How many SMS APIs do you know about? Apparently there are a ton of them, as you can see from the list below! Hope this helps in your app development.
(Also for Australia, UK, NZ) BurstSMS web API allows you to build apps that can send and receive SMS. Use standard web languages to build applications that speak to global SMS carriers. No need to worry about complex SMPP servers or hosting SMS servers. Just send us your messages using our clean clear API calls and we will deliver…
This post is brought to you in part by Geeklist
, a vibrant platform for geeks to discover, connect and share the great work they have done. Check out the upcoming ‘Hack for Good’
global mobile hackathon this coming June 28th – 30th.
We love hackathons! We love seeing what developers can do with APIs. Just look at this
, and this
! However with hackathons running almost every day, it’s easy to run out of app ideas. What if your app was already created in some hackathon that you…
There has been a lot of buzz around Face Recognition since Google Glass
was announced. We believe that face recognition will open up a ton of possibilities in how we interact not just with each other, but with objects as well – whether it’s with Glass or not.
To help you in your journey of exploring face recognition, we have below a long list of face detection and recognition APIs that you can use for your applications. Enjoy!
Stephen here from Lambda Labs. For sample code and a graphical demo, check out…
After the successful launch of Unirest
, an open source lightweight http client library, we received a lot of requests for a C# .NET port on Windows Desktop and Windows 8. Even before we got to work, we’ve received contributions from the open source community who ported Unirest to .NET.
This tutorial will show you how to use the Windows 8 (RT) port of Unirest
in your application (We will follow this up with the Windows Desktop port
in a later post, but it will follow pretty much the same steps). Let’s get started!
NOTE: We will be updating this…
After we posted the list of NLP
, Sentiment Analysis
, and Machine Learning
APIs a while ago, we noticed that some API descriptions require a little bit of digging into, to fully appreciate what these APIs can do. Here’s an example:
Text analysis API including wordnet synsets,relation extraction,named entity recognition and classification,lemmatization,part of speech tagging,tokenization, and semantic role labeling.
If you’re not familiar with these words, you could totally miss the features that this API
is capable of.
To help with that, we have listed below an explanation to some of these words in the NLP/Machine Learning context; as…
This post is intended to help data scientists and engineers who, in some capacity, have implemented routines/algorithms/data that does a specialized function (e.g. machine learning) using a dynamically typed language, such as Python. The goal is to web-enable these routines/algorithms using an application programming interface (API).
Exposing these functions/data as an API allows for:
Easier, faster, and consistent sharing of functionality/data that could further progress the research. A good example of this is the Materials Project from the Lawrence Berkeley National Laboratory. They deemed it necessary for the scientific community to have access to their data, hence exposing it as
Image credit: https://flic.kr/p/2nmAe
Into APIs now, Yoda
In this short tutorial we will use Python in our Mac Terminal
to consume one of the Machine Learning APIs in this list
. Let’s pick DuckDuckGo
DuckDuckGo lets us define people, places, things, words, and concepts. It also provides a list of related topics. This is very useful if you want to get some context on a certain text.
Although we’re picking DuckDuckGo, note that the steps below also applies to the rest of the APIs in the Machine Learning APIs
list, and all Mashape APIs
. That means you can swap in and swap out APIs for…
Provide a better documentation flow
Keep your documentation up-to-date
Answer questions in sites like Quora
Help developers in Stackoverflow
Provide sample responses to your API’s endpoints
Make your API easy to consume – RESTful, etc.
Build relationships with fellow API developers
Allow developers to comment/provide feedback to your APIs
Provide freemium access
Show health statistics of your API
Build client libraries
Craft verbose client library documentation
Blog about your API and its progress
Use other APIs
Provide sample code
Check what fellow APIs in the same category are doing
Provide a test console
“Train” the Face Recognition API, which means uploading a bunch of pictures that will constitute the “database” from which pictures will be recognized.…