Software Alternatives, Accelerators & Startups

GraphQL VS Please

Compare GraphQL VS Please and see what are their differences

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GraphQL logo GraphQL

GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.

Please logo Please

A Cross-Language Build System
  • GraphQL Landing page
    Landing page //
    2023-08-01
  • Please Landing page
    Landing page //
    2021-10-11

GraphQL features and specs

  • Efficient Data Retrieval
    GraphQL allows clients to request only the data they need, reducing the amount of data transferred over the network and improving performance.
  • Strongly Typed Schema
    GraphQL uses a strongly typed schema to define the capabilities of an API, providing clear and explicit API contracts and enabling better tooling support.
  • Single Endpoint
    GraphQL operates through a single endpoint, unlike REST APIs which require multiple endpoints. This simplifies the server architecture and makes it easier to manage.
  • Introspection
    GraphQL allows clients to query the schema for details about the available types and operations, which facilitates the development of powerful developer tools and IDE integrations.
  • Declarative Data Fetching
    Clients can specify the shape of the response data declaratively, which enhances flexibility and ensures that the client and server logic are decoupled.
  • Versionless
    Because clients specify exactly what data they need, there is no need to create different versions of an API when making changes. This helps in maintaining backward compatibility.
  • Increased Responsiveness
    GraphQL can batch multiple requests into a single query, reducing the latency and improving the responsiveness of applications.

Possible disadvantages of GraphQL

  • Complexity
    The setup and maintenance of a GraphQL server can be complex. Developers need to define the schema precisely and handle resolvers, which can be more complicated than designing REST endpoints.
  • Over-fetching Risk
    Though designed to mitigate over-fetching, poorly designed GraphQL queries can lead to the server needing to fetch more data than necessary, causing performance issues.
  • Caching Challenges
    Caching in GraphQL is more challenging than in REST, since different queries can change the shape and size of the response data, making traditional caching mechanisms less effective.
  • Learning Curve
    GraphQL has a steeper learning curve compared to RESTful APIs because it introduces new concepts such as schemas, types, and resolvers which developers need to understand thoroughly.
  • Complex Rate Limiting
    Implementing rate limiting is more complex with GraphQL than with REST. Since a single query can potentially request a large amount of data, simple per-endpoint rate limiting strategies are not effective.
  • Security Risks
    GraphQL's flexibility can introduce security risks. For example, improperly managed schemas could expose sensitive information, and complex queries can lead to denial-of-service attacks.
  • Overhead on Small Applications
    For smaller applications with simpler use cases, the overhead introduced by setting up and maintaining a GraphQL server may not be justified compared to a straightforward REST API.

Please features and specs

  • Performance
    Please build offers high performance build speeds, which can significantly reduce build times compared to other tools. This is achieved through parallel execution and efficient incremental builds.
  • Flexibility
    Please is highly configurable and flexible, allowing developers to tailor the build system to fit a wide range of project requirements and workflows.
  • Cross-platform
    It supports cross-platform builds, enabling developers to use a single build system for projects targeting multiple operating systems.
  • Minimal Dependencies
    Please requires minimal external dependencies, which simplifies setup and reduces the potential for version conflicts and other dependency-related issues.
  • Open Source
    As an open-source tool, Please allows users to inspect, modify, and contribute to the codebase, fostering a collaborative community environment.

Possible disadvantages of Please

  • Steep Learning Curve
    New users might find Please build's configuration and scripting style challenging to learn, especially if they are not familiar with build systems.
  • Limited Ecosystem
    Compared to more established build tools, Please has a smaller ecosystem, which might result in fewer plugins, integrations, and community resources.
  • Complex Configuration
    For certain projects, the configuration might become complex, requiring careful management to maintain readability and manageability of build scripts.
  • Less Popular
    Please is not as widely adopted as some other build systems, potentially leading to fewer examples and support resources available online.

GraphQL videos

REST vs. GraphQL: Critical Look

More videos:

  • Review - REST vs GraphQL - What's the best kind of API?
  • Review - What Is GraphQL?

