File Size Overall
  • There are 33 files with 9,838 lines of code.
    • 1 very long files (2,689 lines of code)
    • 3 long files (1,835 lines of code)
    • 11 medium size files (3,134 lines of code)
    • 13 small files (1,799 lines of code)
    • 5 very small files (381 lines of code)
27% | 18% | 31% | 18% | 3%
Legend:
1001+
501-1000
201-500
101-200
1-100


explore: grouped by folders | grouped by size | sunburst | 3D view
File Size per Extension
1001+
501-1000
201-500
101-200
1-100
html90% | 0% | 9% | 0% | 0%
py0% | 29% | 42% | 22% | 4%
yaml0% | 0% | 34% | 65% | 0%
js0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
productivity100% | 0% | 0% | 0% | 0%
bio-research0% | 27% | 42% | 26% | 3%
small-business0% | 0% | 100% | 0% | 0%
.github0% | 0% | 0% | 0% | 100%
data0% | 0% | 0% | 0% | 100%
Longest Files (Top 33)
File# lines# units
dashboard.html
in productivity/skills
2689 -
validate_asm.py
in bio-research/skills/instrument-data-to-allotrope/scripts
815 24
sra_geo_fetch.py
in bio-research/skills/nextflow-development/scripts
511 11
ncbi_utils.py
in bio-research/skills/nextflow-development/scripts/utils
509 16
convert_to_asm.py
in bio-research/skills/instrument-data-to-allotrope/scripts
386 11
manage_genomes.py
in bio-research/skills/nextflow-development/scripts
368 9
check_environment.py
in bio-research/skills/nextflow-development/scripts
348 9
model_utils.py
in bio-research/skills/scvi-tools/scripts
319 10
artifact-example.html
in small-business/shared/reference
295 -
generate_samplesheet.py
in bio-research/skills/nextflow-development/scripts
288 10
validate_adata.py
in bio-research/skills/scvi-tools/scripts
253 7
export_parser.py
in bio-research/skills/instrument-data-to-allotrope/scripts
234 6
train_model.py
in bio-research/skills/scvi-tools/scripts
233 7
sarek.yaml
in bio-research/skills/nextflow-development/scripts/config/pipelines
209 -
detect_data_type.py
in bio-research/skills/nextflow-development/scripts
201 6
validators.py
in bio-research/skills/nextflow-development/scripts/utils
171 8
atacseq.yaml
in bio-research/skills/nextflow-development/scripts/config/pipelines
167 -
sample_inference.py
in bio-research/skills/nextflow-development/scripts/utils
161 7
qc_analysis.py
in bio-research/skills/single-cell-rna-qc/scripts
155 -
qc_plotting.py
in bio-research/skills/single-cell-rna-qc/scripts
153 3
flatten_asm.py
in bio-research/skills/instrument-data-to-allotrope/scripts
153 7
integrate_datasets.py
in bio-research/skills/scvi-tools/scripts
135 3
rnaseq.yaml
in bio-research/skills/nextflow-development/scripts/config/pipelines
130 -
differential_expression.py
in bio-research/skills/scvi-tools/scripts
129 3
transfer_labels.py
in bio-research/skills/scvi-tools/scripts
125 3
cluster_embed.py
in bio-research/skills/scvi-tools/scripts
111 3
genomes.yaml
in bio-research/skills/nextflow-development/scripts/config
108 -
file_discovery.py
in bio-research/skills/nextflow-development/scripts/utils
101 5
external-pr-scope.js
in .github/scripts
99 7
prepare_data.py
in bio-research/skills/scvi-tools/scripts
87 2
qc_core.py
in bio-research/skills/single-cell-rna-qc/scripts
80 6
package_data_skill.py
in data/skills/data-context-extractor/scripts
68 3
__init__.py
in bio-research/skills/nextflow-development/scripts/utils
47 -
Large Files That Change Often (Top 5)
To change a file, an AI coding agent (or a person) has to read it: these files are read the most for the changes in the past year (lines × changes).
File# lines≈ tokens
to read
# changes
(1y)
≈ lines edited
per change
lines read per
line changed
dashboard.html
in productivity/skills
2689 ~15k–50k 2 ~50 ~50
check_environment.py
in bio-research/skills/nextflow-development/scripts
348 ~2k–5k 2 ~7 ~50
detect_data_type.py
in bio-research/skills/nextflow-development/scripts
201 ~1k–3k 2 ~2 ~100
artifact-example.html
in small-business/shared/reference
295 ~2k–5k 1 ~300 ~1
external-pr-scope.js
in .github/scripts
99 ~500–1.5k 1 ~150 ~1

