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Kedro VS Versatile Data Kit

Compare Kedro VS Versatile Data Kit and see what are their differences

Kedro logo Kedro

An open-source framework for data science code

Versatile Data Kit logo Versatile Data Kit

An open-source framework that enables anybody to create their own data pipelines, with: - Data SDK for the automation of data extraction, transformation, and loading.
  • Kedro Landing page
    Landing page //
    2024-07-13
  • Versatile Data Kit Landing page
    Landing page //
    2023-10-18

Kedro videos

What is Kedro? Why is it useful? A Non-Technical Intro to Kedro

More videos:

  • Review - Introducing Kedro
  • Review - Kedro Intro and Hello World example

Versatile Data Kit videos

No Versatile Data Kit videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Kedro and Versatile Data Kit)
Workflow Automation
66 66%
34% 34
Utilities
0 0%
100% 100
Data Science And Machine Learning
Automation
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Kedro and Versatile Data Kit

Kedro Reviews

5 Airflow Alternatives for Data Orchestration
Kedro provides a standardized project template, data connectors, pipeline abstraction, coding standards, and flexible deployment options, which simplify the process of building, testing, and deploying data science projects. By using Kedro, data scientists can ensure a consistent and organized project structure, easily manage data and model versioning, automate pipeline...
10 Best Airflow Alternatives for 2024
Add CLI Commands: Plugins can be used to insert extra CLI commands that will be reused across projects. Kedro plugins allow you to extend Kedro’s functionality and inject new commands into the CLI. Plugins are created as stand-alone Python packages that are explicit to any Kedro project.
Source: hevodata.com
Comparison of Python pipeline packages: Airflow, Luigi, Gokart, Metaflow, Kedro, PipelineX
Kedro enables you to define pipelines using list of node functions with 3 arguments (func: task processing function, inputs: input data name (list or dict if multiple), outputs: output data name (list or dict if multiple)) in Python code (an independent Python module).
Source: medium.com

Versatile Data Kit Reviews

We have no reviews of Versatile Data Kit yet.
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Social recommendations and mentions

Based on our record, Versatile Data Kit should be more popular than Kedro. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Kedro mentions (2)

  • 20 Open Source Tools I Recommend to Build, Share, and Run AI Projects
    Kedro is an ML development framework that brings data science projects from pilot development to production by creating reproducible, maintainable, and modular data science code. Kedro has a data catalog for data handling, support pipeline building, and a standardized template for code maintainability and consistency to effectively do this. Its data catalog uses lightweight data connectors to manage and track... - Source: dev.to / 7 months ago
  • 25 Open Source AI Tools to Cut Your Development Time in Half
    Kedro is an ML development framework for creating reproducible, maintainable, modular data science code. Kedro improves AI project development experience via data abstraction and code organization. Using lightweight data connectors, it provides a centralized data catalog to manage and track datasets throughout a project. This enables data scientists to focus on building production level code through Kedro's data... - Source: dev.to / 11 months ago

Versatile Data Kit mentions (10)

  • If dbt is the "T" part of an "ELT", what do you use for "EL"?
    I work at VMware and we use one tool for the whole ELT, it was made internally as there was no good alternative at the time and now we opensourced it, here it is: https://github.com/vmware/versatile-data-kit. Source: about 2 years ago
  • Dear, pipeline builders! Which step in your role is the most time consuming?
    "suggestions on how to reduce the time spent on initially generating and adjusting the code" is using some tools that automate ELT. Here's one open-source tool I'm working on with my team: https://github.com/vmware/versatile-data-kit. Source: over 2 years ago
  • ETL question (noob)
    Have you heard about versatile data kit (https://github.com/vmware/versatile-data-kit)? I think it meets your needs perfectly:. Source: over 2 years ago
  • DE Open Source
    Versatile Data Kit is a framework to bBuild, run and manage your data pipelines with Python or SQL on any cloud https://github.com/vmware/versatile-data-kit Here's a list of good first issues: https://github.com/vmware/versatile-data-kit/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22 Join our slack channel to connect with our team: https://cloud-native.slack.com/archives/C033PSLKCPR. Source: over 2 years ago
  • How much python is enough for a beginner?
    There are some DE tools now that provide automation, so you don't need to have advanced Python to build your pipelines, like this one here: https://github.com/vmware/versatile-data-kit. Source: over 2 years ago
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What are some alternatives?

When comparing Kedro and Versatile Data Kit, you can also consider the following products

Metaflow - Framework for real-life data science; build, improve, and operate end-to-end workflows.

Mage AI - Open-source data pipeline tool for transforming and integrating data.

Prefect.io - Prefect offers modern workflow orchestration tools for building, observing & reacting to data pipelines efficiently.

Caravel - Visual, intuitive, and interactive data exploration platform

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.