Please videos

Chinese March: ่ฏทไฝ ๆฃ€้˜… - Please Review

More videos:

  • Review - Hong Kong March: ่ฏทไฝ ๆฃ€้˜… - Please Review (Instrumental)
  • Review - ่ฏทไฝ ๆฃ€้˜… (March ยซPlease, reviewยป)

Category Popularity

0-100% (relative to GraphQL and Please)
Developer Tools
100 100%
0% 0
Action
0 0%
100% 100
JavaScript Framework
100 100%
0% 0
Front End Package Manager

User comments

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Social recommendations and mentions

Based on our record, GraphQL seems to be a lot more popular than Please. While we know about 258 links to GraphQL, we've tracked only 12 mentions of Please. 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 mentions (258)

  • API Development: How to Transition to Modern APIs
    GraphQL is a query language combined with a server-side runtime. It was created by Facebook in 2012, and soon after, they released the specification to the public and made a NodeJS implementation open source. - Source: dev.to / 4 months ago
  • Readings in Database Systems (5th Edition)
    Definitely they should include D4M and GraphQL [1],[2]. Not only D4M can cater for structured relational data, it also suitable for sparse data in spreadsheet, matrices and graph. It's essentially a generalization of SQL but for all things data. There's also integration of D4M with SciDB [3]. [1] D4M: Dynamic Distributed Dimensional Data Model: https://d4m.mit.edu/ [2] GraphQL: https://graphql.org/ [3] D4M:... - Source: Hacker News / 8 months ago
  • Why GraphQL Is Gaining Adoption
    GraphQL is becoming a popular choice, making development easier. - Source: dev.to / 10 months ago
  • Why GraphQL is gaining adoption
    In modern software architecture, Jamstack separates the frontend from the backend through API consumption. Traditionally, this has been achieved with RESTful APIs, which enable data exchange between server and client. However, REST often causes performance issues, such as over-fetching and added complexity. A client may need only a small subset of data, but a REST endpoint might return an entire dataset, which... - Source: dev.to / 11 months ago
  • These Key Features of GraphQL make it Unique among Other API Technologies
    Before we dive into GraphQL, it's crucial to understand the challenges it was designed to solve. Traditional API architectures like REST often struggle with two pervasive and inefficient patterns:. - Source: dev.to / 11 months ago
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Please mentions (12)

  • What I wish I knew about Python when I started
    Pip is a command line package manager that comes with Python, but it is definitely not the only package manager. Other tools like pipenv, poetry, pdm, conda, and even some third-party applications like please can all manage Python dependencies. One common mistake beginners make is installing Python, and then running pip install (or even worse, sudo pip install), before moving forward. While this works in the... - Source: dev.to / over 1 year ago
  • Top programming languages created in the 2010's on GitHub by stars
    Iโ€™m not sure a JS library qualifies as a PL. Or automation software (SoftStack). Or an API description language. Or a build system. Source: over 3 years ago
  • Just Use a Monorepo
    Regarding your first point, a good alternative to Bazel is [Please][https://please.build/] - its build graph can solve exactly this problem in CI. - Source: Hacker News / over 3 years ago
  • Need to know about various distributed build tools available
    Checkout: https://please.build/ - CMake is not directly supported, but you can easily extend please.build to invoke cmake commands to build your targets. - It does supports both Windows(ehweee) and Linux - MIT - BONUS: it is fast. Really fast(||)! Single binary. It is also versatile. I am using it to build a repo with multiple programming languages(C++(Wasm),Go,Js, Flutter), while spinning up vagrant and... Source: almost 4 years ago
  • When to Use Bazel?
    > the best way forward is to take the ideas of Bazel (hermetic and deterministic builds) and package them as a good small build system, perhaps even compatible with Bazel so you don't have to rewrite build rules all the time. How does https://please.build measure up? - Source: Hacker News / almost 4 years ago
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What are some alternatives?

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

Next.js - A small framework for server-rendered universal JavaScript apps

Gradle - Accelerate developer productivity. Gradle helps teams build, automate and deliver better software, faster. DocsExplore the documentation of Gradle. Find installation ..

React - A JavaScript library for building user interfaces

GNU Make - GNU Make is a tool which controls the generation of executables and other non-source files of a program from the program's source files.

gRPC - Application and Data, Languages & Frameworks, Remote Procedure Call (RPC), and Service Discovery

Eyes โ€“ The Horror Game - Eyes โ€“ The Horror Game is an Action-Adventure, Horror, 1st-person Exploration and Single-player video game by Paulina Pabis and Michel Pabis.