apache / incubator-liminal
Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful experiment to an automated pipeline of model training, validation, deployment and inference in production. Liminal provides a Domain Specific Language to build ML workflows on top of Apache Airflow.
GitHub Repo
2.1K
lines of main code
71 files
2.4K
lines of test code
78 files
2.2K
lines of other code
59 files
13%
main code touched
1 year (274 LOC)
3%
new main code
1 year (72 LOC)
0
recent contributors
past 30 days
3y
age
1,252 days
2K
py
56
yml
36
toml
IN
19
in

github actions
pip
make
docker


Main Code: 2,094 LOC (71 files) = PY (94%) + YML (2%) + TOML (1%) + IN (<1%)
Secondary code: Test: 2,361 LOC (78); Generated: 0 LOC (0); Build & Deploy: 93 LOC (3); Other: 2,098 LOC (56);
Duplication: 3%
File Size: 0% long (>1000 LOC), 100% short (<= 200 LOC)
Unit Size: 0% long (>100 LOC), 80% short (<= 10 LOC)
Conditional Complexity: 0% complex (McCabe index > 50), 74% simple (McCabe index <= 5)
Logical Component Decomposition: primary (3 components)

3 years, 5 months old

  • 96% of code older than 365 days
  • 86% 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
1 file

generated by sokrates.dev (configuration) on 2023-08-11; reference date: 2023-08-08