Skip to main content

Deppy: A Python dependency executor that builds and executes DAGs efficiently, optimizing workflows with concurrency and flexibility. Perfect for managing complex dependent tasks effortlessly.

Project description

Deppy

Coverage Code Quality

🚀 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.

🌟 Features:

  • 🛠️ 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.

📦 Installation

Deppy has support for python 3.11 and above.

To install Deppy, simply run:

pip install dep-python

If 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

🚀 Quick Start

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!']

📖 Documentation

For detailed usage and advanced features, dive into our comprehensive documentation.


⚡ Transform your workflow management with Deppy today!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dep_python-1.0.8.tar.gz (62.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dep_python-1.0.8-py3-none-any.whl (22.3 kB view details)

Uploaded Python 3

File details

Details for the file dep_python-1.0.8.tar.gz.

File metadata

  • Download URL: dep_python-1.0.8.tar.gz
  • Upload date:
  • Size: 62.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.5.9

File hashes

Hashes for dep_python-1.0.8.tar.gz
Algorithm Hash digest
SHA256 c370518db17855b75d41fe04c2b8321dc065025cfff4b4506e5e3debb99be153
MD5 fdb4e077de64d1ad6f29064574018f29
BLAKE2b-256 3f1b30a7d60e0a815f844675876374c4a2b57d640e455c6ef179be6c5f320d99

See more details on using hashes here.

File details

Details for the file dep_python-1.0.8-py3-none-any.whl.

File metadata

  • Download URL: dep_python-1.0.8-py3-none-any.whl
  • Upload date:
  • Size: 22.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.5.9

File hashes

Hashes for dep_python-1.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 c1397e0e3f1ae76ca369101d09baf6f42547bfb431c9d413ea5a2d95210b17e8
MD5 305ca5ed22103391b761598316e7bce1
BLAKE2b-256 d5325d25d7b7453d61252b76709251d29f31150b14abaa24c3494ad72b4acbf0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page