# 🚀 OrionAI Python - Your AI Coding Companion
[](https://pypi.org/project/orionai/)
[](https://www.python.org/downloads/)
[](https://opensource.org/licenses/MIT)
[](https://streamlit.io/)
OrionAI Python transforms the way you write code by letting you describe what you want in plain English. Whether you're analyzing data, building machine learning models, or creating visualizations, just tell OrionAI what you need and watch it generate and execute the code for you.
## What makes OrionAI special?
**🎯 Just describe what you want** - No need to remember complex syntax or library details. Want to "analyze sales data and create a dashboard"? Just say it.
**🧠 Multiple AI providers** - Choose from Google Gemini, OpenAI, or Anthropic models based on your preferences and needs.
**🎓 Learn while you code** - Our Python tutor explains every concept with practical examples, making it perfect for beginners and experts alike.
**🎨 Beautiful web interface** - Test features, experiment with code, and learn interactively through our Streamlit interface.
**🔧 Handles the boring stuff** - Automatically installs packages, manages dependencies, and organizes your outputs so you can focus on the fun parts.
## Quick Start
```python
from orionai.python import AIPython
# Initialize your AI assistant
ai = AIPython()
# Just tell it what you want to do
ai.ask("Load the sales.csv file and show me the top 10 customers by revenue")
# Create visualizations with natural language
ai.ask("Make a bar chart showing monthly sales trends")
# Get help with any Python concept
ai.ask("Explain how list comprehensions work with examples")
```
Want to try the interactive interface? Just run:
```python
from orionai.python import ui
ui() # Opens a web interface at http://localhost:8501
```
Or use the powerful CLI for terminal-based coding:
```bash
orionai # Launch interactive CLI with LLM chat and code execution
```
## Installation
```bash
# Install OrionAI
pip install orionai
# Or install with development dependencies
pip install orionai[dev]
```
Set up your API key:
```bash
# For Google Gemini (recommended - it's free!)
export GOOGLE_API_KEY="your-api-key-here"
# Or for OpenAI
export OPENAI_API_KEY="your-api-key-here"
# Or for Anthropic
export ANTHROPIC_API_KEY="your-api-key-here"
```
## What can OrionAI do?
### 📊 Data Analysis & Visualization
```python
ai.ask("Load my sales data and create a dashboard showing key metrics")
ai.ask("Find correlation between customer age and purchase amount")
ai.ask("Generate a heatmap of sales by region and month")
```
### 🤖 Machine Learning Made Simple
```python
ai.ask("Build a classifier to predict customer churn using my dataset")
ai.ask("Create a time series forecast for next quarter's sales")
ai.ask("Train a model to detect fraud in transactions")
```
### 🐍 Python Learning Assistant
```python
from orionai.python import SimplePythonChat
chat = SimplePythonChat()
chat.ask("How do I work with dates in Python?")
chat.explain_code("lambda x: x**2 if x > 0 else 0")
chat.get_examples("decorators")
```
### 💬 Interactive Programming
```python
from orionai.python import InteractiveCodeChat
code_chat = InteractiveCodeChat(session_name="my_project")
code_chat.chat("I need to analyze customer behavior patterns")
code_chat.chat_with_code("Load the dataset and show basic statistics")
```
## 🖥️ Command Line Interface (CLI)
OrionAI includes a powerful CLI for terminal-based development with LLM integration:
```bash
# Launch the interactive CLI
orionai
```
**CLI Features:**
- 🤖 **Multi-provider LLM chat** - Google Gemini, OpenAI, Anthropic
- 🔧 **Live code execution** - Run Python code with real-time output
- 📊 **Automatic plot saving** - Matplotlib/Seaborn plots saved to session folders
- 💾 **Session management** - Save and restore conversation history
- ⚡ **Instant startup** - Optimized lazy loading for fast performance
- 🛠️ **Error recovery** - LLM automatically fixes syntax errors
**CLI Workflow Example:**
```bash
$ orionai
🚀 OrionAI Interactive Chat
Select session or create new...
