We use Angular (older version is referred to as AngularJS or Angular.js) to develop complex enterprise front-end solutions. It is well suited to be a backbone of a complex Mobile and Desktop that requires meeting narrow guidelines as well as enlisting a big team of engineers.
We pick React (often referred to as React.js or ReactJS) to build a wide variety of user interfaces, especially large single-page applications. React provides us with a great environment for fast development as well as efficient testing of individual components. Additional Redux state container makes the code more intuitive and protects it from misuse by other developers. Projects built on React are also highly indexable by the search engines.
We utilize Vue.js to build complex and performant apps using the framework’s flexibility. Vue.js allows us to create independent components which speed up the development process. Thus we are able to produce an MVP quickly and abide by strict deadlines. We also use Vuex library for state management.
This service is a new way of delivering small packages, gifts, and letters. Users create online orders for deliveries from point A to point B, that are fulfilled by verified freelance drivers. Utilising Vue.js allowed us to create a fast and reliable front-end web application on both user and driver sides. Our team also integrated local payment systems and Google Services as well as optimized the app to handle highload.
Our team developed an E-commerce platform, where dealerships, showrooms, and rental companies, as well as car owners, can buy and sell used cars. Our strategy was to use state-of-the-art JS framework Vue.js as a base of the application. For effective crawler indexing, a server-based rendering system was built on Nuxt. UI was based on Vuetify. We also used a Vuex library for caching, debugging, and better code structure. We developed an MVP under strict deadlines using a continuous delivery approach
A user interface for traffic data analysis on certain sections of the roads. Allows generating comparative reports based on data received from motion sensors. Raw data is collected by sensors and is sent directly to the custom front-end of the application, where it is processed and sorted by type into corresponding tables and graphs. An automatic anomaly search system was also implemented. It is able to detect unexpected changes in the flow of traffic and send an alert to the control room.