[STREAMPIPES-290] More powerful real-time visualizations for StreamPipes

• Type: New Feature
• Status: Closed
• Priority: Major
• Resolution: Fixed
• Fix Version/s: 0.69.0
• Component/s: UI
• Labels: gsoc2021 mentor streampipes
• Assignee: Unassigned
• Reporter: Dominik Riemer
• Created: 28/Jan/21 19:58
• Updated: 26/Nov/22 13:44
• Resolved: 31/Oct/22 21:45

Description

Apache StreamPipes

Apache StreamPipes (incubating) is a self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams. StreamPipes offers several modules including StreamPipes Connect to easily connect data from industrial IoT sources, the Pipeline Editor to quickly create processing pipelines and several visualization modules for live and historic data exploration. Under the hood, StreamPipes utilizes an event-driven microservice paradigm of standalone, so-called analytics microservices making the system easy to extend for individual needs.

 

Background

Currently, the live dashboard (implemented in Angular) offers an initial set of simple visualizations, such as line charts, gauges, tables and single values. More advanced visualizations, especially those relevant for condition monitoring tasks (e.g., monitoring sensor measurements from industrial machines) is easy. Visualizations can be flexibly created by users and there is an SDK that allows to express requirements (e.g., based on data type or semantic type) for visualizations to better guide users through the creation process.

 

Tasks

1. Extend the set of real-time visualizations in StreamPipes, e.g., by integrating existing visualizations from Apache ECharts.
2. Improve the existing dashboard, e.g., by introducing better filtering or more advanced customization options.

 

Relevant Skills

0. Don't be afraid! We'll guide you through your first steps with StreamPipes.

1. Angular
2. Basic knowledge of Apache ECharts

 

Mentor

Dominik Riemer, PPMC Apache StreamPipes ([e-mail])