Digital Product Development

DevTeam.Space is a full-service digital product development company. We’ve been in software development since 2016 and have built a vetted community of 1200+ expert developers and 60+ dev teams over this time. We’ve helped more than 300 businesses bring their digital product ideas to life and know how to build a great software solution quickly and cost-effectively.

Digital Product Development Services We Provide

1. Digital Product Architecture
2. Web App Development
3. Mobile App Development
4. Enterprise Custom Application Development
5. Cloud Integration

Have an app project in mind? Reach out to us via this short specification form and get a complimentary call from one of our tech account managers.

Top Software Development Tools We Use

We at DevTeam.Space have deep expertise in a comprehensive array of development tools and technologies. The top ones include:

Mobile Development

• Flutter
• React Native
• Swift
• Kotlin
• Android Studio

Web Development

• Java
• JavaScript
• PHP
• CSS
• React
• Laravel
• Django
• .NET
• ASP.NET
• Angular JS
• Vue

Databases

• MongoDB
• PostgreSQL
• MySQL
• Microsoft SQL

Cloud

• AWS
• Microsoft Azure
• Google Cloud

Machine Learning

• Keras
• TensorFlow
• PyTorch

The choice of tech stack will depend on your particular project and its requirements. Meanwhile, you can read about some of the top technologies our developers like to use.

Android Studio

Android Studio is the official Integrated Development Environment (IDE) for developing Android apps. It contains tools for development, debugging, and testing and provides an intelligent code editor and app templates. All this encourages software engineers to develop apps faster and easier. Developers appreciate Android Studio for many features, some of which are:

1. Its code editor provides code completion for a number of programming languages, including Kotlin, Java, and C/C++.

2. Used with Jetpack Compose, Android’s toolkit for building native UIs, Android Studio provides for creating dynamic layouts. They can be previewed on any screen sizes, which simplifies and speeds up UI development for the Android OS.

3. Android Studio offers Android Emulator, a tool to test an app on a variety of devices. It can be anything from phones and tablets to wearables, Chrome OS devices, foldables, and more.

Django

Django is a high-level Python web framework. One of the reasons our developers like to leverage this tool is that it allows them to build web apps with less code. This, in turn, results in more rapid app development. Here’re some other features that make Django a preferred option for many web developers:

1. The creators of Django meant to design a framework that would make web development easy. Therefore, it comes with tons of extras programmers can use to handle common web development tasks. For example, Django provides out-of-the-box features for user authentication, content administration, site maps, and many more tasks.

2. Django offers an impressive array of security features. These include cross-site scripting (XSS) protection, cross-site request forgery (CSRF) protection, SQL injection protection, SSL/HTTPS support, and more. Detailed information is provided in their security overview.

3. Django is believed to be incredibly versatile. It’s used by such sites as Mozilla, Instagram, Pinterest, and National Geographic, among others. Developers can harness the potential of Django to build all sorts of digital products, from content management systems and social networks to scientific computing services.

Keras

Keras is an open-source high-level API written in Python. It was designed by Google to implement neural networks and provides an interface for machine-learning tasks with particular focus on deep learning. Keras has multiple outstanding features, some of which are as follows:

1. Keras is said to be designed for humans, not machines. Thus, it offers consistent and simple APIs and brings to the minimum the number of user actions required for common use cases.

2. Machine learning practitioners who choose Keras can enjoy the benefit of a smaller and more readable codebase. Models can be run on any platform like server, mobile, browser, or embedded, thanks to the components from TensorFlow and PyTorch.

3. Keras is easy to learn and use. It’s perfect for building customizable models and shows outstanding debugging speeds. Data scientists also praise it for the ease of knowledge transfer between dev team members.

Thinking of building a great digital product? DevTeam.Space will assist you along your entire digital transformation journey, from concept proving to prototyping and creating an actual solution to launching and beyond. To learn more, contact us via the button below.