Visualize SLA breaches, monitor team performance, and predict support trends in real-time for JIRA-based workflows using Python.
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Updated
Mar 27, 2026 - HTML
Visualize SLA breaches, monitor team performance, and predict support trends in real-time for JIRA-based workflows using Python.
Extend Apache Superset with Model Context Protocol to integrate and manage machine learning models efficiently within data dashboards.
Build and manage AI agents to automate data research, track markets, and run multi-agent workflows with an open-source framework.
Build a virtual iPhone using VPHONE600AP from PCC firmware to explore cloud-based iOS features and system interactions.
Apache Superset is a Data Visualization and Data Exploration Platform
🚀 Build spec-driven applications with SuperSpec, a framework that enhances development efficiency and ensures consistency throughout your projects.
🌆 Optimize urban management with smart solutions for efficient resource use and enhanced city living, promoting sustainability and innovation.
🛡️ Detect and remove spyware with SUPERAntiSpyware Professional X, ensuring your Windows system stays secure and your data remains private.
📚 Proyectos academicos de la carrera Analista de Sistemas. 🚀 El objetivo principal de esta colección es mantener la organización por materias, así como la aplicación practica de distintos conceptos a lo largo de la cursada. Este repositorio esta pensado para subir el contenido de la carrera.
Guida operativa a StarRocks su Kubernetes: deploy via Helm, ingestion batch (curl/Sling) e realtime (Kafka/Flink CDC), BI con Apache Superset
End-to-end data warehouse exercises for students - build a modern ELT pipeline using Docker, PostgreSQL, dbt, Airflow, and Superset through a medallion architecture (bronze → silver → gold).
Docker Hub Repo
A scalable, Lakehouse-based SIEM architecture using Apache Kafka, Spark, Hadoop, and Hive for real-time security threat detection and large-scale log analytics
PyMongoSQL is a Python DB-API 2.0 (PEP 249) client for MongoDB, with a SQLAlchemy dialect included. It is used as a database driver in Apache Superset.
Liteset is Apache Superset, but using Litestar instead of Flask
MCP server for managing Apache Superset — 128+ tools for dashboards, charts, datasets, SQL Lab, access control
A curated collection of lean, modern, and cost-effective Data/BI stack implementations.
Kubernetes-native data platform for NYC Taxi analytics — Lakehouse architecture with Iceberg, Spark, Airflow, Nessie(catalog), Rustfs(S3 compatible object storage), Trino, Superset.
A PHP client library for interacting with Apache Superset API
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