Kedro
Kedro offers a robust framework for building production-ready data science projects, integrating software engineering practices into machine learning workflows. It features a versatile Data Catalog supporting multiple data sources and formats, automated dependency resolution, and seamless collaboration tools, enabling teams to efficiently manage experiments and streamline transitions from development to deployment.
Top Kedro Alternatives
Daft
Daft is a powerful data framework that integrates SQL and Python DataFrame interfaces, offering high performance through Rust.
Vectice
The Data Science Documentation Platform empowers data scientists and model developers to enhance AI trustworthiness and streamline collaboration.
dotData
DotData's Feature Factory transforms the approach to feature discovery and engineering for machine learning.
Outerbounds
The Outerbounds platform empowers data scientists to seamlessly design, develop, and deploy data-intensive projects using Metaflow.
Knoldus
Focused on bot verification, this leading team of Functional Programming and Fast Data engineers crafts tailored, high-performance solutions.
Solvuu
This innovative data science platform empowers life scientists to transform microbiome research into actionable insights.
Deepnote
Seamlessly integrating with popular data sources, it empowers teams to collaborate in real-time while ensuring...
Zepl
With powerful search capabilities, users can easily discover and reuse models and code...
FICO Analytics Workbench
It features patented techniques for credit risk and fraud modeling, entity resolution, and relationship analytics...
IBM Watson Studio
Its features, including AutoAI for automated model development and governance tools for risk management, enhance...
Cloudera Data Science Workbench
It supports R, Python, and Scala in a secure, browser-based environment, enabling rapid development and...
IBM Watson Machine Learning
With features like automated machine learning, model monitoring, and decision optimization, teams can accelerate workflows...
SAS Viya
Its intuitive interface supports both visual and programming approaches, facilitating collaboration among data scientists...
Salesforce Einstein
It empowers users to build and customize AI-driven applications effortlessly, fostering collaboration between humans and...
SAS Visual Data Science
Leveraging advanced machine learning, text analytics, and econometrics, it facilitates the creation of interactive reports...
Top Kedro Features
- Data lineage visualization
- Machine-learning experiment tracking
- Lightweight data connectors
- Extensive file format support
- Modular project templates
- Automatic dependency resolution
- Test-driven development integration
- Code documentation with Sphinx
- Linted code support
- Deployment flexibility
- Seamless Visual Studio Code integration
- Community support on Slack
- Experiment recreation capabilities
- Open-source framework
- Scalable architecture for production
- Support for multiple cloud platforms
- Enhanced code navigation
- Compatibility with popular tools
- Standardized project structure
- Streamlined workflow process
