semvec/pypi-packages huggingface dataset:
DictSQLite 1.8.8
You can handle basic SQLite operations in Python like Dict.
Requires Python: >=3.9
Keywords: sqlite, dict, database, dict_like, dict like, dictsqlite, dict like sqlite

# DictSQLite

## English Version  
(日本語のREADMEは下にあります)


You can handle basic SQLite operations in Python as if you were working with a dictionary.

## Installation

Install [DictSQLite](https://pypi.org/project/DictSQLite/) via pip:

```bash
pip install dictsqlite
```

## Documentation

* [Japanese Documentation](https://github.com/disnana/DictSQLite/blob/main/documents/japanese.md)

* [English Documentation](https://github.com/disnana/DictSQLite/blob/main/documents/english.md)

## Author

* [@harumaki4649](https://www.github.com/harumaki4649)

## Feedback

Please create an issue on [github\:disnana/DictSQLite](https://github.com/disnana/DictSQLite).

## Support

For support, email [support@disnana.com](mailto:support@disnana.com) or join the [Discord Server](https://discord.gg/KzeHDrgwAz).

## License

This project is licensed under a MIT License.
See the [LICENSE](https://github.com/disnana/DictSQLite/blob/main/LICENSE) file for details.

You are free to modify the code, but you must give appropriate credit to the original author and comply with the terms of this license.

# DictSQLite

## 日本語版
(English version is above)

PythonでSQLiteの基本的な操作をDictのように扱うことができます。

## インストール

[DictSQLite](https://pypi.org/project/DictSQLite/) を pip でインストールする。

```bash
pip install dictsqlite
```

## ドキュメント

- [日本語のドキュメント](https://github.com/disnana/DictSQLite/blob/main/documents/japanese.md)

- [英語ドキュメント](https://github.com/disnana/DictSQLite/blob/main/documents/english.md)

## 著者

- [@harumaki4649](https://www.github.com/harumaki4649)

## フィードバック

[github:disnana/DictSQLite](https://github.com/disnana/DictSQLite)にてIssueを作成してください。

## サポート

サポートは <support@disnana.com> にメールするか、[Discord Server](https://discord.gg/KzeHDrgwAz) に参加してください。

## ライセンス

このプロジェクトはMIT Licenseの下でライセンスされています。
詳細は[LICENSE](https://github.com/disnana/DictSQLite/blob/main/LICENSE)ファイルを参照してください。

コードを改変することは自由ですが、元の作成者に適切なクレジットを与え、このライセンスの条項に従う必要があることに注意してください。
libcomponent 0.0.5
Shared Component Library
Requires Python: >=3.9
Keywords: component, component-system, ecs, event-system, networking, networked-events, encryption

# LibComponent
Shared Component Library

<!-- BADGIE TIME -->

[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit)](https://github.com/pre-commit/pre-commit)

<!-- END BADGIE TIME -->

## Installation
Ensure Python 3 is installed, and use pip to install this project.

```bash
pip install libcomponent
```

Install latest beta version:

```bash
pip install git+https://github.com/CoolCat467/LibComponent.git
```


### Links
* Source Code - https://github.com/CoolCat467/LibComponent.git
* Issues      - https://github.com/CoolCat467/LibComponent/issues
* Pypi        - https://pypi.org/project/libcomponent

### License
-------
Code and documentation are available according to the GNU Lesser General Public License v3.0 (see [LICENSE](https://github.com/CoolCat467/idlemypyextension/blob/HEAD/LICENSE)).
insight-cli-sarang 0.2.5
Insight is a Python-based CLI tool that analyzes codebases and generates detailed reports.
Requires Python: >=3.7

# Insight

**Insight** is a Python-based CLI tool that analyzes codebases and generates detailed reports.
It provides both static analysis and AI-powered explanations (via Gemini API or local models).

## Features

* Analyze 30+ programming, web, and config file types.
* Generate a `report/` folder with:

  * One detailed `.md` file per source file.
  * A `summary.md` overview of the entire codebase.
* Collect static metrics:

  * Total lines
  * Functions, classes, imports
  * Number of comments
* AI-powered insights:

  * File explanations in plain language
  * Probability score (1–10) for AI/LLM-generated code

## Installation

Clone the repository:

```bash
git clone https://github.com/ExplainHub/Insight-Py.git
cd insight
```

Create a virtual environment and install dependencies:

```bash
python3 -m venv venv
source venv/bin/activate   # Mac/Linux
venv\Scripts\activate      # Windows

pip install -r requirements.txt
pip install -e .
```
## Setup

If using Gemini API, set your API key:

```bash
export GEMINI_API_KEY="your_api_key_here"   # Mac/Linux
setx GEMINI_API_KEY "your_api_key_here"     # Windows
```

## Usage

Analyze the current directory:

```bash
insight .
```

Limit the number of files analyzed (useful for testing):

```bash
insight . --limit 5
```

Change output directory:

```bash
insight . -o my_reports
```

Reports will be saved in the specified folder, one Markdown file per source file plus a `summary.md`.

## Supported File Types

* Programming: `.py`, `.js`, `.ts`, `.java`, `.cpp`, `.c`, `.cs`, `.go`, `.php`, `.rb`, `.rs`, `.swift`, `.kt`, `.scala`, `.dart`, `.m`, `.mm`, `.lua`, `.pl`, `.sh`, `.bat`
* Web: `.html`, `.htm`, `.css`, `.scss`, `.less`, `.ejs`, `.erb`, `.mustache`
* Config: `.json`, `.yaml`, `.yml`, `.toml`, `.ini`, `.cfg`, `.xml`
* Docs: `.md`, `.rst`
* Build/DevOps: `.gradle`, `.pom`, `.makefile`, `.cmake`, `.dockerfile`
* Database: `.sql`

## Roadmap

* Add `.insightignore` support to skip specific files/folders.
* Export reports in HTML and PDF formats.
* Support for local AI engines (Ollama, LM Studio).
* Interactive web dashboard for reports.

## Full Documentation

For detailed setup and usage instructions, please see the [INSTRUCTION.md](INSTRUCTION.md) file.

## License

This project is licensed under the MIT License.