| Name | UltraQuery JSON |
| Version |
0.1.0
JSON |
| download |
| home_page | None |
| Summary | A Blazing fast DataScience library for CSV,txt,SQL,Dictionary reading and CLI Plotting |
| upload_time | 2025-08-08 07:11:45 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.6 |
| license | None |
| keywords |
cli
csv
data
query
plot
visualization
ultraquery
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# UltraQuery
UltraQuery is a fast and lightweight Python module + CLI tool for:
- 📂 Reading `.csv`, `.txt`, and `.sqlite` files
- 👁️ Viewing data or building DataFrame-like structures
- 📈 Plotting directly from terminal using CLI flags
- ⚙️ Powered by a custom **C++ engine** for high performance
---
## 🔖 Version
- **v0.1.0**
- Released: **08-08-2025**
- Authors: Mayank Chaudhary, Krishna Agarwal, Abhedhya Faujdar
---
## 📦 Installation
```bash
pip install UltraQuery
```
- [GitHub Repository](https://github.com/krishna-agarwal44546/UltraQuery)
- [PyPI Page](https://pypi.org/project/UltraQuery/)
---
## 🐍 Python Usage
```python
from ultraquery import UltraQuery
uq = UltraQuery.UltraQuery()
data={
"name" : ["adam","james","sofia"],
"age" : [23,63,87]
}
uq.viewdata("cars.csv", "year")
uq.df("cars.csv", limit=100)
uq.plot("cars.csv", xcol="year", ycol="price", graph_type="line")
uq.read_dict(data)
```
---
## 💻 CLI Usage
```bash
ultraquery -f cars.csv -l 50 -df
ultraquery -f cars.csv -l 100 -plt -x year -y price -typ line
```
---
## 🚩 CLI Flags
| Flag | Description |
|---------------|-----------------------------------|
| `-f` | Path to CSV/SQL file |
| `-df` | Show data as a table |
| `-l` | Limit number of rows to load |
| `-plt` | Enable graph plotting |
| `-x` | Set X-axis column |
| `-y` | Set Y-axis column |
| `-typ` | Type of plot (`bar`, `pie`, etc.) |
| `-sql` | Enable SQLite mode |
| `table` | Specify SQLite table |
| `column_list` | View column list |
| `vc` | View raw column data |
| `dict` | Get Dataframe from Dictionary |
| `col` | Enter Column |
---
## 🧠 Available Functions
```python
viewcolumn(file) # List columns from a CSV
viewdata(file, col) # Display elements of column col
df(file, n) # Load data into custom frame
viewsql(file, table, n) # Load rows from SQLite
plot(file, x, y, typ) # Plot selected columns
read_dict(dictionary) # Give dataframe directly from a dictionary
```
### ✅ Supported Plot Types
- bar
- line
- scatter
- pie
- histogram
---
## 📊 Example
```bash
ultraquery -f sales.csv -l 100 -plt -x month -y revenue -typ bar
```
---
## 🚀 Features
- ⚡ Fast CSV reading via C++ engine
- 🧪 Native Python class interface
- 🧭 CLI for quick data exploration
- 🎨 Easy plotting with matplotlib
- 🗄️ SQLite table reading support
---
## 🔍 Engine Details
- Uses native shared library (`engine.dll` / `engine.so`)
- Loaded via `ctypes`
- Core C++ functions: `readcsv`, `columnsget`, `getdata`, `dataframe`,`read_dict`
---
## 👥 Contributors
- [Contributors.txt](https://github.com/krishna-agarwal44546/UltraQuery/blob/main/Contributors.txt)
## 📄 License
- [LICENSE.txt](https://github.com/krishna-agarwal44546/UltraQuery/blob/main/LICENSE.txt)
---
