An open-source Python library for finding bottlenecks in code. Includes function profiling, data exports, logging, and even line-by-line profiling, for more control.
Project description
FuncProfiler
An open-source Python library for identifying bottlenecks in code. It includes function profiling, data exports, logging, and line-by-line profiling for more granular control.
Changelog (v.1.1.0):
- Added support for 2 new export formats:
yamlandtoml. - Exports now include more information: peak memory usage, timestamp, arguments, return value, filepath, line number, and docstring.
- Added
enabledandlog_leveloptions to the decorators. - Improved export formats for better readability.
Installation
You can install FuncProfiler using pip:
pip install funcprofiler
Supported Python Versions
FuncProfiler supports Python 3.6 and later.
Features
- Function Profiling: Monitor a function's memory usage and execution time.
- Line-by-Line Profiling: Get execution time and memory usage for each line of a function.
- Shared Logging: Log profiler outputs to a
.txtfile. - File Exports: Export profiling data in various formats.
- New Options:
enabled: A boolean to enable or disable profiling.log_level: Set the logging level to "info" or "debug".
Export Formats
| Format | function_profile |
line_by_line_profile |
|---|---|---|
txt |
✅ | ❌ |
json |
✅ | ✅ |
csv |
✅ | ✅ |
html |
✅ | ✅ |
xml |
✅ | ✅ |
md |
✅ | ✅ |
yaml |
✅ | ✅ |
toml |
✅ | ✅ |
Usage
Function Profiling
from funcprofiler import function_profile
@function_profile(export_format="html", shared_log=True, log_level="debug")
def some_function():
return "Hello World."
message = some_function()
Line-by-Line Profiling
from funcprofiler import line_by_line_profile
@line_by_line_profile(shared_log=True, enabled=True)
def some_complicated_function(n):
total = 0
for i in range(n):
for j in range(i):
total += (i * j) ** 0.5
return total
total = some_complicated_function(1000)
Contributing
Contributions are welcome! Please open an issue or submit a pull request on GitHub.
License
FuncProfiler is released under the MIT License (Modified). See the LICENSE file for details.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file funcprofiler-1.1.0.tar.gz.
File metadata
- Download URL: funcprofiler-1.1.0.tar.gz
- Upload date:
- Size: 7.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.25
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0ed3d9f29a916bc37027dc3cc873c9842b7abba64c9667d2b7aeaddb572afe83
|
|
| MD5 |
471218c1521c4843af39fb7ca3ff0889
|
|
| BLAKE2b-256 |
7e435c991daa3d4e8537a0ba6ebf511ab90a4b0c7b16cc186d32ec072f9602a5
|
File details
Details for the file funcprofiler-1.1.0-py3-none-any.whl.
File metadata
- Download URL: funcprofiler-1.1.0-py3-none-any.whl
- Upload date:
- Size: 7.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.25
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c3b8ca5d9678a4fc157166b95de931900e08dd23f4060c8a700bd3755228d660
|
|
| MD5 |
1017c273fc9602065cb5fa201363d8a6
|
|
| BLAKE2b-256 |
17aaee741f3d200b5c41fb09cf01b600fd16379948e6a084aa1f94c21b07c2d5
|