Uber / orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
GitHub Repo
7.8K
lines of main code
61 files
3K
lines of test code
20 files
2.2K
lines of other code
12 files
62%
main code touched
1 year (4.9K LOC)
<1%
new main code
1 year (62 LOC)
2
recent contributors
past 30 days
4y
age
1,547 days
6.7K
py
STAN
996
stan
63
toml
IN
13
in

github actions
make
docker


Main Code: 7,809 LOC (61 files) = PY (86%) + STAN (12%) + TOML (<1%) + IN (<1%)
Secondary code: Test: 2,990 LOC (20); Generated: 0 LOC (0); Build & Deploy: 0 LOC (0); Other: 2,156 LOC (12);
Duplication: 33%
File Size: 14% long (>1000 LOC), 39% short (<= 200 LOC)
Unit Size: 13% long (>100 LOC), 48% short (<= 10 LOC)
Conditional Complexity: 4% complex (McCabe index > 50), 58% simple (McCabe index <= 5)
Logical Component Decomposition: primary (2 components)

4 years, 2 months old

  • 99% of code older than 365 days
  • 37% of code not updated in the past 365 days

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)
Straight_Line
Features of interest:
TODOs
14 files

generated by sokrates.dev (configuration) on 2024-04-03