Dandelion vs Shields.io

Overview

Shields.io

Stacks65

Followers71

Votes8

GitHub Stars25.6K

Forks5.6K

Dandelion

Stacks5

Followers10

Votes0

GitHub Stars36

Forks15

Shields.io vs Dandelion: What are the differences?

Developers describe Shields.io as "GitHub badges as a service". Legible & concise status badges for third-party codebase services. On the other hand, Dandelion is detailed as "Semantic Text Analytics as a service". It is a semantic Text Analytics API. From text to actionable data, extract meaning from unstructured text and put it in context with a simple API.

Shields.io and Dandelion can be categorized as "API" tools.

Some of the features offered by Shields.io are:

Have your own GitHub badges
Visual consistency
Look good on high-res displays

On the other hand, Dandelion provides the following key features:

ENTITY EXTRACTION
SENTIMENT ANALYSIS
ARTICLE EXTRACTION

Shields.io and Dandelion are both open source tools. Shields.io with 9.1K GitHub stars and 2.16K forks on GitHub appears to be more popular than Dandelion with 24 GitHub stars and 11 GitHub forks.

🔥 Trending in API Tools on StackShare

Postman

API Tools

Only complete API development environment

Try it View Docs Alternatives

Try

82.5k

Detailed Comparison

Shields.io	Dandelion
Legible & concise status badges for third-party codebase services.	It is a semantic Text Analytics API. From text to actionable data, extract meaning from unstructured text and put it in context with a simple API.
Have your own GitHub badges;Visual consistency;Look good on high-res displays; SVG;Open source	ENTITY EXTRACTION; SENTIMENT ANALYSIS; ARTICLE EXTRACTION; CLOUD BASED SAAS
Statistics
GitHub Stars 25.6K	GitHub Stars 36
GitHub Forks 5.6K	GitHub Forks 15
Stacks 65	Stacks 5
Followers 71	Followers 10
Votes 8	Votes 0
Pros & Cons
Pros 4 Easiest way to create lovely badges 2 Easy & Awesome 1 Chef integration 1 Open source	No community feedback yet
Integrations
No integrations available	Ruby Node.js Python WordPress Virtuozzo

What are some alternatives to Shields.io, Dandelion?

Postman

It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.

Paw

Paw is a full-featured and beautifully designed Mac app that makes interaction with REST services delightful. Either you are an API maker or consumer, Paw helps you build HTTP requests, inspect the server's response and even generate client code.

Karate DSL

Combines API test-automation, mocks and performance-testing into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Besides powerful JSON & XML assertions, you can run tests in parallel for speed - which is critical for HTTP API testing.

Appwrite

Appwrite's open-source platform lets you add Auth, DBs, Functions and Storage to your product and build any application at any scale, own your data, and use your preferred coding languages and tools.

Runscope

Keep tabs on all aspects of your API's performance with uptime monitoring, integration testing, logging and real-time monitoring.

Insomnia REST Client

Insomnia is a powerful REST API Client with cookie management, environment variables, code generation, and authentication for Mac, Window, and Linux.

RAML

RESTful API Modeling Language (RAML) makes it easy to manage the whole API lifecycle from design to sharing. It's concise - you only write what you need to define - and reusable. It is machine readable API design that is actually human friendly.

Apigee

API management, design, analytics, and security are at the heart of modern digital architecture. The Apigee intelligent API platform is a complete solution for moving business to the digital world.

Hoppscotch

It is a free, fast and beautiful API request builder. It helps you create requests faster, saving precious time on development

Falcor

Falcor lets you represent all your remote data sources as a single domain model via a virtual JSON graph. You code the same way no matter where the data is, whether in memory on the client or over the network on the server.