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Core Engineering Frameworks

Our Framework Ecosystem for Product Innovation

We work with a mix of widely adopted and niche technologies that power on-demand products for enterprise priorities.

Engineering Frameworks for Product Innovation

Our Strategic Framework Selection Process

We choose software development frameworks that support high-stakes digital transformations and align with fast-growth enterprise needs – accelerating time-to-market, lowering run-cost, and enabling developers to build without friction.

How We Choose Frameworks for Maximum Impact

At Radixweb, we work with web and app development frameworks that deliver hyper-scalable architectures, AI-native capabilities, and zero-trust security to support distributed teams and real-time operations, all the while minimizing technical debt.

We religiously evaluate frameworks against modern enterprise benchmarks, prioritizing long-term cost impact, talent availability, and ecosystem maturity. Only stacks that meet these standards with active innovation roadmaps make the cut.

Framework Decision-Making Approach

List of Development Frameworks We Work with

Selected for their impact on speed, reliability, and ROI, these frameworks form the backbone of our product engineering solutions – from prototypes and UIs to data pipelines and production AI models.

Angular Framework

Angular

Angular keeps our enterprise frontends organized and powerful. We use it for big projects where structure matters, like complex admin panels, because it comes with built-in tools for testing and security.

Features We Leverage:

  • Enterprise-scale UI structure
  • Modules over monolith frontends
  • Type safety reduces errors
  • Easy testing and maintenance
React Framework

React

React.js is our go-to framework for interactive, neat UIs that customers actually enjoy using. We pick it because reusable components make code updates easy, and it scales beautifully for enterprise apps.

Features We Leverage:

  • Reusable components save time
  • Strong tooling, rapid UI delivery
  • Fast updates with stable renders
  • Strong community support
Vue.js Framework

Vue.js

Since Vue.js is very lightweight and flexible, it lets us start small and scale up without rewriting everything. Vue has an easy learning curve, so we pick it for clients who need quick prototypes and keep projects fast.

Features We Leverage:

  • Readable user interface builds
  • Clean components, easy extensions
  • Stable tooling ecosystem
  • Fast feature iterations
Flutter Framework

Flutter

Flutter lets our team build beautiful iOS and Android mobile apps from one codebase, which saves almost 50% of the work. We go with it for its smooth animations and native feel, perfect for cross-platform apps.

Features We Leverage:

  • Shared code, lower maintenance
  • Fast builds with native performance
  • Customizable widgets for brand consistency
  • Multi-device support at scale
React Native Framework

React Native

Using React Native, we create cross-platform mobile apps that feel native and drive top-notch UX. It cuts costs and speeds up launches, which is huge for businesses wanting apps yesterday.

Features We Leverage:

  • Unified mobile and web logic
  • Reusable internal UI kits
  • Predictable releases, fewer handoffs
  • App-store ready builds
Django Framework

Django

Django has everything for our software developers to build high-quality web apps, from security to admin dashboards. We love building secure, scalable platforms fast with it, perfect for data-driven projects.

Features We Leverage:

  • ORM handles complex queries easily
  • Built-in admin saves time
  • Robust security features standard
  • Scalable from MVP to enterprise
Express JS Framework

Express.js

We frequently use Express.js as it keeps our Node backends simple and speedy with minimal setup. It helps us create flexible APIs that scale, are easy to tweak as needed, and handle real-world traffic.

Features We Leverage:

  • Minimalist design maximizes flexibility
  • Middleware chain simplifies logic
  • JSON handling built-in
  • Huge plugin ecosystem available
.Net Core Framework

.NET Core

.NET (including .NET Core) gives our team a rock-solid foundation for building multi-platform backends. We like working with it because it integrates easily with cloud environments and scales predictably.

Features We Leverage:

  • Cross-platform deployment freedom
  • Built-in dependency injection
  • Stable API runtime
  • Predictable deployments
Next.js Framework

Next.js

Next.js takes our React builds to the next level, as it makes websites load lightning-fast with smart server-side tricks. We love how it handles SEO for high-performance sites that rank well and convert visitors.

