Apache Superset is a Data Visualization and Data Exploration Platform
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Updated
Aug 19, 2024 - TypeScript
Apache Superset is a Data Visualization and Data Exploration Platform
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Workflow Engine for Kubernetes
The Data Engineering Cookbook
Roadmap to becoming a data engineer in 2021
An orchestration platform for the development, production, and observation of data assets.
Turns Data and AI algorithms into production-ready web applications in no time.
Always know what to expect from your data.
🐚 Python-powered shell. Full-featured and cross-platform.
Fancy stream processing made operationally mundane
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.
SQL stream processing for event-driven workloads. Perform streaming analytics, or build event-driven applications, real-time ETL pipelines, and feature stores in minutes. Unified streaming and batch processing. PostgreSQL compatible.
Open Source Feature Flagging and A/B Testing Platform
The open source high performance ELT framework powered by Apache Arrow
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