Netflix/codec_compare
File Churn
File change frequency (churn) shows the distribution of file updates (days with at least one commit).
Overview
File Change Frequency Overall
  • There are 0 files with 0 lines of code.
    • 0 files changed more than 100 times (0 lines of code)
    • 0 files changed 51-100 times (0 lines of code)
    • 0 files changed 21-50 times (0 lines of code)
    • 0 files changed 6-20 times (0 lines of code)
    • 0 files changed 1-5 times (0 lines of code)
0% | 0% | 0% | 0% | 0%
Legend:
101+
51-100
21-50
6-20
1-5

explore: grouped by folders | grouped by update frequency | data
Contributors Count Frequency Overall
  • There are 0 files with 0 lines of code.
    • 0 files changed by more than 25 contributors (0 lines of code)
    • 0 files changed by 11-25 contributors (0 lines of code)
    • 0 files changed by 6-10 contributors (0 lines of code)
    • 0 files changed by 2-5 contributors (0 lines of code)
    • 0 files changed by 1 contributor (0 lines of code)
0% | 0% | 0% | 0% | 0%
Legend:
26+
11-25
6-10
2-5
1

explore: grouped by folders | grouped by contributors count | data
File Change Frequency per File Extension
py, txt, sh, gitignore, md
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
py0% | 0% | 0% | 0% | 0%
File Change Frequency per Logical Decomposition
primary
primary (file change frequency)
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
encode0% | 0% | 0% | 0% | 0%
ROOT0% | 0% | 0% | 0% | 0%
decode0% | 0% | 0% | 0% | 0%
Most Frequently Changed Files (Top 10)

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
webp.py
in decode
 13 -
jpeg.py
in decode
 16 -
kakadu.py
in decode
 27 -
hevc.py
in decode
 29 -
kakadu.py
in encode
 29 -
webp.py
in encode
 31 -
jpeg.py
in encode
 41 -
hevc.py
in encode
 45 -
72 2
compare.py
in root
 216 10
Files With Most Contributors (Top 10)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
webp.py
in encode
 31 -
hevc.py
in encode
 45 -
jpeg.py
in encode
 41 -
kakadu.py
in encode
 29 -
72 2
webp.py
in decode
 13 -
hevc.py
in decode
 29 -
jpeg.py
in decode
 16 -
kakadu.py
in decode
 27 -
compare.py
in root
 216 10
Files With Least Contributors (Top 10)
Based on the number of unique email addresses found in commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
compare.py
in root
 216 10
72 2
hevc.py
in encode
 45 -
jpeg.py
in encode
 41 -
webp.py
in encode
 31 -
kakadu.py
in encode
 29 -
hevc.py
in decode
 29 -
kakadu.py
in decode
 27 -
jpeg.py
in decode
 16 -
webp.py
in decode
 13 -
Correlations

File Size vs. Number of Changes: 0 points

No data for "lines of code" vs. "# changes".

Number of Contributors vs. Number of Changes: 0 points

No data for "# contributors" vs. "# changes".

Number of Contributors vs. File Size: 0 points

No data for "# contributors" vs. "lines of code".

Number of Changes vs. Line Churn: 2 points

OSSMETADATA x: 1 # changes y: 1 line churn LICENSE x: 1 # changes y: 201 line churn
201.0
line churn
  min: 1.0
  average: 101.0
  25th percentile: 1.0
  median: 101.0
  75th percentile: 201.0
  max: 201.0
0 1.0
# changes
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

Number of Contributors vs. Line Churn: 0 points

No data for "# contributors" vs. "line churn".

File Size vs. Line Churn: 0 points

No data for "lines of code" vs. "line churn".