator

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.

End-to-end data platform for Cartola FC: Airflow pipelines ingest match and player data into a Hadoop/Hive data lake, with DataHub lineage and Superset dashboards. Docker Compose quickstart included

Lambda data architecture reference project — dbt medallion models, Airflow DAGs, Superset dashboards, and Marquez lineage for Iowa retail and Covid-19 analytics on GCP

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

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.