Skip to main content

Metrix++

Metrix++ Tests Upload Python Package

Metrix++ is an extendable tool for code metrics collection and analysis. Check projects documentation for additional information:

Thank you for using the tool!

Installation

Metrix++ is published on PyPi as metrixpp and can be installed using pip:

pip install metrixpp

Alternatively you can download the archive with the latest stable version and unpack it to some folder. The first run of the tool will trigger the installation within the folder, where it was launched.

For more installation options, please, check this documentation

Issue tracker and feedback

Have got a bug or a feature request or any feedback? Please submit a ticket.

Be aware of some limitations.

MIT

Metadata

Release files for metrixpp 1.8.1

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

Source distribution (sdist)

Source distribution for metrixpp 1.8.1
File Size Uploaded
metrixpp-1.8.1.tar.gz 61.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for metrixpp 1.8.1
File Interpreter ABI Platform
metrixpp-1.8.1-py3-none-any.whl Python 3 none any Details

Total release size: 151.2 kB

Release files / metrixpp-1.8.1.tar.gz

Download URL metrixpp-1.8.1.tar.gz
Size 61.0 kB
Tags Source
SHA-256 checksum
How to use checksums
44e3ffd0c7d7e0916f3503f3a8478d7b0b44cf8870b1c17d8b6535426707c664
BLAKE2b-256 checksum
How to use checksums
0ccd4f8ce9aa2795107d87ce32fd9da782e72141f49dcf28692c75efd20415da
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.2

Release files / metrixpp-1.8.1-py3-none-any.whl

Download URL metrixpp-1.8.1-py3-none-any.whl
Size 90.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
785a573cee2a48be61bf615845d5dc56870bab7e1c2d5dde533f5b23c199c112
BLAKE2b-256 checksum
How to use checksums
6e58702c37b8097b4d90989090a693e8673824cb489519b2f6c4fb5ffba1945f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.2

Release history Release notifications | RSS feed

This release

1.8.1 This release

2 release files

1.7.1

2 release files

1.7.0

2 release files

1.6.2

2 release files

1.6.0

2 release files

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