facebookresearch / Kats

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

Summary
CFG
email_034-attachment-send-file-code-cssCreated with Sketch.
Main Code: 19,731 LOC (91 files) = PY (99%) + HTML (<1%) + CSS (<1%) + CFG (<1%)
Secondary code: Test: 41,698 LOC (56); Generated: 0 LOC (0); Build & Deploy: 229 LOC (1); Other: 2,412 LOC (66);
Artboard 48 Duplication: 14%
File Size: 11% long (>1000 LOC), 26% short (<= 200 LOC)
Unit Size: 0% long (>100 LOC), 65% short (<= 10 LOC)
Conditional Complexity: 0% complex (McCabe index > 50), 76% simple (McCabe index <= 5)
Logical Component Decomposition: primary (10 components)
files_time

10 months old

  • 0% of code older than 365 days
  • 0% 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
8 files
Commits Trend

Latest commit date: 2022-01-24

31
commits
(30 days)
23
contributors
(30 days)
Commits

30

353

Contributors

23

66

2022 2021
show commits trend per language
Reports
Analysis Report
Trend
Analysis Report
76_startup_sticky_notes
Notes & Findings
Links

generated by sokrates.dev (configuration) on 2022-01-25