Tokens are lines × 7 to 14 (analysis.fileReadsForChanges). Lines edited per change are the file's lines added and deleted divided by its commits over the whole history. Agents read about 2,000 lines at a time: when a 17,000-line file was split into modules, the tokens an agent read for the same change fell by 83% (The Economic Benefit of Refactoring, 2026).

Files With Most Units (Top 25)
File# lines# units
validate_asm.py
in bio-research/skills/instrument-data-to-allotrope/scripts
815 24
ncbi_utils.py
in bio-research/skills/nextflow-development/scripts/utils
509 16
sra_geo_fetch.py
in bio-research/skills/nextflow-development/scripts
511 11
convert_to_asm.py
in bio-research/skills/instrument-data-to-allotrope/scripts
386 11
model_utils.py
in bio-research/skills/scvi-tools/scripts
319 10
generate_samplesheet.py
in bio-research/skills/nextflow-development/scripts
288 10
check_environment.py
in bio-research/skills/nextflow-development/scripts
348 9
manage_genomes.py
in bio-research/skills/nextflow-development/scripts
368 9
validators.py
in bio-research/skills/nextflow-development/scripts/utils
171 8
validate_adata.py
in bio-research/skills/scvi-tools/scripts
253 7
train_model.py
in bio-research/skills/scvi-tools/scripts
233 7
sample_inference.py
in bio-research/skills/nextflow-development/scripts/utils
161 7
flatten_asm.py
in bio-research/skills/instrument-data-to-allotrope/scripts
153 7
external-pr-scope.js
in .github/scripts
99 7
qc_core.py
in bio-research/skills/single-cell-rna-qc/scripts
80 6
detect_data_type.py
in bio-research/skills/nextflow-development/scripts
201 6
export_parser.py
in bio-research/skills/instrument-data-to-allotrope/scripts
234 6
file_discovery.py
in bio-research/skills/nextflow-development/scripts/utils
101 5
qc_plotting.py
in bio-research/skills/single-cell-rna-qc/scripts
153 3
cluster_embed.py
in bio-research/skills/scvi-tools/scripts
111 3
differential_expression.py
in bio-research/skills/scvi-tools/scripts
129 3
integrate_datasets.py
in bio-research/skills/scvi-tools/scripts
135 3
transfer_labels.py
in bio-research/skills/scvi-tools/scripts
125 3
package_data_skill.py
in data/skills/data-context-extractor/scripts
68 3
prepare_data.py
in bio-research/skills/scvi-tools/scripts
87 2
Files With Long Lines (Top 6)

There are 6 files with lines longer than 120 characters. In total, there are 63 long lines.

