real-time-sources
Streams public real-time data feeds into Kafka, MQTT, AMQP
All Skills in This Repository (5)
Pure Emerald Level Indicatorscontainer-and-delivery
Automate Docker source packaging and delivery validation before merge.
stream-bridge-implementation
Implement runtime bridge patterns for data sources with xreg contract compliance.
bootstrap-real-time-source
Plan bootstrap processes for new real-time sources with contract and runtime scaffolding.
xreg-source-contract
Design and validate real-time event contracts for data sources using xreg.
find-real-time-sources
Identify and catalog open real-time data sources with licensing and endpoint details.
Frequently Asked Questions
FAQPage SchemaHow to install real-time-sources?โผ
Run `npx skills add clemensv/real-time-sources --all -g -y` in your terminal to install all skills in this collection globally.
What does real-time-sources do?โผ
It turns about 100 public real-time data feeds, like hydrology gauges, AIS vessel tracks, and weather observations, into well-typed CloudEvents delivered over Kafka, MQTT, or AMQP. Each source ships as a small Python feeder with a pre-built container image.
How do I add a new data feed?โผ
The included skills walk through the full workflow: audit the upstream API, author an xRegistry contract, implement the runtime bridge, and package containers with deployment templates. Mandatory review and end-to-end test gates keep every new feeder consistent.
Can I deploy feeders to Azure or Microsoft Fabric?โผ
Yes. Every source offers one-click ARM template deployments to Azure Container Instances connected to Event Hubs, Service Bus, or Event Grid, plus a notebook-based option for Microsoft Fabric Event Streams.
Do I need coding experience to use these feeders?โผ
No. Pre-built container images run anywhere with a simple docker pull, and the interactive catalog lets you deploy any source with one click and no code changes.
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