You: Generate random data and create a line plot
🤖 OrionAI: I'll create random data and visualize it for you.
💻 Generated Code:
import numpy as np
import matplotlib.pyplot as plt
# Generate random data
x = np.linspace(0, 10, 100)
y = np.random.randn(100).cumsum()
# Create plot
plt.figure(figsize=(10, 6))
plt.plot(x, y)
plt.title("Random Data Line Plot")
plt.show()
📊 Plot saved: ~/.orionai/sessions/abc123/images/plot_20250902_143022.png
⏱️ Execution time: 2.34s
You: Now add a trend line to that plot
🤖 OrionAI: I'll add a polynomial trend line to the existing data...
```
**CLI Configuration:**
```bash
# Configure LLM provider
orionai config
# View session statistics
orionai stats
# List all sessions
orionai sessions
```
## What can OrionAI do?
```
### 🌐 Web & API Operations
```python
ai.ask("Scrape product prices from this e-commerce site")
ai.ask("Call this REST API and analyze the response")
ai.ask("Download and process data from multiple URLs")
```
### 🔒 Security & Encryption
```python
ai.ask("Generate secure passwords and hash them")
ai.ask("Encrypt this sensitive data file")
ai.ask("Validate and sanitize user inputs")
```
## Features by Category
<details>
<summary><strong>📈 Data Science (15+ features)</strong></summary>
- Pandas operations and analysis
- Statistical computations with NumPy
- Data visualization with matplotlib/seaborn
- CSV/JSON data processing
- Missing data handling
- Feature engineering
- Data cleaning and transformation
</details>
<details>
<summary><strong>🤖 Machine Learning (10+ features)</strong></summary>
- Scikit-learn model building
- Model evaluation and metrics
- Feature selection and engineering
- Cross-validation and hyperparameter tuning
- Classification and regression
- Clustering analysis
- Performance visualization
</details>
<details>
<summary><strong>🌐 Web & Network (8+ features)</strong></summary>
- HTTP requests and API calls
- Web scraping and data extraction
- JSON/XML processing
- URL validation and parsing
- Rate limiting and retry logic
- Authentication handling
- Response processing
</details>
<details>
<summary><strong>💻 System & Performance (7+ features)</strong></summary>
- Memory usage monitoring
- Performance profiling
- Process management
- Environment variables
- File system operations
- Resource optimization
- Timing and benchmarking
</details>
<details>
<summary><strong>🔐 Security & Encryption (5+ features)</strong></summary>
- Password generation and validation
- Data encryption/decryption
- Input sanitization
- Secure file handling
- Authentication helpers
</details>
<details>
<summary><strong>📁 File Operations (5+ features)</strong></summary>
- File reading/writing
- Directory management
- Archive creation/extraction
- Format conversions
- Batch file processing
</details>
## Interactive Web Interface
Launch the Streamlit interface to explore all features:
```python
from orionai.python import ui
ui()
```
The web interface includes:
- **🔧 LLM Configuration** - Switch between providers and models
- **🤖 AI Assistant** - General Python tasks and code generation
- **🐍 Python Learning** - Interactive Python tutor
- **💬 Code Chat** - Conversational programming with memory
- **🧪 Feature Tests** - Try out specific capabilities
- **📚 Examples** - Ready-to-run code samples
- **📖 Documentation** - Built-in guides and API reference
## Configuration Options
```python
from orionai.python import AIPython
# Basic usage (uses Google Gemini by default)
ai = AIPython()
# Specify provider and model
ai = AIPython(
provider="openai",
model="gpt-4",
api_key="your-key",
verbose=True,
auto_install=True
)
# Advanced configuration
ai = AIPython(
provider="anthropic",
model="claude-3-sonnet-20240229",
max_retries=5,
workspace_dir="./my_outputs",
save_outputs=True,
ask_permission=False
)
```
## Examples & Use Cases
### Real-World Scenarios
**📊 Business Analytics**
```python
ai.ask("Analyze our Q3 sales data and identify trends, top products, and underperforming regions")
```
**🔍 Research & Analysis**
```python
ai.ask("Process this survey data, calculate significance tests, and create publication-ready charts")
```
**🚀 Rapid Prototyping**
```python
ai.ask("Build a simple web scraper for job postings and save results to a database")
```
**📚 Learning & Teaching**
```python
chat.ask("Show me different ways to handle errors in Python with real examples")
