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GraphQL Playground VS iPython

Compare GraphQL Playground VS iPython and see what are their differences

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GraphQL Playground logo GraphQL Playground

GraphQL IDE for better development workflows

iPython logo iPython

iPython provides a rich toolkit to help you make the most out of using Python interactively.
  • GraphQL Playground Landing page
    Landing page //
    2023-10-09
  • iPython Landing page
    Landing page //
    2021-10-07

GraphQL Playground features and specs

  • Interactive Interface
    GraphQL Playground provides a user-friendly, interactive interface for exploring and testing GraphQL queries and mutations. This allows developers to quickly experiment with their GraphQL API.
  • Auto-Completion and Syntax Highlighting
    It offers auto-completion and syntax highlighting which increases productivity by helping developers write correct GraphQL queries faster.
  • Built-in Documentation
    The built-in documentation explorer helps developers easily navigate and understand the GraphQL schemas, types, and fields available in their API.
  • Real-time Error Feedback
    Provides real-time error feedback, making it easier to identify and fix issues while writing queries, resulting in smoother development workflows.
  • Request History
    GraphQL Playground maintains a history of queries and mutations executed, allowing developers to quickly revisit and reuse previous work.
  • Customizable Settings
    It is highly customizable, allowing developers to set endpoint URLs, headers, and other configurations to match various environments (development, staging, production).

Possible disadvantages of GraphQL Playground

  • Performance
    GraphQL Playground can be resource-intensive, consuming significant amounts of memory and CPU, which might slow down the development environment, especially with large schemas.
  • Security Concerns
    As an interactive playground embedded in web interfaces, it may expose sensitive data or operations if not properly secured, necessitating careful configuration and access control.
  • Limited Offline Use
    Since it relies on an active endpoint to fetch schema details and execute queries, its utility is limited when working offline.
  • Deprecated Maintenance
    As of 2020, the GraphQL Playground repository is not actively maintained anymore, which means it may not receive updates, bug fixes, or new features.
  • Complex Configuration
    In comparison to simpler alternatives, setting up and configuring GraphQL Playground can be more complex and time-consuming.

iPython features and specs

  • Interactive Computing
    IPython provides a rich toolkit to help you make the most out of using Python interactively. This includes powerful introspection, rich media display, session logging, and more.
  • Ease of Use
    IPython includes features like syntax highlighting, tab completion, and easy access to the help system, which make writing and understanding code easier for users.
  • Rich Display System
    It supports rich media like images, videos, LaTeX, and HTML, making it very useful for data visualization and educational purposes.
  • Extensibility
    IPython is highly extensible and can be customized with a range of plugins, extensions, and different backends to suit various needs.
  • Enhanced Debugging
    It features enhanced debugging capabilities, including an improved traceback support and better handling of exceptions.

Possible disadvantages of iPython

  • Learning Curve
    For beginners, the extensive feature set of IPython may be overwhelming and have a steep learning curve.
  • Resource Intensive
    IPython, particularly Jupyter notebooks, can be resource-intensive, leading to slow performance on large datasets or complex computations.
  • Dependency Management
    Managing dependencies can be challenging, especially when using multiple packages in the same environment, which can lead to conflicts.
  • Limited IDE Features
    While IPython has many interactive features, it lacks some of the more advanced IDE features such as comprehensive code refactoring tools and integrated version control.
  • Exporting and Sharing
    Although you can export notebooks in various formats, sharing them in a way that preserves full interactivity can be complex compared to traditional scripts.

Analysis of GraphQL Playground

Overall verdict

  • Yes, GraphQL Playground is considered a good tool, especially for its user-friendly features and robust functionality. It significantly enhances the API development experience, particularly when dealing with GraphQL.

Why this product is good

  • GraphQL Playground is a popular tool for testing and exploring GraphQL APIs. It offers an intuitive interface, enabling developers to write GraphQL queries, inspect responses, and debug their GraphQL operations with ease. The tool supports multiple environments and provides features like query history, documentation exploration, and real-time subscriptions, making it a versatile choice for both beginner and advanced users.

Recommended for

    GraphQL Playground is recommended for developers and software engineers who are working with GraphQL APIs. It is particularly useful for those who need to test and debug APIs, create and manage queries efficiently, or just learn more about how a GraphQL API works. It's suitable for both individual developers and teams looking to streamline their API development workflows.