File# lines# units# long lines
dashboard.html
in productivity/skills
2689 - 35
ncbi_utils.py
in bio-research/skills/nextflow-development/scripts/utils
509 16 11
qc_analysis.py
in bio-research/skills/single-cell-rna-qc/scripts
155 - 9
artifact-example.html
in small-business/shared/reference
295 - 5
external-pr-scope.js
in .github/scripts
99 7 2
export_parser.py
in bio-research/skills/instrument-data-to-allotrope/scripts
234 6 1
Correlations

File Size vs. Commits (all time): 5 points

small-business/shared/reference/artifact-example.html x: 1 commits (all time) y: 295 lines of code productivity/skills/dashboard.html x: 2 commits (all time) y: 2689 lines of code .github/scripts/external-pr-scope.js x: 1 commits (all time) y: 99 lines of code bio-research/skills/nextflow-development/scripts/check_environment.py x: 2 commits (all time) y: 348 lines of code bio-research/skills/nextflow-development/scripts/detect_data_type.py x: 2 commits (all time) y: 201 lines of code
2689.0
lines of code
  min: 99.0
  average: 726.4
  25th percentile: 150.0
  median: 295.0
  75th percentile: 1518.5
  max: 2689.0
0 2.0
commits (all time)
min: 1.0 | average: 1.6 | 25th percentile: 1.0 | median: 2.0 | 75th percentile: 2.0 | max: 2.0

File Size vs. Contributors (all time): 5 points

small-business/shared/reference/artifact-example.html x: 1 contributors (all time) y: 295 lines of code productivity/skills/dashboard.html x: 1 contributors (all time) y: 2689 lines of code .github/scripts/external-pr-scope.js x: 1 contributors (all time) y: 99 lines of code bio-research/skills/nextflow-development/scripts/check_environment.py x: 2 contributors (all time) y: 348 lines of code bio-research/skills/nextflow-development/scripts/detect_data_type.py x: 2 contributors (all time) y: 201 lines of code
2689.0
lines of code
  min: 99.0
  average: 726.4
  25th percentile: 150.0
  median: 295.0
  75th percentile: 1518.5
  max: 2689.0
0 2.0
contributors (all time)
min: 1.0 | average: 1.4 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 2.0 | max: 2.0

File Size vs. Commits (30 days): 1 points

small-business/shared/reference/artifact-example.html x: 1 commits (30d) y: 295 lines of code
295.0
lines of code
  min: 295.0
  average: 295.0
  25th percentile: 295.0
  median: 295.0
  75th percentile: 295.0
  max: 295.0
0 1.0
commits (30d)
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

File Size vs. Contributors (30 days): 1 points

small-business/shared/reference/artifact-example.html x: 1 contributors (30d) y: 295 lines of code
295.0
lines of code
  min: 295.0
  average: 295.0
  25th percentile: 295.0
  median: 295.0
  75th percentile: 295.0
  max: 295.0
0 1.0
contributors (30d)
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0

File Size vs. Commits (90 days): 2 points

small-business/shared/reference/artifact-example.html x: 1 commits (90d) y: 295 lines of code productivity/skills/dashboard.html x: 2 commits (90d) y: 2689 lines of code
2689.0
lines of code
  min: 295.0
  average: 1492.0
  25th percentile: 295.0
  median: 1492.0
  75th percentile: 2689.0
  max: 2689.0
0 2.0
commits (90d)
min: 1.0 | average: 1.5 | 25th percentile: 1.0 | median: 1.5 | 75th percentile: 2.0 | max: 2.0

File Size vs. Contributors (90 days): 2 points

small-business/shared/reference/artifact-example.html x: 1 contributors (90d) y: 295 lines of code productivity/skills/dashboard.html x: 1 contributors (90d) y: 2689 lines of code
2689.0
lines of code
  min: 295.0
  average: 1492.0
  25th percentile: 295.0
  median: 1492.0
  75th percentile: 2689.0
  max: 2689.0
0 1.0
contributors (90d)
min: 1.0 | average: 1.0 | 25th percentile: 1.0 | median: 1.0 | 75th percentile: 1.0 | max: 1.0
About This Analysis
  • File size measurements show the distribution of size of files.
  • Files are classified in four categories based on their size (lines of code): 1-100 (very small files), 101-200 (small files), 201-500 (medium size files), 501-1000 (long files), 1001+(very long files).
  • It is a good practice to keep files small. Long files may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.
Learn more...