```
## Why Choose OrionAI?
✅ **Zero Learning Curve** - Start coding with natural language immediately
✅ **Production Ready** - Robust error handling and enterprise features
✅ **Educational** - Learn Python concepts while getting work done
✅ **Flexible** - Works with your existing code and workflows
✅ **Secure** - No code execution without your permission
✅ **Open Source** - Transparent, community-driven development
## Getting Help
- **📚 Documentation**: Check our [detailed guides](docs/) for comprehensive information
- **💡 Examples**: Browse [practical examples](examples/) for common use cases
- **🐛 Issues**: Report bugs or request features on [GitHub Issues](https://github.com/AIMLDev726/OrionAI/issues)
- **💬 Discussions**: Join conversations in [GitHub Discussions](https://github.com/AIMLDev726/OrionAI/discussions)
- **🤝 Contributing**: See our [Contributing Guide](CONTRIBUTING.md) to get involved
## License
OrionAI is released under the MIT License. See [LICENSE](LICENSE) for details.
## What's Next?
We're actively working on:
- 🚀 More LLM provider integrations
- 📱 Mobile-responsive UI improvements
- 🔌 Plugin system for custom extensions
- 🌍 Multi-language support
- ⚡ Performance optimizations
- 🧠 Advanced AI reasoning capabilities
---
**Ready to revolutionize your Python coding experience?** Install OrionAI today and start building with the power of AI!
```bash
pip install orionai
```
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"description": "# \ud83d\ude80 OrionAI Python - Your AI Coding Companion\r\n\r\n[](https://pypi.org/project/orionai/)\r\n[](https://www.python.org/downloads/)\r\n[](https://opensource.org/licenses/MIT)\r\n[](https://streamlit.io/)\r\n\r\nOrionAI Python transforms the way you write code by letting you describe what you want in plain English. Whether you're analyzing data, building machine learning models, or creating visualizations, just tell OrionAI what you need and watch it generate and execute the code for you.\r\n\r\n## What makes OrionAI special?\r\n\r\n**\ud83c\udfaf Just describe what you want** - No need to remember complex syntax or library details. Want to \"analyze sales data and create a dashboard\"? Just say it.\r\n\r\n**\ud83e\udde0 Multiple AI providers** - Choose from Google Gemini, OpenAI, or Anthropic models based on your preferences and needs.\r\n\r\n**\ud83c\udf93 Learn while you code** - Our Python tutor explains every concept with practical examples, making it perfect for beginners and experts alike.\r\n\r\n**\ud83c\udfa8 Beautiful web interface** - Test features, experiment with code, and learn interactively through our Streamlit interface.\r\n\r\n**\ud83d\udd27 Handles the boring stuff** - Automatically installs packages, manages dependencies, and organizes your outputs so you can focus on the fun parts.