Overview
File Change Frequency Overall
  • There are 3 files with 972 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)
    • 2 files changed 6-20 times (818 lines of code)
    • 1 file changed 1-5 times (154 lines of code)
0% | 0% | 0% | 84% | 15%
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 3 files with 972 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)
    • 3 files changed by 2-5 contributors (972 lines of code)
    • 0 files changed by 1 contributor (0 lines of code)
0% | 0% | 0% | 100% | 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, gitignore, md, dockerignore
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
py0% | 0% | 0% | 84% | 15%
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
ROOT0% | 0% | 0% | 84% | 15%
vmaf0% | 0% | 0% | 0% | 0%
Most Frequently Changed Files (Top 5)

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)
# contributorsline
churn
first
contributor
latest
contributor
676 30 2020-01-15 2021-08-06 8 2 +677 / -291 amavlankar amavlankar
142 10 2019-12-11 2021-07-02 6 2 +117 / -90 amavlankar amavlankar
154 8 2019-12-11 2020-09-18 4 2 +45 / -20 amavlankar amavlankar
62 4
80 5
Files With Most Churn (Top 5)
Based on the number of lines added and deleted across all commits.

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)
# contributorsline
churn
first
contributor
latest
contributor
676 30 2020-01-15 2021-08-06 8 2 +677 / -291 amavlankar amavlankar
142 10 2019-12-11 2021-07-02 6 2 +117 / -90 amavlankar amavlankar
154 8 2019-12-11 2020-09-18 4 2 +45 / -20 amavlankar amavlankar
62 4
80 5
Files With Most Contributors (Top 5)
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
676 30 2020-01-15 2021-08-06 8 2 +677 / -291 amavlankar amavlankar
142 10 2019-12-11 2021-07-02 6 2 +117 / -90 amavlankar amavlankar
154 8 2019-12-11 2020-09-18 4 2 +45 / -20 amavlankar amavlankar
62 4
80 5
Files With Least Contributors (Top 5)
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
80 5
62 4
676 30 2020-01-15 2021-08-06 8 2 +677 / -291 amavlankar amavlankar
154 8 2019-12-11 2020-09-18 4 2 +45 / -20 amavlankar amavlankar
142 10 2019-12-11 2021-07-02 6 2 +117 / -90 amavlankar amavlankar
Correlations

File Size vs. Number of Changes: 3 points

script_compress_parallel.py x: 676 lines of code y: 8 # changes compute_BD_rates.py x: 142 lines of code y: 6 # changes analyze_encoding_results.py x: 154 lines of code y: 4 # changes
8.0
# changes
  min: 4.0
  average: 6.0
  25th percentile: 4.0
  median: 6.0
  75th percentile: 8.0
  max: 8.0
0 676.0
lines of code
min: 142.0 | average: 324.0 | 25th percentile: 142.0 | median: 154.0 | 75th percentile: 676.0 | max: 676.0

Number of Contributors vs. Number of Changes: 3 points

script_compress_parallel.py x: 2 # contributors y: 8 # changes compute_BD_rates.py x: 2 # contributors y: 6 # changes analyze_encoding_results.py x: 2 # contributors y: 4 # changes
8.0
# changes
  min: 4.0
  average: 6.0
  25th percentile: 4.0
  median: 6.0
  75th percentile: 8.0
  max: 8.0
0 2.0
# contributors
min: 2.0 | average: 2.0 | 25th percentile: 2.0 | median: 2.0 | 75th percentile: 2.0 | max: 2.0

Number of Contributors vs. File Size: 3 points

script_compress_parallel.py x: 2 # contributors y: 676 lines of code compute_BD_rates.py x: 2 # contributors y: 142 lines of code analyze_encoding_results.py x: 2 # contributors y: 154 lines of code
676.0
lines of code
  min: 142.0
  average: 324.0
  25th percentile: 142.0
  median: 154.0
  75th percentile: 676.0
  max: 676.0
0 2.0
# contributors
min: 2.0 | average: 2.0 | 25th percentile: 2.0 | median: 2.0 | 75th percentile: 2.0 | max: 2.0

Number of Changes vs. Line Churn: 6 points

script_compress_parallel.py x: 8 # changes y: 968 line churn compute_BD_rates.py x: 6 # changes y: 207 line churn Dockerfile x: 3 # changes y: 154 line churn .gitignore x: 3 # changes y: 10 line churn analyze_encoding_results.py x: 4 # changes y: 65 line churn README.md x: 2 # changes y: 3 line churn
968.0
line churn
  min: 3.0
  average: 234.5
  25th percentile: 8.25
  median: 109.5
  75th percentile: 397.25
  max: 968.0
0 8.0
# changes
min: 2.0 | average: 4.33 | 25th percentile: 2.75 | median: 3.5 | 75th percentile: 6.5 | max: 8.0

Number of Contributors vs. Line Churn: 3 points

script_compress_parallel.py x: 2 # contributors y: 968 line churn compute_BD_rates.py x: 2 # contributors y: 207 line churn analyze_encoding_results.py x: 2 # contributors y: 65 line churn
968.0
line churn
  min: 65.0
  average: 413.33
  25th percentile: 65.0
  median: 207.0
  75th percentile: 968.0
  max: 968.0
0 2.0
# contributors
min: 2.0 | average: 2.0 | 25th percentile: 2.0 | median: 2.0 | 75th percentile: 2.0 | max: 2.0

File Size vs. Line Churn: 3 points

script_compress_parallel.py x: 676 lines of code y: 968 line churn compute_BD_rates.py x: 142 lines of code y: 207 line churn analyze_encoding_results.py x: 154 lines of code y: 65 line churn
968.0
line churn
  min: 65.0
  average: 413.33
  25th percentile: 65.0
  median: 207.0
  75th percentile: 968.0
  max: 968.0
0 676.0
lines of code
min: 142.0 | average: 324.0 | 25th percentile: 142.0 | median: 154.0 | 75th percentile: 676.0 | max: 676.0