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Enzyme VS data.world

Compare Enzyme VS data.world and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Enzyme logo Enzyme

Enzyme is a JavaScript testing utility for React.

data.world logo data.world

The social network for data people
  • Enzyme Landing page
    Landing page //
    2023-10-16
  • data.world Landing page
    Landing page //
    2023-09-26

Enzyme

Website
github.com
Pricing URL
-
Release Date
-
Edit details

data.world

Website
data.world
Pricing URL
Official data.world Pricing
Release Date
2015 January
Startup details
Country
United States
State
Texas
City
Austin
Founder(s)
Brett Hurt
Employees
50 - 99
Edit details

Enzyme features and specs

  • Shallow Rendering
    Allows you to render a component without its children, which speeds up tests and isolates the component being tested.
  • Rich API
    Provides a comprehensive set of APIs that enable deep rendering, traversing, and manipulating of components, making it flexible and powerful for various testing needs.
  • Compatibility with Mocha and Jest
    Easily integrates with popular testing frameworks like Mocha and Jest, ensuring a smooth setup process.
  • Simulate Events
    Supports simulation of user events such as clicks, enabling more realistic interaction testing.
  • Selector Support
    Allows for selecting and finding elements using CSS selectors or component constructors, making it easier to target specific elements in tests.
  • Active Community
    Has a large and active community, which can be a valuable resource for support, plugins, and best practices.

Possible disadvantages of Enzyme

  • Complex Setup
    The initial setup and configuration can be complex, especially for beginners, requiring additional libraries and configurations.
  • Limited Support for New React Features
    Often lags behind in supporting new React features, such as Hooks or the latest Context API, compared to other testing frameworks.
  • Deprecation Warnings
    Issues with deprecation warnings and updates can arise, causing frustrations during maintenance and upgrades.
  • Performance Overhead
    Can be slower compared to other testing libraries, especially when using deep rendering for large components.
  • Inconsistent API
    Some users find the API inconsistent or unintuitive, requiring more effort to learn and use effectively.

data.world features and specs

  • Collaborative Environment
    data.world provides a platform for teams to collaborate on data projects in real-time, making it easier for data scientists, analysts, and enthusiasts to work together and share insights.
  • Integration Capabilities
    The platform supports integrations with popular tools and services like Excel, Tableau, and Python, making it easier to import, export, and manipulate data across various applications.
  • Extensive Dataset Catalog
    data.world offers a vast collection of public datasets, empowering users to find and leverage data from a wide range of sources for their projects.
  • Querying Tools
    Users can execute SQL queries directly on the data.world platform, enabling powerful data analysis and transformations within the environment.
  • User-Friendly Interface
    The platform features an intuitive user interface that makes it accessible for users with varying levels of technical expertise.

Possible disadvantages of data.world

  • Pricing
    While data.world offers a free tier, more advanced features and functionality require a paid subscription, which might be cost-prohibitive for individuals or smaller organizations.
  • Learning Curve
    Despite its user-friendly interface, there is still a learning curve associated with fully utilizing all of the platform's features, particularly for users who are not familiar with SQL or data analysis tools.
  • Performance Limitations
    For very large datasets or complex analytical operations, the platform may experience performance constraints, potentially requiring users to rely on more powerful, external data processing tools.
  • Data Privacy Concerns
    As with any cloud-based platform, there are inherent data privacy and security concerns. Users must be cautious about the sensitivity of the data they upload and ensure compliance with relevant regulations.
  • Feature Parity with Competitors
    While data.world offers many great features, some users might find that other data collaboration platforms provide more advanced or specialized tools that better suit their needs.

Analysis of Enzyme

Overall verdict

  • Enzyme is generally considered a good tool for testing React applications, especially among developers familiar with its API. However, it is worth noting that there has been a shift towards using React Testing Library, which has gained popularity for its focus on testing the application as users would interact with it.

Why this product is good

  • Enzyme is a popular JavaScript testing utility for React that makes it easier to assert, manipulate, and traverse your React Components' output. It provides methods for rendering components, interacting with them, and testing their lifecycle methods, which are essential for writing comprehensive tests for your React applications.