\r\n\r\n## Quick Start\r\n\r\n```python\r\nfrom orionai.python import AIPython\r\n\r\n# Initialize your AI assistant\r\nai = AIPython()\r\n\r\n# Just tell it what you want to do\r\nai.ask(\"Load the sales.csv file and show me the top 10 customers by revenue\")\r\n\r\n# Create visualizations with natural language\r\nai.ask(\"Make a bar chart showing monthly sales trends\")\r\n\r\n# Get help with any Python concept\r\nai.ask(\"Explain how list comprehensions work with examples\")\r\n```\r\n\r\nWant to try the interactive interface? Just run:\r\n```python\r\nfrom orionai.python import ui\r\nui() # Opens a web interface at http://localhost:8501\r\n```\r\n\r\nOr use the powerful CLI for terminal-based coding:\r\n```bash\r\norionai # Launch interactive CLI with LLM chat and code execution\r\n```\r\n\r\n## Installation\r\n\r\n```bash\r\n# Install OrionAI\r\npip install orionai\r\n\r\n# Or install with development dependencies\r\npip install orionai[dev]\r\n```\r\n\r\nSet up your API key:\r\n```bash\r\n# For Google Gemini (recommended - it's free!)\r\nexport GOOGLE_API_KEY=\"your-api-key-here\"\r\n\r\n# Or for OpenAI\r\nexport OPENAI_API_KEY=\"your-api-key-here\"\r\n\r\n# Or for Anthropic\r\nexport ANTHROPIC_API_KEY=\"your-api-key-here\"\r\n```\r\n\r\n## What can OrionAI do?\r\n\r\n### \ud83d\udcca Data Analysis & Visualization\r\n```python\r\nai.ask(\"Load my sales data and create a dashboard showing key metrics\")\r\nai.ask(\"Find correlation between customer age and purchase amount\")\r\nai.ask(\"Generate a heatmap of sales by region and month\")\r\n```\r\n\r\n### \ud83e\udd16 Machine Learning Made Simple\r\n```python\r\nai.ask(\"Build a classifier to predict customer churn using my dataset\")\r\nai.ask(\"Create a time series forecast for next quarter's sales\")\r\nai.ask(\"Train a model to detect fraud in transactions\")\r\n```\r\n\r\n### \ud83d\udc0d Python Learning Assistant\r\n```python\r\nfrom orionai.python import SimplePythonChat\r\n\r\nchat = SimplePythonChat()\r\nchat.ask(\"How do I work with dates in Python?\")\r\nchat.explain_code(\"lambda x: x**2 if x > 0 else 0\")\r\nchat.get_examples(\"decorators\")\r\n```\r\n\r\n### \ud83d\udcac Interactive Programming\r\n```python\r\nfrom orionai.python import InteractiveCodeChat\r\n\r\ncode_chat = InteractiveCodeChat(session_name=\"my_project\")\r\ncode_chat.chat(\"I need to analyze customer behavior patterns\")\r\ncode_chat.chat_with_code(\"Load the dataset and show basic statistics\")\r\n```\r\n\r\n## \ud83d\udda5\ufe0f Command Line Interface (CLI)\r\n\r\nOrionAI includes a powerful CLI for terminal-based development with LLM integration:\r\n\r\n```bash\r\n# Launch the interactive CLI\r\norionai\r\n```\r\n\r\n**CLI Features:**\r\n- \ud83e\udd16 **Multi-provider LLM chat** - Google Gemini, OpenAI, Anthropic\r\n- \ud83d\udd27 **Live code execution** - Run Python code with real-time output\r\n- \ud83d\udcca **Automatic plot saving** - Matplotlib/Seaborn plots saved to session folders\r\n- \ud83d\udcbe **Session management** - Save and restore conversation history\r\n- \u26a1 **Instant startup** - Optimized lazy loading for fast performance\r\n- \ud83d\udee0\ufe0f **Error recovery** - LLM automatically fixes syntax errors\r\n\r\n**CLI Workflow Example:**\r\n```bash\r\n$ orionai\r\n\ud83d\ude80 OrionAI Interactive Chat\r\nSelect session or create new...\r\n\r\nYou: Generate random data and create a line plot\r\n\ud83e\udd16 OrionAI: I'll create random data and visualize it for you.\r\n\r\n\ud83d\udcbb Generated Code:\r\nimport numpy as np\r\nimport matplotlib.pyplot as plt\r\n\r\n# Generate random data\r\nx = np.linspace(0, 10, 100)\r\ny = np.random.randn(100).cumsum()\r\n\r\n# Create plot\r\nplt.figure(figsize=(10, 6))\r\nplt.plot(x, y)\r\nplt.title(\"Random Data Line Plot\")\r\nplt.show()\r\n\r\n\ud83d\udcca Plot saved: ~/.orionai/sessions/abc123/images/plot_20250902_143022.png\r\n\u23f1\ufe0f Execution time: 2.34s\r\n\r\nYou: Now add a trend line to that plot\r\n\ud83e\udd16 OrionAI: I'll add a polynomial trend line to the existing data...