liblaf-grapes 9.1.0
🍇 Supercharge your Python with rich logging, precise timing, and seamless serialization.
Requires Python: >=3.12

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**[Explore the docs »](https://liblaf.github.io/grapes/)**

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[Changelog](https://github.com/liblaf/grapes/blob/main/CHANGELOG.md) · [Report Bug](https://github.com/liblaf/grapes/issues) · [Request Feature](https://github.com/liblaf/grapes/issues)

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## ✨ Features

- 🎨 **Rich Logging:** Beautiful, structured logging with loguru integration, multiple output formats (rich console, JSONL, file), and customizable profiles for different environments;
- ⏱️ **Precise Timing:** Easy-to-use timing decorators and context managers with detailed statistics (mean, median, stdev) and automatic logging integration;
- 📦 **Multi-Format Serialization:** Unified interface for JSON, TOML, and YAML serialization with Pydantic model support and customizable encoding/decoding hooks;
- 👥 **Human-Readable Formats:** Intelligent conversion of numbers, durations, and throughput into human-readable strings with appropriate units and precision;
- 🔄 **Progress Tracking:** Integrated progress bars with rich visualization, timing integration, and parallel processing support through joblib;
- ⚙️ **Smart Configuration:** Environment-aware configuration system using Pydantic with automatic environment variable parsing and type-safe settings.

## 📦 Installation

To install `liblaf-grapes`, run the following command:

```bash
uv add liblaf-grapes
```

## ⌨️ Local Development

You can use Github Codespaces for online development:

[![](https://github.com/codespaces/badge.svg)](https://codespaces.new/liblaf/grapes)

Or clone it for local development:

```bash
gh repo clone liblaf/grapes
cd grapes
mise run install
```

## 🤝 Contributing

Contributions of all types are more than welcome, if you are interested in contributing code, feel free to check out our GitHub [Issues](https://github.com/liblaf/grapes/issues) to get stuck in to show us what you're made of.

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## 🔗 More Projects

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- **[🍇 Grapes](https://github.com/liblaf/grapes)** - Supercharge your Python with rich logging, precise timing, and seamless serialization.
- **[🍉 Melon](https://github.com/liblaf/melon)** - A comprehensive Python library for 3D mesh processing with advanced I/O capabilities, proximity analysis, and integration with external mesh processing tools.
- **[🍊 Tangerine](https://github.com/liblaf/tangerine)** - Squeeze dynamic content into your files with Tangerine's template magic.
- **[🍋‍🟩 Lime](https://github.com/liblaf/lime)** - AI-powered Git commit assistant and repository documentation generator
- **[🍎 Apple](https://github.com/liblaf/apple)** - A JAX and Warp library for differentiable physics simulation, featuring elastic energy models and finite element methods.
- **[🍒 Cherries](https://github.com/liblaf/cherries)** - Sweet experiment tracking with Comet, DVC, and Git integration.
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#### 📝 License

Copyright © 2025 [liblaf](https://github.com/liblaf). <br />
This project is [MIT](https://github.com/liblaf/grapes/blob/main/LICENSE) licensed.