Skip to main content

🍇 Supercharge your Python with rich logging, precise timing, and seamless serialization.

Project description

✨ 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:

uv add liblaf-grapes

⌨️ Local Development

You can use Github Codespaces for online development:

Or clone it for local development:

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 to get stuck in to show us what you're made of.

PR Welcome

Contributors

🔗 More Projects

  • 🍇 Grapes - Supercharge your Python with rich logging, precise timing, and seamless serialization.
  • 🍉 Melon - A comprehensive Python library for 3D mesh processing with advanced I/O capabilities, proximity analysis, and integration with external mesh processing tools.
  • 🍊 Tangerine - Squeeze dynamic content into your files with Tangerine's template magic.
  • 🍋‍🟩 Lime - AI-powered Git commit assistant and repository documentation generator
  • 🍎 Apple - A JAX and Warp library for differentiable physics simulation, featuring elastic energy models and finite element methods.
  • 🍒 Cherries - Sweet experiment tracking with Comet, DVC, and Git integration.

📝 License

Copyright © 2025 liblaf.
This project is MIT licensed.

Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

liblaf_grapes-8.10.4.tar.gz (43.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

liblaf_grapes-8.10.4-py3-none-any.whl (93.0 kB view details)

Uploaded Python 3

File details

Details for the file liblaf_grapes-8.10.4.tar.gz.

File metadata

  • Download URL: liblaf_grapes-8.10.4.tar.gz
  • Upload date:
  • Size: 43.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for liblaf_grapes-8.10.4.tar.gz
Algorithm Hash digest
SHA256 2fe4701d02815e8013be61d5e5424e5776fcad2713b78477a9533e58475b9d22
MD5 7c65665e8947aeb520e94891e5a357e3
BLAKE2b-256 fc6a5f0af0b6abb1fcec06ecb85a6c2ea7e8d4df396a817208be3efa4bd70772

See more details on using hashes here.

Provenance

The following attestation bundles were made for liblaf_grapes-8.10.4.tar.gz:

Publisher: release.yaml on liblaf/grapes

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file liblaf_grapes-8.10.4-py3-none-any.whl.

File metadata

  • Download URL: liblaf_grapes-8.10.4-py3-none-any.whl
  • Upload date:
  • Size: 93.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for liblaf_grapes-8.10.4-py3-none-any.whl
Algorithm Hash digest
SHA256 7ea2c1eeaa2a2315a778962d76faef55ce2c9e7274c85420cca0b73e38fd6b7f
MD5 b28cce084e06d8ab2f59f342809538b0
BLAKE2b-256 a5ff3c71921347e8fba9d00bcff847880c298077b30d19e29da642022c1e7b83

See more details on using hashes here.

Provenance

The following attestation bundles were made for liblaf_grapes-8.10.4-py3-none-any.whl:

Publisher: release.yaml on liblaf/grapes

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page