Table of contents
Kedro
An open-source framework for data science code.
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Modular Design
Kedro promotes a modular approach to project organization, which encourages clean and maintainable code with separate components for data, models, and pipelines.
Pipeline Abstraction
It provides a clear pipeline framework that helps in defining, running, and visualizing complex data workflows efficiently.
Reproducibility
By managing all project dependencies and configurations systematically, Kedro ensures that experiments are reproducible and consistent over time.
Version Control
Kedro integrates well with version control systems, enabling users to keep track of changes and collaborate effectively on data projects.
Data Catalog
It includes a data catalog feature that manages connections to various data sources and ensures consistency and easy access to datasets.
Extensibility
Kedro is designed to be extensible, allowing users to integrate custom components and adapt the framework to diverse project needs.
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Check the traffic stats of Kedro on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Kedro on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Kedro's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Kedro on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Kedro on Reddit. This can help you find out how popualr the product is and what people think about it.
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 / 11 months ago
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 / about 1 year ago
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Is Kedro good? This is an informative page that will help you find out. Moreover, you can review and discuss Kedro here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
