semvec/pypi-packages huggingface dataset:
coffy 0.2.5
Lightweight local NoSQL, SQL, and Graph embedded database engine
License: MIT
Requires Python: >=3.7

# Coffy: Local-First Embedded Database Engine for Python

[![PyPI](https://img.shields.io/pypi/v/coffy)](https://pypi.org/project/coffy/)
![PyPI Downloads](https://static.pepy.tech/badge/coffy)

**Coffy** is a lightweight, local-first embedded database engine supporting **NoSQL**, **SQL**, and **Graph** models — all in pure Python. Designed for fast prototyping, scripting, and local apps.

[coffydb.org](https://coffydb.org/)

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## Installation

```bash
pip install coffy
```

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![preview](https://github.com/nsarathy/Coffy/blob/main/assets/Coffy%20preview%20image.png)
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## Features

- Local persistence (JSON, SQLite)
- In-memory mode (`:memory:` or `None`)
- No server needed
- Logical and comparison operators
- Unified query interface
- Command Line Interface (CLI)

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## Engines

If you are viewing this from `coffydb.org`, you can find the documentation for each engine in the `NoSQL`, `Graph`, and `SQL` sections.


| Engine | Description | Docs |
|--------|-------------|------|
| `coffy.graph` | Local graph database (NetworkX-based) | [Graph Docs](https://github.com/nsarathy/Coffy/blob/main/Documentation/GRAPH_DOCS.md) |
| `coffy.nosql` | Document store with chainable queries | [NoSQL Docs](https://github.com/nsarathy/Coffy/blob/main/Documentation/NOSQL_DOCS.md) |
| `coffy.sql`   | Thin SQLite wrapper | [SQL Docs](https://github.com/nsarathy/Coffy/blob/main/Documentation/SQL_DOCS.md) |

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## What sets Coffy apart?
Only embedded Python graph DB with:

- ✅ Declarative traversal syntax (match_node_path(...))
- ✅ Label/type filtering, limit/offset, result projection
- ✅ Unified API for both nodes and relationships
- ✅ Robust CLI

Only pure-Python embedded document store with:

- ✅ Auto-indexing on all top-level fields
- ✅ Chainable logical queries (.where(...).eq(...).or_().in_())
- ✅ Merge/lookups across collections (like mini $lookup)
- ✅ JSON persistence or in-memory fallback

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## 🔗 Links

- [coffydb.org](https://coffydb.org/)
- PyPI: [coffy](https://pypi.org/project/coffy/)
- Source: [GitHub](https://github.com/nsarathy/Coffy)

---

## License

MIT License © 2025 [Neelesh Sarathy](https://github.com/nsarathy)

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Disclaimer: Number of downloads includes mirrors.
TkAccessory 0.0.1
GUI Tool kit
License: MIT

# TkAccessory

To download ,and use this package : `pip install TkAccessory`

Use TkAccessory tools to make your client interface more better

TkAccessory provides you the best modules to customize your gui

![Progress bars](https://github.com/SingleStar2023/TkAccessory/blob/progress-samples/TkToolsProgress.gif?raw=true)

![Loading styles](https://github.com/SingleStar2023/TkAccessory/blob/loading-samples/TkToolsLoading.gif?raw=true)

### Single Star
### Seyed Moied Seyedi
velopix 0.9.0
CERN VeloPix Detector Framework & Hyperparameter Optimiser
License: MIT
Requires Python: >=3.9

# velopix

**Velopix** is a high-performance track reconstruction framework designed for processing collision data from the LHCb detector at CERN. It reconstructs particle trajectories by analyzing hit patterns recorded across multiple detector modules.

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## Overview

The package provides a complete reconstruction pipeline along with multiple algorithms and tools for validation and analysis. It is intended for use in high-energy physics data workflows, particularly for experiments that involve tracking particles across layered detector systems.

---

## Features

- Track reconstruction from raw detector hit data
- Multiple algorithmic approaches:
  - Track-Following
  - Graph-based Depth-First Search (DFS)
  - Merged-Triplet Tree Search
- Efficient event parsing and data representation
- Built-in validation metrics:
  - Hit efficiency
  - Track purity
  - Clone and ghost detection
- Modular and extensible design for algorithm development and optimization

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## Use Cases

Velopix is designed for:

- Physicists analyzing detector data from the LHCb experiment
- Developers comparing or building custom reconstruction algorithms
- Research teams building end-to-end pipelines for particle tracking

---

## Documentation

Full documentation is available online:

- [Installation Guide](https://github.com/SvenHockers/velopix/blob/main/docs/installation.md)
- [System Overview](https://github.com/SvenHockers/velopix/blob/main/docs/installation.md)
- [API Reference](https://github.com/SvenHockers/velopix/blob/main/docs/api.md)

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## License

This project is licensed under the MIT License. See the [LICENSE](https://github.com/SvenHockers/velopix/blob/main/LICENSE) file for details.