GraphQL vs jupyterlab

Overview

GraphQL

Stacks34.9K

Followers28.1K

Votes309

jupyterlab

Stacks192

Followers38

Votes0

GitHub Stars13.4K

Forks2.9K

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CLI (Node.js)

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Detailed Comparison

GraphQL	jupyterlab
GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.	The JupyterLab notebook server extension.
Hierarchical;Product-centric;Client-specified queries;Backwards Compatible;Structured, Arbitrary Code;Application-Layer Protocol;Strongly-typed;Introspective	-
Statistics
GitHub Stars -	GitHub Stars 13.4K
GitHub Forks -	GitHub Forks 2.9K
Stacks 34.9K	Stacks 192
Followers 28.1K	Followers 38
Votes 309	Votes 0
Pros & Cons
Pros 75 Schemas defined by the requests made by the user 63 Will replace RESTful interfaces 62 The future of API's 49 The future of databases 12 Get many resources in a single request Cons 4 Hard to migrate from GraphQL to another technology 4 More code to type. 2 Takes longer to build compared to schemaless. 1 No support for caching 1 No built in security	No community feedback yet

What are some alternatives to GraphQL, jupyterlab?

Prisma

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

PostGraphile

Execute one command (or mount one Node.js middleware) and get an instant high-performance GraphQL API for your PostgreSQL database

OData

It is an ISO/IEC approved, OASIS standard that defines a set of best practices for building and consuming RESTful APIs. It helps you focus on your business logic while building RESTful APIs without having to worry about the various approaches to define request and response headers, status codes, HTTP methods, URL conventions, media types, payload formats, query options, etc.

Oracle PL/SQL

It is a powerful, yet straightforward database programming language. It is easy to both write and read, and comes packed with lots of out-of-the-box optimizations and security features.

SQL

SQL is designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).