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"description": "# UltraQuery\r\n\r\nUltraQuery is a fast and lightweight Python module + CLI tool for:\r\n\r\n- \ud83d\udcc2 Reading `.csv`, `.txt`, and `.sqlite` files \r\n- \ud83d\udc41\ufe0f Viewing data or building DataFrame-like structures \r\n- \ud83d\udcc8 Plotting directly from terminal using CLI flags \r\n- \u2699\ufe0f Powered by a custom **C++ engine** for high performance \r\n\r\n---\r\n\r\n## \ud83d\udd16 Version\r\n\r\n- **v0.1.0**\r\n- Released: **08-08-2025**\r\n- Authors: Mayank Chaudhary, Krishna Agarwal, Abhedhya Faujdar\r\n\r\n---\r\n\r\n## \ud83d\udce6 Installation\r\n\r\n```bash\r\npip install UltraQuery\r\n```\r\n\r\n- [GitHub Repository](https://github.com/krishna-agarwal44546/UltraQuery) \r\n- [PyPI Page](https://pypi.org/project/UltraQuery/)\r\n\r\n---\r\n\r\n## \ud83d\udc0d Python Usage\r\n\r\n```python\r\nfrom ultraquery import UltraQuery \r\n\r\nuq = UltraQuery.UltraQuery() \r\n\r\ndata={\r\n \"name\" : [\"adam\",\"james\",\"sofia\"],\r\n \"age\" : [23,63,87]\r\n}\r\n\r\nuq.viewdata(\"cars.csv\", \"year\") \r\nuq.df(\"cars.csv\", limit=100) \r\nuq.plot(\"cars.csv\", xcol=\"year\", ycol=\"price\", graph_type=\"line\")\r\nuq.read_dict(data)\r\n```\r\n\r\n---\r\n\r\n## \ud83d\udcbb CLI Usage\r\n\r\n```bash\r\nultraquery -f cars.csv -l 50 -df\r\nultraquery -f cars.csv -l 100 -plt -x year -y price -typ line\r\n```\r\n\r\n---\r\n\r\n## \ud83d\udea9 CLI Flags\r\n\r\n| Flag | Description |\r\n|---------------|-----------------------------------|\r\n| `-f` | Path to CSV/SQL file |\r\n| `-df` | Show data as a table |\r\n| `-l` | Limit number of rows to load |\r\n| `-plt` | Enable graph plotting |\r\n| `-x` | Set X-axis column |\r\n| `-y` | Set Y-axis column |\r\n| `-typ` | Type of plot (`bar`, `pie`, etc.) |\r\n| `-sql` | Enable SQLite mode |\r\n| `table` | Specify SQLite table |\r\n| `column_list` | View column list |\r\n| `vc` | View raw column data |\r\n| `dict` | Get Dataframe from Dictionary |\r\n| `col` | Enter Column |\r\n\r\n---\r\n\r\n## \ud83e\udde0 Available Functions\r\n\r\n```python\r\nviewcolumn(file) # List columns from a CSV \r\nviewdata(file, col) # Display elements of column col \r\ndf(file, n) # Load data into custom frame \r\nviewsql(file, table, n) # Load rows from SQLite \r\nplot(file, x, y, typ) # Plot selected columns\r\nread_dict(dictionary) # Give dataframe directly from a dictionary\r\n```\r\n\r\n### \u2705 Supported Plot Types\r\n- bar\r\n- line\r\n- scatter\r\n- pie\r\n- histogram\r\n\r\n---\r\n\r\n## \ud83d\udcca Example\r\n\r\n```bash\r\nultraquery -f sales.csv -l 100 -plt -x month -y revenue -typ bar\r\n```\r\n\r\n---\r\n\r\n## \ud83d\ude80 Features\r\n\r\n- \u26a1 Fast CSV reading via C++ engine \r\n- \ud83e\uddea Native Python class interface \r\n- \ud83e\udded CLI for quick data exploration \r\n- \ud83c\udfa8 Easy plotting with matplotlib \r\n- \ud83d\uddc4\ufe0f SQLite table reading support \r\n\r\n---\r\n\r\n## \ud83d\udd0d Engine Details\r\n\r\n- Uses native shared library (`engine.dll` / `engine.so`) \r\n- Loaded via `ctypes` \r\n- Core C++ functions: `readcsv`, `columnsget`, `getdata`, `dataframe`,`read_dict`\r\n\r\n---\r\n\r\n## \ud83d\udc65 Contributors\r\n\r\n- [Contributors.txt](https://github.com/krishna-agarwal44546/UltraQuery/blob/main/Contributors.txt)\r\n\r\n## \ud83d\udcc4 License\r\n\r\n- [LICENSE.txt](https://github.com/krishna-agarwal44546/UltraQuery/blob/main/LICENSE.txt)\r\n\r\n---\r\n",
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