Open-source template for end-to-end streaming analytics
To help my future self, I decided to build a repository in which I can quickly deploy an end-to-end modern analytics pipeline, from ingestion to fast analytics and business dashboards, including data exploration, time-series forecasting, and monitoring of the stack. Of course, all the components are open source, and you can use this template as a stepping stone for your near-realtime streaming analytics. What's the inspiration? I’ve been working with streaming analytics for a long time. I’ve done not-too-stale analytics with a RDBMs incremental query and a spreadsheet, gone over the…
Open-source template for end-to-end streaming analytics launched on February 8, 2024 with 17 votes, #1,060 of 3,962 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
This is an open-source template for deploying a complete streaming analytics pipeline using open-source components. It enables users to build near-real-time analytics systems from data ingestion through dashboards, with built-in capabilities for data exploration, time-series forecasting, and infrastructure monitoring. The template is designed for developers and data engineers who need to quickly set up modern analytics infrastructure without building from scratch.
written from the facts on this page · September 2026
From the sources
Template to quickstart streaming analytics using Apache Kafka for ingestion, QuestDB for time-series storage and analytics, Grafana for near real-time dashboards, and Jupyter Notebook for data science - questdb/time-series-streaming-analytics-template
In the maker’s words, at launch
To help my future self, I decided to build a repository in which I can quickly deploy an end-to-end modern analytics pipeline, from ingestion to fast analytics and business dashboards, including data exploration, time-series forecasting, and monitoring of the stack. Of course, all the components are open source, and…
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