Sourcery Analytics
sourcery-analytics is a command line tool and library for statically analyzing Python code quality.
Get started by installing using pip:
pip install sourcery-analytics
This will install sourcery-analytics as a command-line tool.
To identify code quality issues:
sourcery-analytics assess path/to/file.py
Example:
sourcery-analytics assess sourcery_analytics/metrics
sourcery_analytics/metrics/cyclomatic_complexity.py:47: error: working_memory of cyclomatic_complexity is 34 exceeding threshold of 20
Found 1 errors.
To analyze a single Python file, use the analyze subcommand:
sourcery-analytics analyze path/to/file.py
Example:
sourcery-analytics analyze sourcery_analytics/analysis.py
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━┓
┃ Method ┃ length ┃ cyclomatic_complexity ┃ cognitive_complexity ┃ working_memory ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━┩
│ sourcery_analytics.analysis.analyze │ 5 │ 1 │ 0 │ 8 │
│ sourcery_analytics.analysis.analyze_methods │ 4 │ 1 │ 1 │ 12 │
└─────────────────────────────────────────────┴────────┴───────────────────────┴──────────────────────┴────────────────┘
Alternatively, import and run analysis using the library:
from sourcery_analytics import analyze_methods
source = """
def cast_spell(self, spell):
if self.power < spell.power:
raise InsufficientPower
print(f"{self.name} cast {spell.name}!")
"""
analyze_methods(source)
# [{'method_qualname': '.cast_spell', 'method_length': 3, 'method_cyclomatic_complexity': 1, 'method_cognitive_complexity': 1, 'method_working_memory': 6}]
For more, see the docs.
Repoanalysis.com
You can see how hundreds of top projects measure across different code quality metrics and see how your priojects compare at repoanalysis.com
Developed by Sourcery
Sourcery Analytics was originally developed by the team at Sourcery. Sourcery is an automated coding assistant to help Python developers review and improve their code while they work. Sourcery has a built in library of 100+ core rules and you can extend it further to create custom rules for any scenario.
Metadata
Release files for sourcery-analytics 1.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| sourcery-analytics-1.2.1.tar.gz | 20.0 kB | Without provenance | Details for sourcery-analytics-1.2.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| sourcery_analytics-1.2.1-py3-none-any.whl | Python 3 | none | any | Details for sourcery_analytics-1.2.1-py3-none-any.whl |
Total release size: 46.4 kB
Release files / sourcery-analytics-1.2.1.tar.gz
| Download URL | sourcery-analytics-1.2.1.tar.gz |
|---|---|
| Size | 20.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.2.1 CPython/3.9.9 Linux/5.15.0-1020-azure
|
Release files / sourcery_analytics-1.2.1-py3-none-any.whl
| Download URL | sourcery_analytics-1.2.1-py3-none-any.whl |
|---|---|
| Size | 26.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.2.1 CPython/3.9.9 Linux/5.15.0-1020-azure
|
Security for sourcery-analytics 1.2.1
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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