deepseek-ai/DeepSeek-V3
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 5 files with 722 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)
    • 3 files changed 6-20 times (534 lines of code)
    • 2 files changed 1-5 times (188 lines of code)
0% | 0% | 0% | 73% | 26%
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 5 files with 722 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)
    • 2 files changed by 6-10 contributors (461 lines of code)
    • 3 files changed by 2-5 contributors (261 lines of code)
    • 0 files changed by 1 contributor (0 lines of code)
0% | 0% | 63% | 36% | 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, md, json, gitignore, yml
File Change Frequency per Extension
The number of recorded file updates
101+
51-100
21-50
6-20
1-5
py0% | 0% | 0% | 73% | 26%
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
inference0% | 0% | 0% | 73% | 26%
Most Frequently Changed Files (Top 5)

See data for all files...

File# lines# unitscreatedlast modified# changes
(days)		# contributorsline
churn		first
contributor		latest
contributor
model.py
in inference
 363 27 2024-12-26 2025-08-27 12 9 +1222 / -25 creativex@qq.com youkaichao@gmail.com
kernel.py
in inference
 98 6 2024-12-26 2025-08-27 8 8 +304 / -24 creativex@qq.com youkaichao@gmail.com
convert.py
in inference
 73 1 2024-12-26 2025-02-05 6 5 +115 / -7 creativex@qq.com mowencangtian@gmail.com
generate.py
in inference
 125 3 2024-12-26 2025-02-05 5 4 +239 / -6 creativex@qq.com mowencangtian@gmail.com
fp8_cast_bf16.py
in inference
 63 1 2024-12-26 2025-01-07 4 4 +149 / -6 creativex@qq.com mowencangtian@gmail.com
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
model.py
in inference
 363 27 2024-12-26 2025-08-27 12 9 +1222 / -25 creativex@qq.com youkaichao@gmail.com
kernel.py
in inference
 98 6 2024-12-26 2025-08-27 8 8 +304 / -24 creativex@qq.com youkaichao@gmail.com
generate.py
in inference
 125 3 2024-12-26 2025-02-05 5 4 +239 / -6 creativex@qq.com mowencangtian@gmail.com
fp8_cast_bf16.py
in inference
 63 1 2024-12-26 2025-01-07 4 4 +149 / -6 creativex@qq.com mowencangtian@gmail.com
convert.py
in inference
 73 1 2024-12-26 2025-02-05 6 5 +115 / -7 creativex@qq.com mowencangtian@gmail.com
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
model.py
in inference
 363 27 2024-12-26 2025-08-27 12 9 +1222 / -25 creativex@qq.com youkaichao@gmail.com
kernel.py
in inference
 98 6 2024-12-26 2025-08-27 8 8 +304 / -24 creativex@qq.com youkaichao@gmail.com
convert.py
in inference
 73 1 2024-12-26 2025-02-05 6 5 +115 / -7 creativex@qq.com mowencangtian@gmail.com
generate.py
in inference
 125 3 2024-12-26 2025-02-05 5 4 +239 / -6 creativex@qq.com mowencangtian@gmail.com
fp8_cast_bf16.py
in inference
 63 1 2024-12-26 2025-01-07 4 4 +149 / -6 creativex@qq.com mowencangtian@gmail.com
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
generate.py
in inference
 125 3 2024-12-26 2025-02-05 5 4 +239 / -6 creativex@qq.com mowencangtian@gmail.com
fp8_cast_bf16.py
in inference
 63 1 2024-12-26 2025-01-07 4 4 +149 / -6 creativex@qq.com mowencangtian@gmail.com
convert.py
in inference
 73 1 2024-12-26 2025-02-05 6 5 +115 / -7 creativex@qq.com mowencangtian@gmail.com
kernel.py
in inference
 98 6 2024-12-26 2025-08-27 8 8 +304 / -24 creativex@qq.com youkaichao@gmail.com
model.py
in inference
 363 27 2024-12-26 2025-08-27 12 9 +1222 / -25 creativex@qq.com youkaichao@gmail.com
Correlations

File Size vs. Number of Changes: 5 points

inference/kernel.py x: 98 lines of code y: 8 # changes inference/model.py x: 363 lines of code y: 12 # changes inference/convert.py x: 73 lines of code y: 6 # changes inference/generate.py x: 125 lines of code y: 5 # changes inference/fp8_cast_bf16.py x: 63 lines of code y: 4 # changes
12.0
# changes
  min: 4.0
  average: 7.0
  25th percentile: 4.5
  median: 6.0
  75th percentile: 10.0
  max: 12.0
0 363.0
lines of code
min: 63.0 | average: 144.4 | 25th percentile: 68.0 | median: 98.0 | 75th percentile: 244.0 | max: 363.0

