# Mindzie API Python Client
[](https://badge.fury.io/py/mindzie-api)
[](https://pypi.org/project/mindzie-api/)
[](https://docs.mindzie.com/api/python)
[](https://opensource.org/licenses/MIT)
Official Python client library for the Mindzie Studio API. This library provides comprehensive access to all Mindzie Studio API endpoints with a clean, Pythonic interface.
## Features
- 🚀 **Complete API Coverage** - Access to all Mindzie Studio API endpoints
- 🔐 **Multiple Authentication Methods** - API Key, Bearer Token, and Azure AD support
- 🔄 **Automatic Retries** - Built-in retry logic with exponential backoff
- 📦 **Type-Safe** - Full type hints and Pydantic models for all responses
- 📁 **File Upload Support** - Easy dataset creation from CSV, package, and binary files
- 📄 **Pagination Handling** - Automatic pagination for large result sets
- 🚦 **Rate Limiting** - Respects API rate limits with automatic throttling
- ⚡ **Async Support** - Optional async/await support for high-performance applications
- 🧪 **Well-Tested** - Comprehensive test suite with >90% code coverage
## Installation
### Basic Installation
```bash
pip install mindzie-api
```
### With Async Support
```bash
pip install mindzie-api[async]
```
### With Azure AD Authentication
```bash
pip install mindzie-api[azure]
```
### Development Installation
```bash
pip install mindzie-api[dev]
```
## Quick Start
```python
from mindzie_api import MindzieAPIClient
# Initialize the client
client = MindzieAPIClient(
base_url="https://dev.mindziestudio.com",
tenant_id="your-tenant-id",
api_key="your-api-key"
)
# Get all projects
projects = client.projects.get_all()
for project in projects.projects:
print(f"Project: {project.project_name} (ID: {project.project_id})")
# Get datasets for a project
datasets = client.datasets.get_all(project_id="your-project-id")
print(f"Found {datasets['TotalCount']} datasets")
# Create a dataset from CSV
dataset = client.datasets.create_from_csv(
project_id="your-project-id",
dataset_name="Sales Data 2024",
case_id_column="order_id",
activity_name_column="activity",
activity_time_column="timestamp",
csv_file="path/to/your/data.csv"
)
```
## Configuration
### Environment Variables
The client can be configured using environment variables:
```bash
export MINDZIE_API_URL="https://dev.mindziestudio.com"
export MINDZIE_TENANT_ID="your-tenant-id"
export MINDZIE_API_KEY="your-api-key"
```
Then initialize without parameters:
```python
client = MindzieAPIClient()
```
### Configuration File
Create a `.env` file in your project:
```env
MINDZIE_API_URL=https://dev.mindziestudio.com
MINDZIE_TENANT_ID=your-tenant-id
MINDZIE_API_KEY=your-api-key
```
## Authentication
### API Key Authentication (Default)
```python
client = MindzieAPIClient(
base_url="https://dev.mindziestudio.com",
tenant_id="your-tenant-id",
api_key="your-api-key"
)
```
### Bearer Token Authentication
```python
from mindzie_api import MindzieAPIClient
from mindzie_api.constants import AuthType
client = MindzieAPIClient(
base_url="https://dev.mindziestudio.com",
tenant_id="your-tenant-id",
auth_type=AuthType.BEARER,
token="your-bearer-token"
)
```
### Azure AD Authentication
```python
from mindzie_api import MindzieAPIClient
from mindzie_api.constants import AuthType
client = MindzieAPIClient(
base_url="https://dev.mindziestudio.com",
tenant_id="your-tenant-id",
auth_type=AuthType.AZURE_AD,
azure_tenant_id="azure-tenant-id",
azure_client_id="azure-client-id",
azure_client_secret="azure-client-secret"
)
```
## API Examples
### Projects
```python
# List all projects
projects = client.projects.get_all(page=1, page_size=50)
# Get project by ID
project = client.projects.get_by_id("project-id")
# Get project summary
summary = client.projects.get_summary("project-id")
# Search projects
results = client.projects.search(
name_contains="Sales",
is_active=True,
min_datasets=5
)
```
### Datasets
```python
# Get all datasets
datasets = client.datasets.get_all("project-id")
# Create dataset from CSV
dataset = client.datasets.create_from_csv(
project_id="project-id",
dataset_name="Customer Journey",
case_id_column="customer_id",
activity_name_column="action",
activity_time_column="timestamp",
csv_file="data.csv",
resource_column="department", # Optional
culture_info="en-US"
)
# Update dataset
updated = client.datasets.update_from_csv(
project_id="project-id",
dataset_id="dataset-id",
case_id_column="customer_id",
activity_name_column="action",
activity_time_column="timestamp",
csv_file="updated_data.csv"
)
```
### Investigations
```python
# Get all investigations
investigations = client.investigations.get_all("project-id")