\r\n```\r\n\r\n**CLI Configuration:**\r\n```bash\r\n# Configure LLM provider\r\norionai config\r\n\r\n# View session statistics \r\norionai stats\r\n\r\n# List all sessions\r\norionai sessions\r\n```\r\n\r\n## What can OrionAI do?\r\n```\r\n\r\n### \ud83c\udf10 Web & API Operations\r\n```python\r\nai.ask(\"Scrape product prices from this e-commerce site\")\r\nai.ask(\"Call this REST API and analyze the response\")\r\nai.ask(\"Download and process data from multiple URLs\")\r\n```\r\n\r\n### \ud83d\udd12 Security & Encryption\r\n```python\r\nai.ask(\"Generate secure passwords and hash them\")\r\nai.ask(\"Encrypt this sensitive data file\")\r\nai.ask(\"Validate and sanitize user inputs\")\r\n```\r\n\r\n## Features by Category\r\n\r\n<details>\r\n<summary><strong>\ud83d\udcc8 Data Science (15+ features)</strong></summary>\r\n\r\n- Pandas operations and analysis\r\n- Statistical computations with NumPy \r\n- Data visualization with matplotlib/seaborn\r\n- CSV/JSON data processing\r\n- Missing data handling\r\n- Feature engineering\r\n- Data cleaning and transformation\r\n\r\n</details>\r\n\r\n<details>\r\n<summary><strong>\ud83e\udd16 Machine Learning (10+ features)</strong></summary>\r\n\r\n- Scikit-learn model building\r\n- Model evaluation and metrics\r\n- Feature selection and engineering\r\n- Cross-validation and hyperparameter tuning\r\n- Classification and regression\r\n- Clustering analysis\r\n- Performance visualization\r\n\r\n</details>\r\n\r\n<details>\r\n<summary><strong>\ud83c\udf10 Web & Network (8+ features)</strong></summary>\r\n\r\n- HTTP requests and API calls\r\n- Web scraping and data extraction\r\n- JSON/XML processing\r\n- URL validation and parsing\r\n- Rate limiting and retry logic\r\n- Authentication handling\r\n- Response processing\r\n\r\n</details>\r\n\r\n<details>\r\n<summary><strong>\ud83d\udcbb System & Performance (7+ features)</strong></summary>\r\n\r\n- Memory usage monitoring\r\n- Performance profiling\r\n- Process management\r\n- Environment variables\r\n- File system operations\r\n- Resource optimization\r\n- Timing and benchmarking\r\n\r\n</details>\r\n\r\n<details>\r\n<summary><strong>\ud83d\udd10 Security & Encryption (5+ features)</strong></summary>\r\n\r\n- Password generation and validation\r\n- Data encryption/decryption\r\n- Input sanitization\r\n- Secure file handling\r\n- Authentication helpers\r\n\r\n</details>\r\n\r\n<details>\r\n<summary><strong>\ud83d\udcc1 File Operations (5+ features)</strong></summary>\r\n\r\n- File reading/writing\r\n- Directory management \r\n- Archive creation/extraction\r\n- Format conversions\r\n- Batch file processing\r\n\r\n</details>\r\n\r\n## Interactive Web Interface\r\n\r\nLaunch the Streamlit interface to explore all features:\r\n\r\n```python\r\nfrom orionai.python import ui\r\nui()\r\n```\r\n\r\nThe web interface includes:\r\n- **\ud83d\udd27 LLM Configuration** - Switch between providers and models\r\n- **\ud83e\udd16 AI Assistant** - General Python tasks and code generation \r\n- **\ud83d\udc0d Python Learning** - Interactive