semvec/pypi-packages huggingface dataset:
widget-optimade-client 0.1.0
A Jupyter widget for querying OPTIMADE-compatible providers
Requires Python: >=3.8

## OPTIMADE Client React App

A fully serverless single page app for interactively browsing optimade clients (as per https://www.optimade.org/providers-dashboard/).

Intended to be a lightweight and more maintainable solution to:
https://github.com/aiidalab/ipyoptimade

---

### Installation and running locally.

```sh
npm install
npm run dev
http://localhost:5173/mc-react-optimade-client/
```

### python anywidget

The querier is also exported as an AnyWidget that can be used in a Jupyter enviroment.

```sh
pip install widget-optimade-client
```

Usage:

```py
from optimadewidget.optimade_widget import OptimadeQuerierWidget
w = OptimadeQuerierWidget()
w

```

---
lightly-studio 0.4.8
LightlyStudio is a lightweight, fast, and easy-to-use data exploration tool for data scientists and engineers.
Requires Python: <3.14,>=3.8

<p align="center">
  <a href="https://lightly.ai/lightly-studio"> 
    <img src="https://cdn.prod.website-files.com/62cd5ce03261cba217188442/66dac501a8e9a90495970876_Logo%20dark-short-p-800.png" height="50" alt="LightlyStudio logo" />
  </a>
</p>
<p align="center"><strong>Curate, Annotate, and Manage Your Data in LightlyStudio.</strong></p>
<p align="center">
  <a href="https://pypi.org/project/lightly-studio">
    <img src="https://img.shields.io/pypi/pyversions/lightly-studio" alt="PyPI python" />
  </a>
  <a href="https://pypi.org/project/lightly-studio">
    <img src="https://badge.fury.io/py/lightly-studio.svg" alt="PyPI version" />
  </a>
  <a href="LICENSE">
    <img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg" alt="License" />
  </a>
  <a href="https://docs.lightly.ai/studio">
    <img src="https://img.shields.io/badge/Docs-blue" alt="Docs" />
  </a>
</p>

---

# Welcome to LightlyStudio!

We at **[Lightly](https://lightly.ai)** created **[LightlyStudio](https://www.lightly.ai/lightly-studio)**, an open-source tool designed to unify your data workflows from curation, annotation and management in a single tool. Since we're big fans of Rust we used it to speed things up. You can work with COCO and ImageNet on a Macbook Pro with M1 and 16GB of memory!

Explore [LightlyStudio on GitHub](https://github.com/lightly-ai/lightly-studio).

Learn more in our [documentation](https://docs.lightly.ai/studio).

<p align="center">
  <img alt="LightlyStudio Overview" src="https://storage.googleapis.com/lightly-public/studio/studio_overview.gif" width="70%">
  <br/>
  <em>Curate, Annotate, and Manage Your Data in LightlyStudio.</em>
</p>
config-toolkit 1.0.11
Lightweight configuration toolkit for Python applications
Requires Python: >=3.7
Keywords: config configuration toolkit settings env


# config-toolkit

Lightweight configuration toolkit for Python applications.

## Features
- Multi-source config loading (env, files, dicts)
- Environment variable prefix mapping
- Nested key access with dot notation
- Config validation and type coercion
- Thread-safe configuration management

## Installation
```
pip install config-toolkit
```

## Quick Start
```python
from config_toolkit import ConfigManager
cfg = ConfigManager(defaults={"debug": False})
```