Python Backend Development Services
Build robust, scalable backends with Python's power. From Django web apps to FastAPI microservices and ML-powered systems—we deliver production-ready Python solutions with our 14-day risk-free trial.
Oleg Kalyta
Founder & AI Lead
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Python Development Services
Full-spectrum Python solutions from web backends to data pipelines
Custom Python Backend Development
We build Python backends using Django, FastAPI, or Flask based on what fits your project. Clean architecture, proper testing, and code that's maintainable long after we hand it off.
Django Development Services
Full-featured web applications with Django. Admin panels, authentication, ORM, and REST APIs out of the box. Perfect for content platforms, marketplaces, and internal tools.
FastAPI Development Services
High-performance async APIs with FastAPI. Type hints, automatic OpenAPI docs, and Pydantic validation. Ideal for ML model serving, real-time data APIs, and microservices.
Python API Development
REST and GraphQL APIs built with proper documentation, versioning, and authentication. Django REST Framework, FastAPI, or Flask—whatever serves your needs best.
Data Engineering & ETL Pipelines
Python data pipelines with Pandas, NumPy, and Apache Airflow. Ingest, transform, and serve data at scale. Analytics platforms processing terabytes without breaking a sweat.
ML Backend Development
Production-ready backends for machine learning models. TensorFlow, PyTorch, scikit-learn wrapped in APIs with proper model versioning, A/B testing, and feature stores.
Python Performance Optimization
Profiling, async optimization, caching strategies, and database query tuning. We make slow Python code fast without sacrificing readability.
Python Consulting & Code Audits
Architecture reviews, security audits, and technical consulting. Get expert recommendations on your Python codebase—implement them yourself or hire us.
Why Hire Us for Python Development
Django & FastAPI Specialists
We know when Django's batteries-included approach saves time and when FastAPI's performance makes sense. Plus Flask for microservices. Right tool for the job, always.
Data Engineering Experience
Python's data ecosystem is our wheelhouse. Pandas, NumPy, Airflow workflows—we've built analytics platforms processing terabytes of data daily.
ML Integration Expertise
We bridge the gap between data science and production. Model serving APIs, feature stores, A/B testing infrastructure—making your ML investment actually usable.
Clean, Maintainable Code
Python's readability is a feature we leverage. Type hints, proper documentation, comprehensive tests. Code your team can maintain long after we're gone.
Full-Stack Capability
We build frontends too (React, Next.js), so our Python APIs are designed with real UI requirements in mind. No disconnected backend contractors.
Long-Term Partnership
Most clients stay with us after launch. We maintain, optimize, and add features. Your Python backend grows with your business.
Why Choose Python for Your Backend
Python powers Instagram, Spotify, Dropbox, and Reddit. Here's why:
Python's clean syntax and batteries-included philosophy mean faster development cycles. Ship MVPs quickly, iterate based on feedback, and scale when you're ready.
If your backend touches data science, ML, or AI, Python is the obvious choice. The entire ML ecosystem—TensorFlow, PyTorch, scikit-learn—is Python-first.
Django for full-featured web apps, FastAPI for high-performance APIs, Flask for microservices. Mature, well-documented, and production-proven frameworks.
FastAPI delivers Node.js-level performance with Python ergonomics. Automatic OpenAPI docs, type validation, and async support out of the box.
PyPI has 450K+ packages. Database ORMs, authentication libraries, testing frameworks—everything you need exists and is well-maintained.
Python's readability isn't just nice—it's practical. New developers onboard faster, code reviews are more effective, and maintenance costs are lower.
The Tech Stack
Production-tested frameworks, libraries, and tools:
Web Frameworks
Django
FastAPI
Flask
PythonAPIs & REST
Django REST
GraphQL
REST API
gRPCDatabases
PostgreSQL
MongoDB
Redis
MySQLData & ML
Pandas
NumPy
TensorFlow
PyTorchCloud & DevOps
AWS
Docker
Kubernetes
CeleryGet Expert Advice on Your Python Project
Django or FastAPI? Monolith or microservices? Book a free 30-minute consultation with our Python architects. We'll help you make the right technical decisions.