Recommended for

    Enzyme is recommended for developers who are working on React applications and prefer a testing library that provides a more detailed inspection of component internals, or for those maintaining legacy codebases that already rely on Enzyme. If you value testing that emphasizes implementation details, Enzyme can be a good choice.

Analysis of data.world

Overall verdict

  • Overall, data.world is regarded as a beneficial platform for data enthusiasts, professionals, and organizations looking to collaborate on data projects. Its user-friendly interface, strong community focus, and extensive features make it a valuable resource for those working with data.

Why this product is good

  • data.world is considered a good platform for a variety of reasons. It acts as a collaborative data community where users can discover and share open data. The platform provides tools for collaborative data projects, making it easier for users to work together on data analysis and insights. It also supports a wide range of data formats and offers integrations with other tools and platforms, enhancing its versatility. Additionally, data.world emphasizes openness and transparency, which can foster trust among users who are seeking reliable data sources.

Recommended for

  • Data analysts and scientists who need a collaborative environment to work on data projects.
  • Organizations looking to share and manage their data with a broader community.
  • Educators and researchers seeking open data sets for teaching or scholarly purposes.
  • Business professionals who require integration with other data tools for enhanced data insights.

Enzyme videos

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Enzymes (Updated)

More videos:

  • Review - Enzymes
  • Review - Over-the-Counter Enzyme Supplements Explained: Mayo Clinic Physician Explains Pros, Cons

data.world videos

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Category Popularity

0-100% (relative to Enzyme and data.world)

Enzyme

data.world

Developer Tools
100 100%
Developer Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Front End Package Manager
100 100%
Front End Package Manager
0% 0
Data Integration
0 0%
Data Integration
100% 100

User comments

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Social recommendations and mentions

Based on our record, data.world should be more popular than Enzyme. It has been mentiond 24 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.

Enzyme mentions (3)

  • Top React Testing Libraries in 2025
    Enzyme is a widely-used testing utility that provides robust tools for interacting with and inspecting React components. Its API supports shallow, full, and static rendering, enabling developers to test components in isolation or with their child components. Enzyme also allows testing lifecycle methods, making it ideal for applications with complex state and props interactions. - Source: dev.to / over 1 year ago
  • How we have managed to run Enzyme tests with React 18 app.
    Like many other companies with mature software, we found ourselves at a crossroads with our React application. The app, initially developed in early 2019, was built with React 16 and used Enzyme for unit testing. Over the past five years, the app grew, evolved, gained new features, and went though minor and major refactorings. Obviously, as responsible engineers we always maintained unit test coverage around... - Source: dev.to / almost 2 years ago
  • What would you consider to be a must for a modern 2022 dev stack?
    React testing library instead of enzyme for testing react UIs. I'll never go back. Source: about 4 years ago

data.world mentions (24)

  • Is data at every company still an absolute mess?
    I'll be sure to check out data.world propose to use it if it makes sense, thanks. Source: about 3 years ago
  • GIS data for a project. I apologize for the banality of my request and for my English.
    Just google qgis datasets. There are so so many interesting sets you will find. Check out qgis.org, or data.world for starters. Source: over 3 years ago
  • Best way to open source a my dataset?
    But, I'm also aware that there are dedicated platforms to catalog and share data (e.g. https://www.dolthub.com/, https://data.world/), and that uploading data on Github, in general, doesn't seem best practise. Source: over 3 years ago
  • Alation vs. Atlan vs. Collibra
    The client is considering the 3 I mentioned, plus data.world. I need to research that one next. Microsoft Purview has already been considered. Source: over 3 years ago
  • Looking for christmas cost dataset by year and country.
    Im looking for Christmas cost dataset by year and country, Im looking in the data.world and other web pages and I cant found anything. Source: over 3 years ago
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What are some alternatives?

When comparing Enzyme and data.world, you can also consider the following products

Ava - Making conversations accessible for the deaf

Denodo - Denodo delivers on-demand real-time data access to many sources as integrated data services with high performance using intelligent real-time query optimization, caching, in-memory and hybrid strategies.

Jasmine - Behavior-Driven JavaScript

IBM Cloud Pak for Data - Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift โ€“ fully integrated, open, containerized and secure solutions certified by IBM.

react-testing-library - [`React Testing Library`][gh] builds on top of `DOM Testing Library` by adding

Teradata QueryGrid - Data Fabric

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