polars-lprof
Read line_profiler reports into Polars DataFrames
Installation
The polars-lprof package can be installed with either polars or polars-lts-cpu using the extras
by those names:
pip install polars-lprof[polars]
pip install polars-lprof[polars-lts-cpu]
If Polars is already installed, you can simply pip install polars-lprof.
Usage
Note: use this tool after running Python code with
@line_profiler.profiledecorators on functions which will output.txtplain text reports on the program's performance. Theline_profilertool relies on the environment variable set withexport LINE_PROFILE=1.
First run your line_profiler (in whichever variations you want) and then use this tool to analyse
the performance reports (named like profile_output_2025-02-04T002856.txt). The most recent one
will always be called profile_output.txt but often we want to collect multiple for review.
plprof profile_output.txt
Use it from Python as a library:
from plprof import parse_lprof
metadata, lines = parse_lprof("profile_output.txt")
1 maintainer
Metadata
1 maintainer
Release files for polars-lprof 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| polars_lprof-0.1.2.tar.gz | 4.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| polars_lprof-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.3 kB
Release files / polars_lprof-0.1.2.tar.gz
| Download URL | polars_lprof-0.1.2.tar.gz |
|---|---|
| Size | 4.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e4aa05dd18da719c207b49e5887544997f6adc2576fc2e5d8a4fadd88b489bb0
|
|
BLAKE2b-256 checksum How to use checksums |
f3e9aab1a83f3d97b484b40c025c36871f904d837d0ea8869dc7267b7c7752f6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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 Apr 16, 2026.
Transparency logRelease files / polars_lprof-0.1.2-py3-none-any.whl
| Download URL | polars_lprof-0.1.2-py3-none-any.whl |
|---|---|
| Size | 5.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e51f7559a0823ab480cd38d10705b7214b2b9c4648246db73285e1e4f0b5f8fe
|
|
BLAKE2b-256 checksum How to use checksums |
83a386e89602c8507ebc23defaa7fc60df71326a424c853d5b8ca75f1ab13d0e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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 Apr 16, 2026.
Transparency log