Features We Leverage:

  • Super-fast loads with smart rendering
  • SEO handled without extra work
  • Image optimization boosts load times
  • Vercel integration enables instant scaling
Laravel Framework

Laravel

Laravel makes PHP development elegant and fun with smart tools. We use it for fast app launches and easy maintenance. Its ecosystem saves hours and lets us deliver secure, beautiful solutions that scale effortlessly.

Features We Leverage:

  • Eloquent makes databases fun
  • Artisan commands save hours
  • Background jobs handled smoothly
  • Quick authentication setup
Nest JS Framework

NestJS

Our developers lean on NestJS to bring order to Node.js projects with a clean, modular design. We prefer it because teams can build without hassle. It’s perfect for APIs that handle high traffic.

Features We Leverage:

  • Modules keep code organized
  • Decorators make patterns stick
  • Testing tools built right in
  • Microservices support native performance
SwiftUI Framework

SwiftUI

SwiftUI makes iOS app development a joy for our Apple specialists. It’s simple, visual, and adaptive to any device. We frequently chooses it to create intuitive apps with less code and faster previews.

Features We Leverage:

  • Simple code builds beautiful UIs
  • Live previews save time
  • Works great across Apple gear
  • Accessibility built right in
Fast API Framework

FastAPI

FastAPI is the framework we use to create blazing-fast APIs in Python, with easy docs and validation that come free. Our dev team uses it for data-heavy services because it handles massive loads effortlessly, from AI backends to analytics.

Features We Leverage:

  • Async-first design for concurrency
  • Auto-generated OpenAPI and docs
  • Lightweight, fits containerized pipelines
  • Easy dependency injection and testing
Spring Boot Framework

Spring Boot

We use Spring Boot to simplify Java enterprise apps with auto-setup. It’s our primary choice for mission-critical systems and high-stakes enterprise software that need to be well-architected and scalable.

Features We Leverage:

  • Auto-setup cuts busywork
  • Servers embed for easy deploys
  • Security ready for enterprises
  • Monitors health automatically
Ruby on Rails Framework

Ruby on Rails

Rails is our favorite for developing full-featured web apps super quickly. We love how it follows smart conventions that keep code clean and fast, perfect for startups scaling to enterprise without rewrite nightmares.

Features We Leverage:

  • Rapid prototype builds
  • Built-in user management
  • Reliable update cycles
  • Mature plugin ecosystem
Rxweb.io Framework

Rxweb.io

RxWeb.io is our in-house built open-source framework for Angular and .NET Core-based products. Our team extensively works with it to build enterprise apps that need domain-driven design and microservices.

  • In-built CLI for rapid scaffolding
  • Native aut and validation module
  • Supports serverless architecture
  • Clean separation of concerns
Tensor Flow Framework

TensorFlow

TensorFlow remains our default ML framework. We choose it to build ML pipelines and optimized inference on heterogeneous hardware. It helps us keep model exports stable and deployments consistent without rebuilding core training logic.

Features We Leverage:

  • Production tooling for training and serving
  • Optimized for TPU/accelerator hardware
  • Strong model export and graph tooling
  • Widely used in regulated deployments
PyTorch Framework

PyTorch

At the heart of our AI experiments is PyTorch. As a research-to-production ML framework with strong ecosystem and model-ops support, we use it for prototyping and innovation. Great for enterprises pushing AI boundaries with confidence.

Features We Leverage:

  • Eager execution for development velocity
  • Large community and model hub
  • Easy conversion to TorchScript for serving
  • Broad hardware and cloud support
Hugging Face Transformer Models

Hugging Face Transformer

AI engineers at Radixweb adore HFT for making cutting-edge AI models super accessible and ready to use right away. It’s perfect for businesses wanting to build AI without years of training from scratch and ship updates in a controlled, dependable pace.

Features We Leverage:

  • Thousands of ready models instantly
  • AI feature prototyping
  • Language model fine-tuning
  • Community keeps it free and up-to-date
Snowflake Framework

Snowflake

Snowflake makes data warehousing effortless and cost-smart for us. We love its flexibility as engineers can scale compute and share data securely. It also helps us maintain clear data access paths for stakeholders and keep cost traceable by workload.