Python tutor\r\n- **\ud83d\udcac Code Chat** - Conversational programming with memory\r\n- **\ud83e\uddea Feature Tests** - Try out specific capabilities\r\n- **\ud83d\udcda Examples** - Ready-to-run code samples\r\n- **\ud83d\udcd6 Documentation** - Built-in guides and API reference\r\n\r\n## Configuration Options\r\n\r\n```python\r\nfrom orionai.python import AIPython\r\n\r\n# Basic usage (uses Google Gemini by default)\r\nai = AIPython()\r\n\r\n# Specify provider and model\r\nai = AIPython(\r\n provider=\"openai\",\r\n model=\"gpt-4\",\r\n api_key=\"your-key\",\r\n verbose=True,\r\n auto_install=True\r\n)\r\n\r\n# Advanced configuration\r\nai = AIPython(\r\n provider=\"anthropic\",\r\n model=\"claude-3-sonnet-20240229\",\r\n max_retries=5,\r\n workspace_dir=\"./my_outputs\",\r\n save_outputs=True,\r\n ask_permission=False\r\n)\r\n```\r\n\r\n## Examples & Use Cases\r\n\r\n### Real-World Scenarios\r\n\r\n**\ud83d\udcca Business Analytics**\r\n```python\r\nai.ask(\"Analyze our Q3 sales data and identify trends, top products, and underperforming regions\")\r\n```\r\n\r\n**\ud83d\udd0d Research & Analysis** \r\n```python\r\nai.ask(\"Process this survey data, calculate significance tests, and create publication-ready charts\")\r\n```\r\n\r\n**\ud83d\ude80 Rapid Prototyping**\r\n```python\r\nai.ask(\"Build a simple web scraper for job postings and save results to a database\")\r\n```\r\n\r\n**\ud83d\udcda Learning & Teaching**\r\n```python\r\nchat.ask(\"Show me different ways to handle errors in Python with real examples\")\r\n```\r\n\r\n## Why Choose OrionAI?\r\n\r\n\u2705 **Zero Learning Curve** - Start coding with natural language immediately \r\n\u2705 **Production Ready** - Robust error handling and enterprise features \r\n\u2705 **Educational** - Learn Python concepts while getting work done \r\n\u2705 **Flexible** - Works with your existing code and workflows \r\n\u2705 **Secure** - No code execution without your permission \r\n\u2705 **Open Source** - Transparent, community-driven development \r\n\r\n## Getting Help\r\n\r\n- **\ud83d\udcda Documentation**: Check our [detailed guides](docs/) for comprehensive information\r\n- **\ud83d\udca1 Examples**: Browse [practical examples](examples/) for common use cases \r\n- **\ud83d\udc1b Issues**: Report bugs or request features on [GitHub Issues](https://github.com/AIMLDev726/OrionAI/issues)\r\n- **\ud83d\udcac Discussions**: Join conversations in [GitHub Discussions](https://github.com/AIMLDev726/OrionAI/discussions)\r\n- **\ud83e\udd1d Contributing**: See our [Contributing Guide](CONTRIBUTING.md) to get involved\r\n\r\n## License\r\n\r\nOrionAI is released under the MIT License. See [LICENSE](LICENSE) for details.\r\n\r\n## What's Next?\r\n\r\nWe're actively working on:\r\n- \ud83d\ude80 More LLM provider integrations\r\n- \ud83d\udcf1 Mobile-responsive UI improvements \r\n- \ud83d\udd0c Plugin system for custom extensions\r\n- \ud83c\udf0d Multi-language support\r\n- \u26a1 Performance optimizations\r\n- \ud83e\udde0 Advanced AI reasoning capabilities\r\n\r\n---\r\n\r\n**Ready to revolutionize your Python coding experience?** Install OrionAI today and start building with the power of AI!\r\n\r\n```bash\r\npip install orionai\r\n```\r\n",
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