We build Python application development services, backend systems, and microservices to help teams deliver reliable, maintainable, and scalable software solutions.
Django Stars developers deliver web applications using Django, Flask, and FastAPI to help create secure, high-performance platforms with clean architecture.
We provide Python API development to help teams implement RESTful APIs, enable third-party integrations, and ensure seamless system interoperability.
Django Stars experts machine learning and AI solutions in Python to help implement predictive models, NLP pipelines, and recommendation systems.
We deliver Python-based data analysis solutions to help build data engineering pipelines, process large datasets, and support analytics-driven decision-making.
Our experts modernize legacy Python systems to help refactor codebases, upgrade technology stacks, and optimize application performance.
We develop Python automation solutions to help streamline processes, implement data scraping, and automate complex workflows efficientl
We provide access to an experienced Python development team to help companies leverage top-tier Python talent for complex engineering challenges.
Django Stars applies Agile delivery practices to help teams benefit from experience gained across hundreds of Python projects, spanning web applications, APIs, data engineering, AI/ML integrations, and automation.
We work across Python frameworks and tools such as Django, Flask, FastAPI, Pandas, and NumPy, as well as ML libraries including TensorFlow, PyTorch, and Hugging Face, to help build robust, future-ready systems.
Our team deliver end-to-end Python services to help guide products from consulting and architecture design through development, QA, deployment, and post-launch support.
We offer flexible cooperation models to help align delivery with your needs, including fixed-price projects, dedicated teams, and staff augmentation
Our experts enable rapid onboarding to help you assemble Python developers or full teams within 2–4 weeks.
Django Stars operates as a globally distributed team to help ensure time-zone alignment, clear communication, and effective cross-border collaboration.
We provide transparent pricing structures to help optimize development costs while maintaining high engineering quality.
Project:
We modernized the IllumiDesk edtech platform to boost scalability and analytics capacity while preserving its core educational delivery capabilities.
Challenge:
The existing Jupyter Notebook–based architecture limited performance, scalability, and enterprise integrations.
Solution:
Django Stars refactored and redesigned the Python backend, rearchitected the system, and introduced advanced content management and analytics tooling.
Result:
A scalable, feature-rich platform with enhanced performance, enterprise integration potential, and improved content delivery and analytics readiness.
Project:
Built a production-ready tax management platform by consolidating Python code and automating complex financial workflows.
Challenge:
The client had fragmented Python work from another vendor and needed a cohesive, scalable platform with automated document handling.
Solution:
Our team unified the existing codebase, implemented OCR for automated filing, streamlined data processing, and enhanced compliance controls using Python services.
Result:
A robust, enterprise-grade tax platform that accelerates tax return preparation, improves data handling, and serves both investors and businesses efficiently.
Project:
Enhanced the Numerade edtech platform’s performance and implemented scalable Python-based content workflows.
Challenge:
The platform faced performance bottlenecks and needed flexible tooling for video teaser distribution and SEO optimization.
Solution:
Our Python experts extended the backend team, optimized performance for search ranking, and built automated teaser video production with APIs and scalable services.
Result:
Improved SEO performance, faster backend operations, and a new automated content distribution mechanism that supports marketing scalability.
We analyze business requirements and technical constraints to define Python-based solutions aligned with product goals and scalability needs.
Our architects design Python system architecture to ensure clean code structure, performance efficiency, and long-term maintainability.
We develop Python applications using Agile practices to deliver incremental functionality, rapid iterations, and continuous validation.
Our QA engineers test Python codebases to ensure reliability, security, and consistent performance across environments.
We deploy Python applications using proven DevOps practices to ensure stable releases and smooth production rollout.
Django Stars provides ongoing support to maintain Python systems, apply updates, and scale applications as usage grows.
– Django
– Flask
– FastAPI
– Pandas
– NumPy
– SciPy
– TensorFlow
– PyTorch
– Poetry
– PIP
– Conda
– Flake8
– Black
– Mypy
– Pylint
– Docker
– Kubernetes
We provide a fixed-price engagement model to help deliver clearly scoped Python projects with predictable timelines and controlled budgets.
Django Stars assembles dedicated Python development teams to help ensure consistent delivery, deep product ownership, and long-term technical alignment.
Our team enables staff augmentation to help strengthen in-house teams with experienced Python engineers and scale development capacity on demand.
Our portfolio includes SaaS products, FinTech platforms, edtech systems, and AI-driven applications delivered with Python:
Nimans
We deliver Python-based e-commerce and backend solutions to help Nimans streamline wholesale operations and system integrations.
IllumiDesk
We develop scalable Python platforms to help IllumiDesk expand its learning management system and analytics capabilities
Repositax
We implement Python-driven automation and data processing to help Repositax optimize tax management and compliance workflows.
Numerade
We enhance Python backend services and automation to help Numerade scale content delivery and SEO-focused workflows.
