Skip to main content

Locuplot

Locuplot is a python application to generate graph based on locust statistics reporting.

Usage

Install

Locuplot is available on pypi registry, you can:

pip install locuplot

Usage

There is a help command locuplot -h

To use this project, there is 3 arguments to give. locuplot -d example\stats -p sample -e dist

Arguments list:

  • -d | --directory => Specify the folder where the locust stats are.
  • -p | --prefix => The prefix you gave to locust for generated stats
  • -e | --export => The export directory you want png and html generated files (default to ./dist)

Local setup

Make sure to install poetry first. Then, make a poetry install in the project root directory.

To execute locuplot locally, use this commands:

poetry run locuplot -d example\stats -p sample

For further information you can display the helper like this:

poetry run locuplot -h

Commands

These custom commands are launched via poetry and an awesome plugin named taskipy. Go check out this project !

Non exhaustive custom commands:

Command Description
poetry run task locust Run sample locust test
poetry run task jupyter Launch jupyter notebook with example statistics

Metadata

Release files for locuplot 0.1.3

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

Source distribution (sdist)

Source distribution for locuplot 0.1.3
File Size Uploaded Provenance
locuplot-0.1.3.tar.gz 6.4 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for locuplot 0.1.3
File Interpreter ABI Platform
locuplot-0.1.3-py3-none-any.whl Python 3 none any Details

Total release size: 14.7 kB

Release files / locuplot-0.1.3.tar.gz

Download URL locuplot-0.1.3.tar.gz
Size 6.4 kB
Tags Source
SHA-256 checksum
How to use checksums
1eb620cc24d38852e66f702bb659f2a64a80ca19eb0f85ae29380c7f609baf69
BLAKE2b-256 checksum
How to use checksums
7c7b466e5fbed96e6eda5e69c53a8ce0071eaf1833f3ac278078bc031d8eb95c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.0.5 CPython/3.8.2 Windows/10

Release files / locuplot-0.1.3-py3-none-any.whl

Download URL locuplot-0.1.3-py3-none-any.whl
Size 8.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
f4cceaa8779ff30f64ee7e5e1650909fa6525dd82fbf9f46799283e7ee35a11d
BLAKE2b-256 checksum
How to use checksums
42ecc232e705af7b1d7d70f68ec65b8baf14022d38be05c083f308e5352afef8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.0.5 CPython/3.8.2 Windows/10

Security for locuplot 0.1.3

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.

No provenance found

None of the files in this release were uploaded with provenance metadata.

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