# Create investigation
investigation = client.investigations.create(
project_id="project-id",
name="Q4 Analysis",
description="Quarterly performance review",
dataset_id="dataset-id"
)
# Get investigation notebooks
notebooks = client.investigations.get_notebooks(
project_id="project-id",
investigation_id="investigation-id"
)
```
### Notebooks
```python
# Get notebook
notebook = client.notebooks.get(
project_id="project-id",
notebook_id="notebook-id"
)
# Execute notebook
execution = client.notebooks.execute(
project_id="project-id",
notebook_id="notebook-id"
)
# Check execution status
status = client.notebooks.get_execution_status(
project_id="project-id",
notebook_id="notebook-id"
)
# Get notebook blocks
blocks = client.notebooks.get_blocks(
project_id="project-id",
notebook_id="notebook-id"
)
```
### Blocks
```python
# Get block
block = client.blocks.get(
project_id="project-id",
block_id="block-id"
)
# Execute block
result = client.blocks.execute(
project_id="project-id",
block_id="block-id"
)
# Create filter block
filter_block = client.blocks.create_filter(
project_id="project-id",
name="High Value Orders",
filter_expression="amount > 1000"
)
# Get block output data
output = client.blocks.get_output_data(
project_id="project-id",
block_id="block-id"
)
```
### Dashboards
```python
# Get all dashboards
dashboards = client.dashboards.get_all("project-id")
# Get dashboard panels
panels = client.dashboards.get_panels(
project_id="project-id",
dashboard_id="dashboard-id"
)
# Get dashboard URL
url_info = client.dashboards.get_url(
project_id="project-id",
dashboard_id="dashboard-id"
)
```
### Execution Queue
```python
# Get execution queue
queue = client.execution.get_queue("project-id")
# Queue notebook execution
execution = client.execution.queue_notebook(
project_id="project-id",
notebook_id="notebook-id"
)
# Get execution history
history = client.execution.get_history(
project_id="project-id",
page=1,
page_size=50
)
# Check execution status
status = client.execution.get_status(
project_id="project-id",
execution_id="execution-id"
)
```
## Error Handling
```python
from mindzie_api.exceptions import (
MindzieAPIException,
AuthenticationError,
NotFoundError,
ValidationError,
RateLimitError,
ServerError
)
try:
project = client.projects.get_by_id("invalid-id")
except NotFoundError as e:
print(f"Project not found: {e.message}")
except AuthenticationError as e:
print(f"Authentication failed: {e.message}")
except ValidationError as e:
print(f"Invalid request: {e.message}")
except RateLimitError as e:
print(f"Rate limit exceeded. Retry after {e.retry_after} seconds")
except ServerError as e:
print(f"Server error: {e.message}")
except MindzieAPIException as e:
print(f"API error: {e.message}")
```
## Pagination
```python
# Manual pagination
page = 1
while True:
response = client.projects.get_all(page=page, page_size=100)
for project in response.projects:
process_project(project)
if not response.has_next:
break
page = response.next_page
# Automatic pagination (fetches all items)
all_projects = client.projects.list_projects() # Handles pagination internally
```
## File Uploads
```python
# Upload from file path
dataset = client.datasets.create_from_csv(
project_id="project-id",
dataset_name="Sales Data",
case_id_column="order_id",
activity_name_column="status",
activity_time_column="timestamp",
csv_file="/path/to/data.csv"
)
# Upload from file object
with open("data.csv", "rb") as f:
dataset = client.datasets.create_from_csv(
project_id="project-id",
dataset_name="Sales Data",
case_id_column="order_id",
activity_name_column="status",
activity_time_column="timestamp",
csv_file=f
)
# Upload binary data
dataset = client.datasets.create_from_binary(
project_id="project-id",
dataset_name="Processed Data",
binary_file="data.bin"
)
```
## Advanced Configuration
```python
client = MindzieAPIClient(
base_url="https://dev.mindziestudio.com",
tenant_id="your-tenant-id",
api_key="your-api-key",
timeout=60, # Request timeout in seconds
max_retries=5, # Maximum retry attempts
verify_ssl=True, # SSL certificate verification
proxies={ # Proxy configuration
"http": "http://proxy.company.com:8080",
"https": "https://proxy.company.com:8080"
}
)
```
## Testing
Run the test suite:
```bash
# Install development dependencies
pip install -e ".[dev]"
# Run all tests
pytest
# Run with coverage
pytest --cov=mindzie_api
# Run specific test categories
pytest -m unit
pytest -m integration
# Run tests for specific module
pytest tests/unit/test_project.py
```
## Contributing
We welcome contributions! Please see our [Contributing Guide](CONTRIBUTING.md) for details.
