🚀 Deppy is a cutting-edge dependency executor for Python that empowers developers to design, build, and execute DAGs (Directed Acyclic Graphs) efficiently, effectively, and effortlessly.
Deppy is a versatile tool for designing complex workflows, including:
- 📊 ETL Pipelines: Seamlessly extract, transform, and load data across systems.
- 🛠️ Graph Building: Create complex workflows with minimal effort.
- ⚡ Optimized Execution: Executes dependencies in the optimal order, leveraging threads and concurrency for maximum performance.
- 🖼️ Graph Visualization: Gain insights into your workflows with intuitive visual representations of your DAGs.
- 🔄 Flexible Workflow Design: Seamlessly supports synchronous, asynchronous, and hybrid workflows.
- 🎯 Advanced Utilities: Packed with tools to streamline and supercharge your development experience.
- 🛡️ Reliable: Comprehensive test coverage ensures stability and reliability.
Deppy has support for python 3.11 and above.
To install Deppy, simply run:
pip install dep-pythonIf you want to use the helpers which have external dependencies, you can install them by running:
pip install 'dep-python[<helper>]'Supported helpers with external dependencies are:
- asyncclient
- dlt
A quick and easy example to get you started with Deppy:
from deppy import Deppy
def get_list():
return ["world!", "everyone!", "deppy!"]
def say_hello(to):
return f"Hello {to}"
deppy = Deppy()
get_list_node = deppy.add_node(func=get_list)
say_hello_node = deppy.add_node(func=say_hello)
deppy.add_edge(get_list_node, say_hello_node, input_name="to", loop=True)
result = deppy.execute()
print(result.query(say_hello_node)) # ['Hello world!', 'Hello everyone!', 'Hello deppy!']For detailed usage and advanced features, dive into our comprehensive documentation.
📂 Examples
The Examples folder contains practical demonstrations to help you get started quickly. Each example showcases how to use Deppy effectively in real-world scenarios. 🛠️
⚡ Transform your workflow management with Deppy today!