Features We Leverage:

  • Managed compute separation for workloads
  • Near-zero ops for warehousing
  • Secure data sharing and role controls
  • Strong performance for analytics workloads
Dbt Framework

dbt

We use dbt, a data transformation framework, for SQL-first data engineering and analytics engineering. It’s a game-changer for building trustworthy analytics pipelines that fuel smarter business decisions without the usual headaches.

Features We Leverage:

  • SQL-native transformations with versioning
  • Built-in testing and documentation
  • Promotes analytics engineering best practices
  • Integrates with CI and warehouses
TezJS Framework

TezJS

TezJS is our pick for lightning-fast Jamstack sites powered by Vue.js. It packs everything needed for high-performance web apps, delivers fast load times that keep users engaged, and boosts SEO.

Features We Leverage:

  • Fastest Jamstack with Vue.js core
  • Instant setup, zero config hassles
  • SEO-friendly for better rankings
  • Works well with content workflows
Apache Spark Framework

Apache Spark

Spark crunches massive datasets at speed for our big data needs. Developers at Radixweb use it to process insights in minutes from huge data lakes without the hassle and deliver consistent results that businesses can trust. It's our top pick for analytics.

Features We Leverage:

  • Unified batch and micro-batch APIs.
  • SQL-first data transformation experience.
  • Scales across cloud and on-prem clusters.
  • Native connectors to major stores.
Apache Kafka Framework

Apache Kafka

We chose Kafka because it efficiently handles data streams across multiple projects without failing under load. It connects our apps directly and moves data from sources to analytics without custom code. For us, it cuts setup time and keeps everything running day-to-day.

Features We Leverage:

  • Streams data in real-time reliably
  • Handles massive volumes effortlessly
  • Connects systems without complexity
  • Enables instant business insights
Apache Airflow Framework

Apache Airflow

Apache Airflow fits our needs for managing data jobs that repeat daily. We picked it after trying others because our engineers can define workflows in code and monitor them from one dashboard. Works well for us handling daily reports and batch jobs across teams.

Features We Leverage:

  • Schedules workflows like clockwork
  • Monitors pipelines visually
  • Handles dependencies smartly
  • Scales with more servers
JAX Framework

JAX

Our developers use JAX when product and AI experiments need faster iteration cycles and reliable math computation behind the scenes. It helps our team test models efficiently, keep results consistent, and support large-scale learning projects without rebuilding the workflow.

Features We Leverage:

  • Faster model trials
  • Reliable compute base
  • Auto-differentiates complex functions
  • Accelerates array operation
Scikit-learn Framework

scikit-learn

We work with scikit-learn when enterprises need applied machine learning in business data. Our engineers train models with it for predictions and clustering without extra setup. It handles standard tasks like classification and saves time on our data science consulting projects.

Features We Leverage:

  • Simple model training API
  • Built-in preprocessing steps
  • Cross-validation included
  • Easy model updates
Choose Your Framework with Us

Not sure which framework you need? Tell us your goals and we'll recommend the ideal stack. Or let our team audit your specs for a custom pick.

Radixweb

Radixweb is a global product engineering partner delivering AI, Data, and Cloud-driven software solutions. With 25+ years of expertise in custom software, product engineering, modernization, and mobile apps, we help businesses innovate and scale.

With offices in the USA and India, we serve clients across North America, Europe, the Middle East, and Asia Pacific in healthcare, fintech, HRtech, manufacturing, and legal industries.

Our Locations
MoroccoRue Saint Savin, Ali residence, la Gironde, Casablanca, Morocco
United States6136 Frisco Square Blvd Suite 400, Frisco, TX 75034 United States
IndiaEkyarth, B/H Nirma University, Chharodi, Ahmedabad – 382481 India
United States17510 Pioneer Boulevard Artesia, California 90701 United States
Canada123 Everhollow street SW, Calgary, Alberta T2Y 0H4, Canada
AustraliaSuite 411, 343 Little Collins St, Melbourne, Vic, 3000 Australia
MoroccoRue Saint Savin, Ali residence, la Gironde, Casablanca, Morocco
United States6136 Frisco Square Blvd Suite 400, Frisco, TX 75034 United States
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