1. Fork the repository
2. Create a feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request
## Support
- 📧 Email: support@mindzie.com
- 📖 Documentation: [https://docs.mindzie.com/api/python](https://docs.mindzie.com/api/python)
- 🐛 Issues: [GitHub Issues](https://github.com/mindzie/mindzie-api-python/issues)
- 💬 Discussions: [GitHub Discussions](https://github.com/mindzie/mindzie-api-python/discussions)
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Changelog
See [CHANGELOG.md](CHANGELOG.md) for a list of changes in each version.
## Authors
- **Mindzie Development Team** - *Initial work* - [Mindzie](https://github.com/mindzie)
## Acknowledgments
- Thanks to all contributors who have helped improve this library
- Built with love using Python, Pydantic, and Requests
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"description": "# Mindzie API Python Client\r\n\r\n[](https://badge.fury.io/py/mindzie-api)\r\n[](https://pypi.org/project/mindzie-api/)\r\n[](https://docs.mindzie.com/api/python)\r\n[](https://opensource.org/licenses/MIT)\r\n\r\nOfficial Python client library for the Mindzie Studio API. This library provides comprehensive access to all Mindzie Studio API endpoints with a clean, Pythonic interface.\r\n\r\n## Features\r\n\r\n- \ud83d\ude80 **Complete API Coverage** - Access to all Mindzie Studio API endpoints\r\n- \ud83d\udd10 **Multiple Authentication Methods** - API Key, Bearer Token, and Azure AD support\r\n- \ud83d\udd04 **Automatic Retries** - Built-in retry logic with exponential backoff\r\n- \ud83d\udce6 **Type-Safe** - Full type hints and Pydantic models for all responses\r\n- \ud83d\udcc1 **File Upload Support** - Easy dataset creation from CSV, package, and binary files\r\n- \ud83d\udcc4 **Pagination Handling** - Automatic pagination for large result sets\r\n- \ud83d\udea6 **Rate Limiting** - Respects API rate limits with automatic throttling\r\n- \u26a1 **Async Support** - Optional async/await support for high-performance applications\r\n- \ud83e\uddea **Well-Tested** - Comprehensive test suite with >90% code coverage\r\n\r\n## Installation\r\n\r\n### Basic Installation\r\n\r\n```bash\r\npip install mindzie-api\r\n```\r\n\r\n### With Async Support\r\n\r\n```bash\r\npip install mindzie-api[async]\r\n```\r\n\r\n### With Azure AD Authentication\r\n\r\n```bash\r\npip install mindzie-api[azure]\r\n```\r\n\r\n### Development Installation\r\n\r\n```bash\r\npip install mindzie-api[dev]\r\n```\r\n\r\n## Quick Start\r\n\r\n```python\r\nfrom mindzie_api import MindzieAPIClient\r\n\r\n# Initialize the client\r\nclient = MindzieAPIClient(\r\n base_url=\"https://dev.mindziestudio.com\",\r\n tenant_id=\"your-tenant-id\",\r\n api_key=\"your-api-key\"\r\n)\r\n\r\n# Get all projects\r\nprojects = client.projects.get_all()\r\nfor project in projects.projects:\r\n print(f\"Project: {project.project_name} (ID: {project.project_id})\")\r\n\r\n# Get datasets for a project\r\ndatasets = client.datasets.get_all(project_id=\"your-project-id\")\r\nprint(f\"Found {datasets['TotalCount']} datasets\")\r\n\r\n# Create a dataset from CSV\r\ndataset = client.datasets.create_from_csv(\r\n project_id=\"your-project-id\",\r\n dataset_name=\"Sales Data 2024\",\r\n case_id_column=\"order_id\",\r\n activity_name_column=\"activity\",\r\n