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Kedro Alternatives
Similar projects and alternatives to Kedro
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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PRAW
PRAW, an acronym for "Python Reddit API Wrapper", is a python package that allows for simple access to Reddit's API.
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Mage
🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai
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flyte
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
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cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
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DurableTask
Durable Task Framework allows users to write long running persistent workflows in C# using the async/await capabilities.
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better Kedro alternative or higher similarity.
Kedro discussion
Kedro reviews and mentions
Posts with mentions or reviews of Kedro.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-11-13.
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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 datasets. This allows you to use the same pipeline to build multiple production-level codes across your system.
- Kedro – An open-source framework for data science code
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10 Open Source MLOps Projects You Didn’t Know About
Kedro A serious problem with machine learning projects is the complex process involved in taking models from development to production. Kedro is an open source tool that solves this problem by employing software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
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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 pipelines, enabling other stakeholders to use the same pipelines in different parts of the system.
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Nextflow: Data-Driven Computational Pipelines
Interesting, thanks for sharing. I'll definitely take a look, although at this point I am so comfortable with Snakemake, it is a bit hard to imagine what would convince me to move to another tool. But I like the idea of composable pipelines: I am building a tool (too early to share) that would allow to lay Snakemake pipelines on top of each other using semi-automatic data annotations similar to how it is done in kedro (https://github.com/kedro-org/kedro).
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A Polars exploration into Kedro
# pyproject.toml [project] dependencies = [ "kedro @ git+https://github.com/kedro-org/kedro@3ea7231", "kedro-datasets[pandas.CSVDataSet,polars.CSVDataSet] @ git+https://github.com/kedro-org/kedro-plugins@3b42fae#subdirectory=kedro-datasets", ]
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What are some open-source ML pipeline managers that are easy to use?
So there's 2 sides to pipeline management: the actual definition of the pipelines (in code) and how/when/where you run them. Some tools like prefect or airflow do both of them at once, but for the actual pipeline definition I'm a fan of https://kedro.org. You can then use most available orchestrators to run those pipelines on whatever schedule and architecture you want.
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How do data scientists combine Kedro and Databricks?
We have set up a milestone on GitHub so you can check in on our progress and contribute if you want to. To suggest features to us, report bugs, or just see what we're working on right now, visit the Kedro projects on GitHub.
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How do you organize yourself during projects?
you could use a project framework like kedro to force you to be more disciplined about how you structure your projects. I'd also recommend checking out this book: Edna Ridge - Guerrilla Analytics: A Practical Approach to Working with Data
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Futuristic documentation systems in Python, part 1: aiming for more
Recently I started a position as Developer Advocate for Kedro, an opinionated data science framework, and one of the things we're doing is exploring what are the best open source tools we can use to create our documentation.
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A note from our sponsor - SaaSHub
www.saashub.com | 24 May 2025
Stats
Basic Kedro repo stats
33
10,342
9.4
7 days ago
kedro-org/kedro is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of Kedro is Python.
Sponsored
InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com