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-1.0.7.tar.gz (62.5 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-1.0.7-py3-none-any.whl (22.3 kB view details)

Uploaded Python 3

File details

Details for the file dep_python-1.0.7.tar.gz.

File metadata

  • Download URL: dep_python-1.0.7.tar.gz
  • Upload date:
  • Size: 62.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.5.9

File hashes

Hashes for dep_python-1.0.7.tar.gz
Algorithm Hash digest
SHA256 46e9eee1318b5ae25f2e721faa919b510c596f35e0779961800f1fd697057f55
MD5 0136b2430dbd99ba5695258ffdb5fa59
BLAKE2b-256 d744fbe6f25936a79e22d96ec635625a0064facee507a45e684ace3ebc20db67

See more details on using hashes here.

File details

Details for the file dep_python-1.0.7-py3-none-any.whl.

File metadata

  • Download URL: dep_python-1.0.7-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-1.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 72ae765feaa99c97ab3d19e206bd114671297680424a9a93cc4c089e4ef34ab8
MD5 f8da70445b02770f74f64032cde46505
BLAKE2b-256 15137754012d35eb175aad060fab07d45466ebb630a2cddfb7dbb1328157969c

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