activity_time_column=\"timestamp\",\r\n csv_file=\"path/to/your/data.csv\"\r\n)\r\n```\r\n\r\n## Configuration\r\n\r\n### Environment Variables\r\n\r\nThe client can be configured using environment variables:\r\n\r\n```bash\r\nexport MINDZIE_API_URL=\"https://dev.mindziestudio.com\"\r\nexport MINDZIE_TENANT_ID=\"your-tenant-id\"\r\nexport MINDZIE_API_KEY=\"your-api-key\"\r\n```\r\n\r\nThen initialize without parameters:\r\n\r\n```python\r\nclient = MindzieAPIClient()\r\n```\r\n\r\n### Configuration File\r\n\r\nCreate a `.env` file in your project:\r\n\r\n```env\r\nMINDZIE_API_URL=https://dev.mindziestudio.com\r\nMINDZIE_TENANT_ID=your-tenant-id\r\nMINDZIE_API_KEY=your-api-key\r\n```\r\n\r\n## Authentication\r\n\r\n### API Key Authentication (Default)\r\n\r\n```python\r\nclient = MindzieAPIClient(\r\n base_url=\"https://dev.mindziestudio.com\",\r\n tenant_id=\"your-tenant-id\",\r\n api_key=\"your-api-key\"\r\n)\r\n```\r\n\r\n### Bearer Token Authentication\r\n\r\n```python\r\nfrom mindzie_api import MindzieAPIClient\r\nfrom mindzie_api.constants import AuthType\r\n\r\nclient = MindzieAPIClient(\r\n base_url=\"https://dev.mindziestudio.com\",\r\n tenant_id=\"your-tenant-id\",\r\n auth_type=AuthType.BEARER,\r\n token=\"your-bearer-token\"\r\n)\r\n```\r\n\r\n### Azure AD Authentication\r\n\r\n```python\r\nfrom mindzie_api import MindzieAPIClient\r\nfrom mindzie_api.constants import AuthType\r\n\r\nclient = MindzieAPIClient(\r\n base_url=\"https://dev.mindziestudio.com\",\r\n tenant_id=\"your-tenant-id\",\r\n auth_type=AuthType.AZURE_AD,\r\n azure_tenant_id=\"azure-tenant-id\",\r\n azure_client_id=\"azure-client-id\",\r\n azure_client_secret=\"azure-client-secret\"\r\n)\r\n```\r\n\r\n## API Examples\r\n\r\n### Projects\r\n\r\n```python\r\n# List all projects\r\nprojects = client.projects.get_all(page=1, page_size=50)\r\n\r\n# Get project by ID\r\nproject = client.projects.get_by_id(\"project-id\")\r\n\r\n# Get project summary\r\nsummary = client.projects.get_summary(\"project-id\")\r\n\r\n# Search projects\r\nresults = client.projects.search(\r\n name_contains=\"Sales\",\r\n is_active=True,\r\n min_datasets=5\r\n)\r\n```\r\n\r\n### Datasets\r\n\r\n```python\r\n# Get all datasets\r\ndatasets = client.datasets.get_all(\"project-id\")\r\n\r\n# Create dataset from CSV\r\ndataset = client.datasets.create_from_csv(\r\n project_id=\"project-id\",\r\n dataset_name=\"Customer Journey\",\r\n case_id_column=\"customer_id\",\r\n activity_name_column=\"action\",\r\n activity_time_column=\"timestamp\",\r\n csv_file=\"data.csv\",\r\n resource_column=\"department\", # Optional\r\n culture_info=\"en-US\"\r\n)\r\n\r\n# Update dataset\r\nupdated = client.datasets.update_from_csv(\r\n project_id=\"project-id\",\r\n dataset_id=\"dataset-id\",\r\n case_id_column=\"customer_id\",\r\n activity_name_column=\"action\",\r\n activity_time_column=\"timestamp\",\r\n csv_file=\"updated_data.csv\"\r\n)\r\n```\r\n\r\n### Investigations\r\n\r\n```python\r\n# Get all investigations\r\ninvestigations = client.investigations.get_all(\"project-id\")\r\n\r\n# Create investigation\r\ninvestigation = client.investigations.create(\r\n project_id=\"project-id\",\r\n name=\"Q4 Analysis\",\r\n description=\"Quarterly performance review\",\r\n