LogCore is a modern, production-ready logging library for Python.
It provides:
Simple one-line setup (get_logger("app"))
Structured logging (JSON or pretty text)
Correlation IDs for tracing across services
Automatic sensitive data redaction
Timer context manager for measuring execution time
Async and thread-safe support
Optional rotating file logging
Configuration via code or environment variables
What's the difference between this Python project and similar ones?
vs. built-in logging: no need to configure handlers/formatters manually; JSON logging, redaction, and correlation IDs are supported out of the box.
vs. loguru: adds correlation IDs, redaction, environment-based config, and async/thread-safe design while keeping a simple API.
vs. structlog: focuses on ease of adoption with sensible defaults and quick setup, while still supporting structured logs and production-ready features.
--
Anyone who agrees with this pull request could submit an Approve review to it.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/2765
**Author:** [@SarkarRana](https://github.com/SarkarRana)
**Created:** 9/28/2025
**Status:** ❌ Closed
**Base:** `master` ← **Head:** `master`
---
### 📝 Commits (1)
- [`163ca37`](https://github.com/vinta/awesome-python/commit/163ca37ff2d33a8ee500441e2bbb1c40353f3ee4) Update README.md
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
## What is this Python project?
[LogCore](https://github.com/SarkarRana/logcore) is a modern, production-ready logging library for Python.
It provides:
- Simple one-line setup (`get_logger("app")`)
- Structured logging (JSON or pretty text)
- Correlation IDs for tracing across services
- Automatic sensitive data redaction
- Timer context manager for measuring execution time
- Async and thread-safe support
- Optional rotating file logging
- Configuration via code or environment variables
## What's the difference between this Python project and similar ones?
- **vs. built-in logging**: no need to configure handlers/formatters manually; JSON logging, redaction, and correlation IDs are supported out of the box.
- **vs. loguru**: adds correlation IDs, redaction, environment-based config, and async/thread-safe design while keeping a simple API.
- **vs. structlog**: focuses on ease of adoption with sensible defaults and quick setup, while still supporting structured logs and production-ready features.
--
Anyone who agrees with this pull request could submit an *Approve* review to it.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/2765
Author: @SarkarRana
Created: 9/28/2025
Status: ❌ Closed
Base:
master← Head:master📝 Commits (1)
163ca37Update README.md📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
What is this Python project?
LogCore is a modern, production-ready logging library for Python.
It provides:
get_logger("app"))What's the difference between this Python project and similar ones?
--
Anyone who agrees with this pull request could submit an Approve review to it.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.