aws-samples / aws-iot-greengrass-edge-analytics-workshop
Workshop to showcase how to perform IoT data analytics at the edge using AWS IoT Greengrass.
Summary
   |
|||
| Main Code: 1,035 LOC (10 files) = TS (73%) + PY (25%) + JS (<1%) | |||
| Duplication: 17% | |||
| File Size: 0% long (>1000 LOC), 45% short (<= 200 LOC) | |||
| Unit Size: 71% long (>100 LOC), 7% short (<= 10 LOC) | |||
| Conditional Complexity: 0% complex (McCabe index > 50), 92% simple (McCabe index <= 5) | |||
|
|
Logical Component Decomposition: primary (6 components) | ||
|
|
2 years, 2 months old
|
||
|
|
0% of code updated more than 50 times Also see temporal dependencies for files frequently changed in same commits. |
||
| Goals: Keep the system simple and easy to change (4) | |||
Latest commit date: 2020-09-03
|
0
commits
(30 days)
0
contributors
(30 days) |
|