Skip to main content

dlen

Check how long your functions and classes are.

A long function is the cheapest smell to detect and the most reliable one to act on. dlen tells you which ones crossed the line, and where.

$ dlen src/
src/importer.py:42:1: DL001 function 'process_batch' is 61 lines (max 40)
src/importer.py:88:5: DL001 function 'validate' is 28 lines (warn 25)
src/models.py:7:1: DL002 class 'LegacyRecord' is 812 lines (max 500)

It counts the code you have to read: not the docstring, not the blank lines.

Install

uv tool install dlen     # or: pipx install dlen, pip install dlen

Python 3.10 or newer. No dependencies.

Use

dlen src/ tests/                 # files, directories, or both
dlen . --max-function 30         # your project, your thresholds
dlen . --output-format=json      # for other tools
Flag Default Meaning
--warn-function N 25 report a function above N lines, without failing
--max-function N 40 fail on a function above N lines
--max-class N 500 fail on a class above N lines
--output-format full full, github or json

What counts as a line

Decorators count — they are part of what you read before you understand the function.

Docstrings and blank lines do not. Counting them meant punishing you for documenting: a well-written docstring pushed a short function over the limit. rich.inspect is 54 lines on screen and 7 statements of code; flagging it was simply wrong.

Comments do count. They are text you read to understand the code, not text that describes the interface.

Where the defaults come from

They were measured, not chosen. Over 28,390 functions in the Python standard library, numpy, Pillow, rich, pytest, httpx, mypy and coverage, counted the way above:

lines functions flagged
over 12 25.0%
over 20 14.6%
over 25 10.8% ← --warn-function
over 30 8.3%
over 40 5.3% ← --max-function
over 50 3.6%

The median function out there is 5 lines, and that holds across all eight codebases. --max-function sits where it flags about 5% — a list you can work through on a Tuesday — and --warn-function around 10%, close enough to notice before it becomes a problem.

The class limit is the one number from 2017 the data supports: 500 flags 2.2% of classes, and a class that long really is a god object. It stays.

If you want the stricter Clean Code reading, it is one flag away:

dlen src/ --warn-function 12 --max-function 20

Versions before 0.2.0 shipped 12 and 20. 0.3.0 stopped counting docstrings and blank lines, which made every function measure shorter, so the thresholds came down with it.

Exit codes

Code When
0 nothing found, or only warnings
1 something was over a max, or a file could not be parsed
2 bad arguments

Warnings never fail the build. That is the point of having two thresholds: one to nudge, one to stop.

Rules

Code Rule
DL001 function is too long
DL002 class is too long
DL900 file could not be read or parsed

In CI

--output-format=github puts each finding on the diff of the pull request instead of burying it in a log:

- run: uvx dlen src --output-format=github

As a library

The core returns data and prints nothing, so you can build your own reporting on it:

from pathlib import Path
from dlen import Limits, check_paths

findings = check_paths([Path("src")], Limits(max_function=30))
for finding in findings:
    print(finding.code, finding.path, finding.line, finding.message)

Every call returns a fresh list. Two runs never see each other's findings.

How it measures

dlen parses your code with Python's own ast module, so it agrees with Python about what a function is. It sees async def, decorators, nested functions and methods, and it is not fooled by the word def inside a string or a comment.

Versions before 0.1.0 matched text with regular expressions and had been broken on Python 3 since 2017. 0.1.0 is a rewrite: the counts are now correct rather than compatible, and the output carries file, line and column.

Licence

MIT.

Metadata

Release files for dlen 0.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dlen 0.3.0
File Size Uploaded Provenance Actions
dlen-0.3.0.tar.gz 10.9 kB With provenance Details for dlen-0.3.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for dlen 0.3.0
File Interpreter ABI Platform Actions
dlen-0.3.0-py3-none-any.whl Python 3 none any Details for dlen-0.3.0-py3-none-any.whl

Total release size: 19.4 kB

Release files / dlen-0.3.0.tar.gz

Download URL dlen-0.3.0.tar.gz
Size 10.9 kB
Tags Source
SHA-256 checksum
How to use checksums
84f871a8dac0cf37162308cf7821742bed31799f8219c6207d11ff4755c43567
BLAKE2b-256 checksum
How to use checksums
9671d40cf5db471b041151434aadf39a51147a805bbe2678e5b383edff2edfa0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 17, 2026.

Transparency log

Release files / dlen-0.3.0-py3-none-any.whl

Download URL dlen-0.3.0-py3-none-any.whl
Size 8.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d4161f7f1ceef53c54363db0d33a3c62e15d9151d6271aed20d45085715b05c1
BLAKE2b-256 checksum
How to use checksums
bffdeef66396cfc96bbf4ed042e398501d4b574ac803e32058df67bb920d4e47
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 17, 2026.

Transparency log

Security for dlen 0.3.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

Both files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for dlen-0.3.0.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 17, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page