Developers today are actively seeking relevant tools and frameworks in order to make their API design and consumption process as easy and efficient as possible. An important part of this process is describing the API in any of the available specification formats. And since each of the API description formats come with their own toolset, the need to be able to convert between different formats is growing rapidly. This is where API Transformer comes into play. It offers a tool called “Convertron” which has helped many users transform their API description files from one format to another. Many popular formats like OpenAPI, RAML, etc. are supported.
Over the years, API Transformer has evolved quite a lot. In particular, the year 2017 saw some important additions to the tool like the newly added support for OpenAPI 3 and WSDL. Many improvements were also made to the existing format parsers in which, without any doubt, the valuable feedback from our amazing users played a vital role. The year has flown away but has left behind some interesting trends and patterns that we plan to share with you today in this blog.
Trends from 2017
For each aspect, two kinds of data will be analyzed. One will take into account all events that occurred irrespective of the users performing these events. However, we have a handful of users who perform thousands of conversions every month. The first data gets largely skewed because of these conversions. So in the second data, to get a better picture, we try to remove this skewed behavior of the data by considering only unique events per user.