Analysis of iPython

Overall verdict

  • Yes, iPython is highly regarded for its flexibility, powerful features, and ability to enhance productivity in data analysis and scientific computing. It serves as an integral tool for many professionals in technical fields.

Why this product is good

  • iPython, which forms the backbone of the Jupyter ecosystem, is favored for its interactive capabilities, integration with various data science libraries, and support for visualizations. It allows seamless execution of code in a web-based environment, making it highly effective for experiments, rapid prototyping, and sharing insights.

Recommended for

  • Data Scientists
  • Researchers
  • Educators
  • Software Developers
  • Anyone interested in interactive and exploratory computing

GraphQL Playground videos

+ Add

Graphql playground review completa parte 1

More videos:

  • Review - Create Local GraphQL Playground
  • Review - Graphql playground review completa parte 2

iPython videos

No iPython videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to GraphQL Playground and iPython)

GraphQL Playground

iPython

Developer Tools
100 100%
Developer Tools
0% 0
Python IDE
0 0%
Python IDE
100% 100
GraphQL
100 100%
GraphQL
0% 0
Text Editors
0 0%
Text Editors
100% 100

User comments

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Social recommendations and mentions

Based on our record, iPython should be more popular than GraphQL Playground. It has been mentiond 19 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.

GraphQL Playground mentions (12)

  • Show HN: API Parrot – Automatically Reverse Engineer HTTP APIs"
    Have you tried something like GraphQL playground before? https://github.com/graphql/graphql-playground There's other tools out there that can generate similar docs or playgrounds, given you have a schema/spec of some type. - Source: Hacker News / 6 months ago
  • Exploring GraphiQL 2 Updates and New Features
    GraphiQL is a tool that was created to help developers explore GraphQL APIs, maintained by the GraphQL Foundation. But when GraphiQL became more and more popular, developers started to create additional GraphQL IDEs. A good example of this was GraphQL Playground, which quickly became the most popular GraphQL IDE. It was loosely based on GraphiQL, but had more features and a better UI. - Source: dev.to / over 2 years ago
  • Why Is It So Important To Go To Meetups
    I went to a GraphQL meetup and they used the gql playground and a similar schema generator to what I was using, and it made me feel relevant. - Source: dev.to / about 3 years ago
  • GraphQL subscriptions at scale with NATS
    Here, we'll create a simple GraphQL server and subscribe to a subject from our resolver. We'll use GraphQL playground to mock client side behavior. Once we're connected we'll use NATS CLI to send a payload to our subject and see the changes on the client. - Source: dev.to / over 3 years ago
  • GraphQL vs REST in .NET Core
    Now we can consume created GraphQL API. In the GitHub Repo same functionality has been added with REST approach and GraphQL endpoint. Also widely used Swagger configured for Web API Endpoints as well as AltairUI added for GraphQL endpoint testing. Naturally, AltairUI it not a must for GraphQL, you can also use Swagger, GraphiQL, or GraphQL Playground. - Source: dev.to / over 3 years ago
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iPython mentions (19)

  • Modern Python REPL in Emacs using VTerm
    As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, I’m currently in the process of getting my “new” python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython don’t jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / about 1 year ago
  • Wanting to learn how to code, but completely lost.
    Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: about 2 years ago
  • IJulia: The Julia Notebook
    IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / about 2 years ago
  • How to "end" a loop in the REPL?
    Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 2 years ago
  • State of Object Oriented Shells for *nix
    I know this isn't quite what you're asking for, but IPython (https://ipython.org/) is very capable as a Python + bash (or other) shell, as it allows you to easily integrate the system shell into the interactive environment. Although they now recommend Xonsh (https://xon.sh/) for such purposes. Source: over 2 years ago
View more

What are some alternatives?

When comparing GraphQL Playground and iPython, you can also consider the following products

How to GraphQL - Open-source tutorial website to learn GraphQL development

PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...

Stellate.co - Everything you need to run your GraphQL API at scale

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

GraphQl Editor - Editor for GraphQL that lets you draw GraphQL schemas using visual nodes

IDLE - Default IDE which come installed with the Python programming language.

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