88::::{grid} 1 2 2 3
99:gutter: 2
1010
11- :::{grid-item-card} JavaScript guestbook app
11+ :::{grid-item-card} JavaScript guestbook
1212:link : https://github.com/crate/crate-sample-apps
1313:link-type: url
1414A JavaScript guestbook app with several backend implementations.
1515+++
1616Each uses a different client library to communicate with CrateDB over HTTP.
1717:::
1818
19- :::{grid-item-card} Geospatial demo with CrateDB
19+ :::{grid-item-card} Geospatial data
2020:link : https://github.com/crate/devrel-shipping-forecast-geo-demo
2121:link-type: url
2222Geospatial data demo application using CrateDB and the Express.js framework.
2323+++
24- Click on the map to drop a marker in the waters around the British Isles ,
25- then select Search to see which Shipping Forecast region your marker is in .
24+ Select a point of interest on a map ,
25+ then drill up to the corresponding region.
2626:::
2727
2828::::
@@ -34,49 +34,48 @@ then select Search to see which Shipping Forecast region your marker is in.
3434::::{grid} 1 2 2 3
3535:gutter: 2
3636
37- :::{grid-item-card} CrateDB UK Offshore Wind Farms Data Workshop
37+ :::{grid-item-card} UK offshore wind farms data » Workshop
3838:link : https://github.com/crate/cratedb-examples/tree/main/topic/multi-model
3939:link-type: url
40- The workshop explores multimodel data modeling and queries with CrateDB.
40+ The workshop explores multimodel data modeling and queries
41+ with CrateDB and Leaflet.
4142+++
4243Acquire geographic data in WKT format and hourly performance data in JSONL
43- from The Crown Estate (manager of the UK's offshore wind farm sites) ,
44- import them into CrateDB, and display them on a Leaflet map.
44+ format about UK's offshore wind farm sites,
45+ import them into CrateDB, and display them on map.
4546:::
4647
47- :::{grid-item-card} CrateDB UK Offshore Wind Farms Data Demo
48+ :::{grid-item-card} UK offshore wind farms data » Demo
4849:link : https://github.com/crate/devrel-offshore-wind-farms-demo
4950:link-type: url
5051Demo application that visualizes data in the UK offshore wind farms
5152example dataset using CrateDB.
5253+++
53- Navigate the map widget to see the locations of individual wind farms, then
54- click on a marker to see details about that wind farm's performance.
55- Zoom in and drill down to locations and performance data of individual turbines.
54+ Navigate the map widget to see the locations of wind farms, then drill
55+ down into performance details about that wind farm and individual turbines.
5656:::
5757
58- :::{grid-item-card} Planespotting with SDR and CrateDB
58+ :::{grid-item-card} Planespotting with SDR
5959:link : https://github.com/crate/devrel-plane-spotting-with-cratedb
6060:link-type: url
61- Plane Spotting with Software Defined Radio (SDR), CrateDB, and Node.js.
61+ Plane spotting with software-defined radio (SDR), CrateDB, and Node.js.
6262+++
63- Import data from the FlightAware API, then query the latest data for planes
64- that have a plane_id, callsign, altitude, and position and have been updated
65- within the last 2 minutes.
63+ Import data from the FlightAware API, then query the latest data for active
64+ transmitting planes that has been updated within the last 2 minutes.
6665:::
6766
68- :::{grid-item-card} CrateDB GTFS / GTFS-RT Transit Data Demo
67+ :::{grid-item-card} GTFS / GTFS-RT transit data
6968:link : https://github.com/crate/devrel-gtfs-transit
7069:link-type: url
71- Capture GTFS and GTFS-RT data for storage and analysis with CrateDB.
70+ Store and analyze transit networks using a
71+ a Python/JavaScript/Leaflet application and CrateDB.
7272+++
73- The demo application has a Python backend and a JavaScript/Leaflet
74- maps frontend. It uses GTFS (General Transit Feed Specification) and GTFS‑RT
75- (the extra real-time feeds for GTFS) to store and analyze transit system route,
76- trip, stop, and vehicle‑movement data stored in CrateDB.
73+ Store and analyze data about transit system routes,
74+ trips, stops, and vehicle movements,
75+ based on GTFS and GTFS‑RT data (General Transit Feed Specification).
7776:::
7877
79- :::{grid-item-card} CrateDB RAG / Hybrid Search PDF Chatbot
78+ :::{grid-item-card} Hybrid-search PDF chatbot
8079:link : https://github.com/crate/devrel-pdf-rag-chatbot
8180:link-type: url
8281A natural language chatbot powered by CrateDB using RAG techniques and data from PDF files.
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