01
Structured error logging
Capture exceptions with traceback details and a unique error identifier for easier follow-up.
PYTHON UTILITIES · OPEN SOURCE
Errors happen.
Track them.
HyperLog is a Python utility library built to make error logging clearer and debugging less painful. Focus on building. Keep useful context when things break.
Latest published version ·
hyperlog-tools 0.1.1example.pyPython
# Capture useful error context
from hyperlog import log_exception
try:
result = 10 / 0
except Exception as error:
error_id = log_exception(
error,
context={"module": "worker"}
)
print(error_id)
# Keep debugging details accessible.
from hyperlog import log_exception
try:
result = 10 / 0
except Exception as error:
error_id = log_exception(
error,
context={"module": "worker"}
)
print(error_id)
# Keep debugging details accessible.
hyperlog / quick example● READY
Built for developers
Less noise. More context.
Small, practical utilities for everyday Python projects, with a focus on making failures easier to investigate.
02
Useful context
Attach lightweight metadata to an error so you can understand what your application was doing.
03
Simple integration
Install from PyPI and import the utilities directly into your existing Python codebase.
Start in seconds
Install HyperLog
Requires Python 3.10 or newer, according to the package metadata.
python -m pip install hyperlog-tools
Distribution name: hyperlog-tools · Import name: hyperlog
Quick reference
Start with the essentials.
Use the library's currently available functions. Check the repository README for the latest implementation details.
log_exception(error, context=None)
Record exception details and optional context. Returns an error identifier that can be used when investigating a failure.
get_log_file()
Get the configured path to the log file used by the library.
reset_logger()
Close the library's current logging handlers when reinitialization is needed.
Read the full guide
Browse source code, usage examples, known issues, and current development status on GitHub. Open repository ↗
Security note: never intentionally pass passwords, bot tokens, API keys, or other secrets into logs. Redaction is not a guarantee that every secret will be detected.
Release channel
Published on PyPI.
Get the package from the official Python Package Index and follow development on GitHub.
Release details are currently static. Update this section when you publish a new version.