Number of Contributors vs. Number of Changes: 5 points

inference/kernel.py x: 8 # contributors y: 8 # changes inference/model.py x: 9 # contributors y: 12 # changes inference/convert.py x: 5 # contributors y: 6 # changes inference/generate.py x: 4 # contributors y: 5 # changes inference/fp8_cast_bf16.py x: 4 # contributors y: 4 # changes
12.0
# changes
  min: 4.0
  average: 7.0
  25th percentile: 4.5
  median: 6.0
  75th percentile: 10.0
  max: 12.0
0 9.0
# contributors
min: 4.0 | average: 6.0 | 25th percentile: 4.0 | median: 5.0 | 75th percentile: 8.5 | max: 9.0

Number of Contributors vs. File Size: 5 points

inference/kernel.py x: 8 # contributors y: 98 lines of code inference/model.py x: 9 # contributors y: 363 lines of code inference/convert.py x: 5 # contributors y: 73 lines of code inference/generate.py x: 4 # contributors y: 125 lines of code inference/fp8_cast_bf16.py x: 4 # contributors y: 63 lines of code
363.0
lines of code
  min: 63.0
  average: 144.4
  25th percentile: 68.0
  median: 98.0
  75th percentile: 244.0
  max: 363.0
0 9.0
# contributors
min: 4.0 | average: 6.0 | 25th percentile: 4.0 | median: 5.0 | 75th percentile: 8.5 | max: 9.0

Number of Changes vs. Line Churn: 19 points

inference/kernel.py x: 8 # changes y: 328 line churn inference/model.py x: 12 # changes y: 1247 line churn inference/configs/config_v3.1.json x: 1 # changes y: 23 line churn README.md x: 25 # changes y: 776 line churn CITATION.cff x: 3 # changes y: 645 line churn .github/workflows/stale.yml x: 1 # changes y: 60 line churn inference/convert.py x: 6 # changes y: 122 line churn inference/generate.py x: 5 # changes y: 245 line churn .gitignore x: 3 # changes y: 176 line churn inference/fp8_cast_bf16.py x: 4 # changes y: 155 line churn LICENSE-MODEL x: 1 # changes y: 91 line churn README_WEIGHTS.md x: 1 # changes y: 94 line churn inference/configs/config_16B.json x: 1 # changes y: 19 line churn inference/requirements.txt x: 1 # changes y: 4 line churn
1247.0
line churn
  min: 4.0
  average: 215.32
  25th percentile: 21.0
  median: 91.0
  75th percentile: 245.0
  max: 1247.0
0 25.0
# changes
min: 1.0 | average: 4.05 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 5.0 | max: 25.0

Number of Contributors vs. Line Churn: 5 points

inference/kernel.py x: 8 # contributors y: 328 line churn inference/model.py x: 9 # contributors y: 1247 line churn inference/convert.py x: 5 # contributors y: 122 line churn inference/generate.py x: 4 # contributors y: 245 line churn inference/fp8_cast_bf16.py x: 4 # contributors y: 155 line churn
1247.0
line churn
  min: 122.0
  average: 419.4
  25th percentile: 138.5
  median: 245.0
  75th percentile: 787.5
  max: 1247.0
0 9.0
# contributors
min: 4.0 | average: 6.0 | 25th percentile: 4.0 | median: 5.0 | 75th percentile: 8.5 | max: 9.0

File Size vs. Line Churn: 5 points

inference/kernel.py x: 98 lines of code y: 328 line churn inference/model.py x: 363 lines of code y: 1247 line churn inference/convert.py x: 73 lines of code y: 122 line churn inference/generate.py x: 125 lines of code y: 245 line churn inference/fp8_cast_bf16.py x: 63 lines of code y: 155 line churn
1247.0
line churn
  min: 122.0
  average: 419.4
  25th percentile: 138.5
  median: 245.0
  75th percentile: 787.5
  max: 1247.0
0 363.0
lines of code
min: 63.0 | average: 144.4 | 25th percentile: 68.0 | median: 98.0 | 75th percentile: 244.0 | max: 363.0