dataset_id=\"dataset-id\"\r\n)\r\n\r\n# Get investigation notebooks\r\nnotebooks = client.investigations.get_notebooks(\r\n project_id=\"project-id\",\r\n investigation_id=\"investigation-id\"\r\n)\r\n```\r\n\r\n### Notebooks\r\n\r\n```python\r\n# Get notebook\r\nnotebook = client.notebooks.get(\r\n project_id=\"project-id\",\r\n notebook_id=\"notebook-id\"\r\n)\r\n\r\n# Execute notebook\r\nexecution = client.notebooks.execute(\r\n project_id=\"project-id\",\r\n notebook_id=\"notebook-id\"\r\n)\r\n\r\n# Check execution status\r\nstatus = client.notebooks.get_execution_status(\r\n project_id=\"project-id\",\r\n notebook_id=\"notebook-id\"\r\n)\r\n\r\n# Get notebook blocks\r\nblocks = client.notebooks.get_blocks(\r\n project_id=\"project-id\",\r\n notebook_id=\"notebook-id\"\r\n)\r\n```\r\n\r\n### Blocks\r\n\r\n```python\r\n# Get block\r\nblock = client.blocks.get(\r\n project_id=\"project-id\",\r\n block_id=\"block-id\"\r\n)\r\n\r\n# Execute block\r\nresult = client.blocks.execute(\r\n project_id=\"project-id\",\r\n block_id=\"block-id\"\r\n)\r\n\r\n# Create filter block\r\nfilter_block = client.blocks.create_filter(\r\n project_id=\"project-id\",\r\n name=\"High Value Orders\",\r\n filter_expression=\"amount > 1000\"\r\n)\r\n\r\n# Get block output data\r\noutput = client.blocks.get_output_data(\r\n project_id=\"project-id\",\r\n block_id=\"block-id\"\r\n)\r\n```\r\n\r\n### Dashboards\r\n\r\n```python\r\n# Get all dashboards\r\ndashboards = client.dashboards.get_all(\"project-id\")\r\n\r\n# Get dashboard panels\r\npanels = client.dashboards.get_panels(\r\n project_id=\"project-id\",\r\n dashboard_id=\"dashboard-id\"\r\n)\r\n\r\n# Get dashboard URL\r\nurl_info = client.dashboards.get_url(\r\n project_id=\"project-id\",\r\n dashboard_id=\"dashboard-id\"\r\n)\r\n```\r\n\r\n### Execution Queue\r\n\r\n```python\r\n# Get execution queue\r\nqueue = client.execution.get_queue(\"project-id\")\r\n\r\n# Queue notebook execution\r\nexecution = client.execution.queue_notebook(\r\n project_id=\"project-id\",\r\n notebook_id=\"notebook-id\"\r\n)\r\n\r\n# Get execution history\r\nhistory = client.execution.get_history(\r\n project_id=\"project-id\",\r\n page=1,\r\n page_size=50\r\n)\r\n\r\n# Check execution status\r\nstatus = client.execution.get_status(\r\n project_id=\"project-id\",\r\n execution_id=\"execution-id\"\r\n)\r\n```\r\n\r\n## Error Handling\r\n\r\n```python\r\nfrom mindzie_api.exceptions import (\r\n MindzieAPIException,\r\n AuthenticationError,\r\n NotFoundError,\r\n ValidationError,\r\n RateLimitError,\r\n ServerError\r\n)\r\n\r\ntry:\r\n project = client.projects.get_by_id(\"invalid-id\")\r\nexcept NotFoundError as e:\r\n print(f\"Project not found: {e.message}\")\r\nexcept AuthenticationError as e:\r\n print(f\"Authentication failed: {e.message}\")\r\nexcept ValidationError as e:\r\n print(f\"Invalid request: {e.message}\")\r\nexcept RateLimitError as e:\r\n print(f\"Rate limit exceeded. Retry after {e.retry_after} seconds\")\r\nexcept ServerError as e:\r\n print(f\"Server error: {e.message}\")\r\nexcept MindzieAPIException as e:\r\n print(f\"API error: {e.message}\")\r\n```\r\n\r\n## Pagination\r\n\r\n```python\r\n# Manual pagination\r\npage = 1\r\nwhile True:\r\n response = client.projects.get_all(page=page, page_size=100)\r\n \r\n for project in response.projects:\r\n process_project(project)\r\n \r\n if not response.has_next:\r\n break\r\n \r\n page = response.next_page\r\n\r\n# Automatic pagination (fetches all items)\r\nall_projects = client.projects.list_projects() # Handles pagination internally\r\n```\r\n\r\n## File Uploads\r\n\r\n```python\r\n# Upload from file path\r\ndataset = client.datasets.create_from_csv(\r\n project_id=\"project-id\",\r\n dataset_name=\"Sales Data\",\r\n case_id_column=\"order_id\",\r\n activity_name_column=\"status\",\r\n activity_time_column=\"timestamp\",\r\n csv_file=\"/path/to/data.csv\"\r\n)\r\n\r\n# Upload from file object\r\nwith open(\"data.csv\", \"rb\") as f:\r\n dataset = client.datasets.create_from_csv(\r\n project_id=\"project-id\",\r\n dataset_name=\"Sales Data\",\r\n case_id_column=\"order_id\",\r\n activity_name_column=\"status\",\r\n activity_time_column=\"timestamp\",\r\n csv_file=f\r\n )\r\n\r\n# Upload binary data\r\ndataset = client.datasets.create_from_binary(\r\n project_id=\"project-id\",\r\n dataset_name=\"Processed Data\",\r\n binary_file=\"data.bin\"\r\n)\r\n```\r\n\r\n## Advanced Configuration\r\n\r\n```python\r\nclient = MindzieAPIClient(\r\n base_url=\"https://dev.mindziestudio.com\",\r\n tenant_id=\"your-tenant-id\",\r\n api_key=\"your-api-key\",\r\n timeout=60, # Request timeout in seconds\r\n max_retries=5, # Maximum retry attempts\r\n verify_ssl=True, # SSL certificate verification\r\n proxies={ # Proxy configuration\r\n \"http\": \"http://proxy.company.com:8080\",\r\n \"https\": \"https://proxy.company.com:8080\"\r\n }\r\n)\r\n```\r\n\r\n## Testing\r\n\r\nRun the test suite:\r\n\r\n```bash\r\n# Install development dependencies\r\npip install -e \".[dev]\"\r\n\r\n# Run all tests\r\npytest\r\n\r\n# Run with coverage\r\npytest --cov=mindzie_api\r\n\r\n# Run specific test categories\r\npytest -m unit\r\npytest -m integration\r\n\r\n# Run tests for specific module\r\npytest tests/unit/test_project.py\r\n```\r\n\r\n## Contributing\r\n\r\nWe welcome contributions! Please see our [Contributing Guide](CONTRIBUTING.md) for details.\r\n\r\n1. Fork the repository\r\n2. Create a feature branch (`git checkout -b feature/amazing-feature`)\r\n3. Commit your changes (`git commit -m 'Add amazing feature'`)\r\n4. Push to the branch (`git push origin feature/amazing-feature`)\r\n5. Open a Pull Request\r\n\r\n## Support\r\n\r\n- \ud83d\udce7 Email: support@mindzie.com\r\n- \ud83d\udcd6 Documentation: [https://docs.mindzie.com/api/python](https://docs.mindzie.com/api/python)\r\n- \ud83d\udc1b Issues: [GitHub Issues](https://github.com/mindzie/mindzie-api-python/issues)\r\n- \ud83d\udcac Discussions: [GitHub Discussions](https://github.com/mindzie/mindzie-api-python/discussions)\r\n\r\n## License\r\n\r\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\r\n\r\n## Changelog\r\n\r\nSee [CHANGELOG.md](CHANGELOG.md) for a list of changes in each version.\r\n\r\n## Authors\r\n\r\n- **Mindzie Development Team** - *Initial work* - [Mindzie](https://github.com/mindzie)\r\n\r\n## Acknowledgments\r\n\r\n- Thanks to all contributors who have helped improve this library\r\n- Built with love using Python, Pydantic, and Requests\r\n",
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