semvec/pypi-packages huggingface dataset:
tucavoc 0.3.0
Application to calculate concentration and uncertainties of chromatography measurements
Requires Python: >=3.10
Keywords: area, calculation, chromatography, concentration, measurements, uncertainties

# TUCAVOC


[![Documentation Status](https://readthedocs.org/projects/tucavoc/badge/?version=latest)](https://tucavoc.readthedocs.io/en/latest/?badge=latest)


Tucavoc is a python program for calculating uncertainties.

Please read our [documentation](https://tucavoc.readthedocs.io/)
llm-graph-kit 0.3.1
Add your description here
Requires Python: >=3.13.9

# llm-graph-kit

## 概要
LLMベースのエージェント作成ライブラリです。エージェントの動作内容をグラフ形式で作成できます。
さらに、作成したグラフの可視化機能（Mermaid記法）があります。

## 環境構築と依存ライブラリの導入
仮想環境を構築します。
```
uv venv
```
仮想環境を起動します。
```
source .venv/bin/activate
```
必要な依存ライブラリをインストールします。
```
uv sync --prerelease=allow
```
jiobharatiq-server 3.1.0
JioBharatIQ — Jio Design System MCP Knowledge Server
Requires Python: >=3.9
Keywords: design-system, jds, jio, mcp, model-context-protocol

# JDS Knowledge Server

MCP server for Jio Design System — components, tokens, icons, Figma references.

## Install

### One-time setup: install uv

```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
```

### Configure your AI tool

**Claude Desktop** — Settings > Developer > Edit Config:

```json
{
  "mcpServers": {
    "JioBharatIQ": {
      "command": "uvx",
      "args": ["jiobharatiq-server"]
    }
  }
}
```

**Cursor** — Settings > MCP > Add Server:

```json
{
  "mcpServers": {
    "JioBharatIQ": {
      "command": "uvx",
      "args": ["jiobharatiq-server"]
    }
  }
}
```

**Claude Code (CLI)**:

```bash
claude mcp add JioBharatIQ -- uvx jiobharatiq-server
```

Restart the app. That's it.

## What you get

5 tools inside Claude Desktop / Cursor:

| Ask Claude... | Tool used |
|--------------|-----------|
| "How do I use Button?" | `lookup_component` |
| "What's primary-50 color?" | `resolve_token` |
| "Find a calendar icon" | `find_icon` |
| "Where's the homepage Figma?" | `get_figma_reference` |
| "Get assets for my project" | `get_assets` |

## 21 Components

Button, InputField, Card, Modal, BottomSheet, Avatar, Tabs, Toast, Accordion, Divider, Badge, BottomNav, Container, Spinner, Skeleton, PromoCard, ServiceCard, ContentBlock, Carousel, RatingBar, Text

## Token Categories

- **colors** — primary, secondary, sparkle, feedback, grey, global
- **typography** — heading (6), body (6), overline, button, label, code
- **spacing** — xxs to massive (10 sizes)
- **border_radius** — none to pill (8 sizes)
- **opacity** — invisible, disabled, enabled

## 1301 Icons (15 categories)

communication, media, navigation, action, content, device, image, file, social, places, toggle, time, editor, commerce, hardware

## 9 Figma References

homepage, menu, chat_page, media_page, assistants_page, tools_page, oneui_design_kit, jio_testlab, chat_input

## Assets (GitHub CDN)

All assets served via GitHub CDN — no local files needed:
- **Fonts**: 18 JioType weights (WOFF2 for web, TTF for native)
- **Animations**: HelloJio idle + listening (MP4)
- **Icons**: 71 JSX components + 1230 SVG icons

## How updates work

New version published to PyPI → team gets it on next app restart. No action needed.

Force immediate update:
```bash
uvx --upgrade jiobharatiq-server
```

## Troubleshooting

**Tools not showing?** Restart the app after adding config.

**uvx not found?** Run `curl -LsSf https://astral.sh/uv/install.sh | sh` then restart your terminal.

**Slow first run?** Normal — uvx downloads the package + Python runtime (~10 sec, cached after).

## Security

- JSON-only responses, no internal reasoning exposed
- Input sanitization + injection protection
- No file paths or secrets in output
- Method and tool whitelisting

---

Jio Design System | v3.1.0
pyausaxs 1.1.2
An efficient small-angle Debye scattering calculator.
Requires Python: >=3.10

![title_light](../media/title_dark.png?raw=true#gh-light-mode-only)
![title_dark](../media/title_light.png?raw=true#gh-dark-mode-only)

[![pip install](https://img.shields.io/badge/pip%20install-pyausaxs-blue)](#installation)
[![Python version](https://img.shields.io/badge/python-%3E%3D3.9-blue)](https://python.org/downloads)
[![PyPI - Version](https://img.shields.io/pypi/v/pyausaxs)](https://pypi.org/project/pyausaxs)
[![PyPI - Downloads](https://img.shields.io/pypi/dm/pyausaxs)](https://pypistats.org/packages/pyausaxs)

Welcome to `pyAUSAXS`, the perhaps fastest Python tool for evaluating the scattering intensity of biological samples and crystals. 
`pyAUSAXS` is a Python wrapper around [`AUSAXS`](https://github.com/AUSAXS/AUSAXS), the high-performance C++ backend, offering easy
access to most of its features. 

## Who is this for?
`pyAUSAXS` offers highly efficient calculation of the expected scattering intensity of your structures. These calculations include
form factors, and hydration shell & excluded volume modeling. Calculations without these solvent effects are also possible, if only
the pure Debye calculation is of interest. For a full overview of how it works, see the `AUSAXS` article:
[10.1107/S160057672500562X](https://doi.org/10.1107/S160057672500562X).

## Installation
To install, simply run:
```bash
pip install pyausaxs
```
and you are good to go!

## Usage
Proper documentation is currently being written. For now, please refer to the runnable examples [here](https://github.com/AUSAXS/pyAUSAXS/tree/master/examples).

## Contributing
Are you encountering problems, have feedback or suggestions, or are you considering contributing to the project? Please check out the [contributor guidelines](CONTRIBUTING.md).

## Citation
If you use `pyAUSAXS` in published work, please cite the following paper:
Small-angle X-ray scattering profile calculation for high-resolution models of biomacromolecules  
(doi: [10.1107/S160057672500562X](https://doi.org/10.1107/S160057672500562X))

*This project is licenced under the GNU Lesser General Public Licence v3.0.*