Our Python Development Process
Structured approach that delivers reliable Python applications:
We analyze your requirements, choose the right Python framework (Django vs FastAPI vs Flask), and design the architecture for your specific needs.
- Technical specification
- Architecture design
- Framework recommendation
Development environment, CI/CD pipelines, staging servers, and database setup. Automated from the start so deployments are reliable.
- Cloud infrastructure
- CI/CD pipeline
- Development environment
Two-week sprints with demos. Test-driven development, code reviews, and continuous integration. You see working software regularly.
- Working Python code
- API documentation
- Test suite
Unit tests, integration tests, security scanning. We profile performance and optimize bottlenecks before launch.
- Test coverage report
- Performance analysis
- Security audit
Production deployment with monitoring, logging, and alerting. Ongoing support and maintenance as needed.
- Production deployment
- Monitoring setup
- Documentation
Industry Expertise
Analytics platforms, data pipelines, business intelligence dashboards
ML model serving, recommendation engines, NLP applications, AI-powered products
Trading platforms, risk analysis, payment processing, compliance systems
Patient data analysis, health monitoring, medical imaging, EHR integrations
Product catalogs, order management, inventory systems, recommendation engines
Multi-tenant applications, subscription billing, admin dashboards, API backends
Launch Stories
Healify
AI-powered health tracking platform. Python backend with ML models for health insights, real-time data processing, and secure API integrations.
Breeze
Financial management application with Python data processing. Bank integrations, transaction categorization, and spending analytics.
Rocket League Garage
Gaming platform backend with Python data pipelines. Price analytics, trading algorithms, and market data processing.
Python Development Pricing
Transparent pricing based on project complexity:
MVP / Startup
$10,000 – $25,000
4-8 weeks
Core Python backend for early-stage products.
- Django or FastAPI setup
- Core API endpoints
- Database design
- Authentication system
- Basic deployment
- API documentation
Best for: Startups, MVPs, proof-of-concept
Growth / Scale
$25,000 – $60,000
8-16 weeks
Production-ready Python backend with proper architecture.
- Full API development
- Third-party integrations
- Data pipelines
- Async processing (Celery)
- CI/CD & monitoring
- Security audit
Best for: Growing products, data-intensive applications
Enterprise / ML
Custom quote
Based on scope
Complex Python systems with ML/data requirements.
- ML model integration
- High-scale data pipelines
- Multi-service architecture
- Compliance (HIPAA, SOC2)
- Legacy migration
- Dedicated support
Best for: ML-powered products, large organizations, data platforms
ML/AI integration
High impactMachine learning features add model training, serving infrastructure, and data pipeline complexity.
Data volume
Medium to High impactLarge datasets require optimized pipelines, proper database indexing, and potentially distributed processing.
Integrations
Medium impactEach third-party API (payment, CRM, analytics) requires research, implementation, and error handling.
Compliance
Medium impactHIPAA, SOC2, or other compliance requirements add security measures and documentation overhead.
What Founders Say
What most impressed me about ProductCrafters was their dedication to my project and understanding of our goals. They were very honest and transparent throughout the entire process.
They were flexible, and it was easy to work with them on a day-to-day basis. Their brilliant ideas were critical to the project success.
Out of over 40 applicants, we selected ProductCrafters based on their experience, technical expertise, and cost estimate. The team showed deep technical expertise, a strong work ethic, and honesty.
The team has honest billing practices and creates incredible value for the cost. Working with ProductCrafters has saved us hundreds of thousands of dollars compared to domestic firms.
The quality of their code makes them a valuable partner. They thought holistically about solutions and brought up all-encompassing ideas.
Their insightful advice has maximized the application's performance. We're actually learning things from ProductCrafters that we can adapt and use in other applications.
Customer stories
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Leaders
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FaQ
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Your Python Project Timeline
Free Trial
Test our team risk-freeMVP Ready
Core backend deployedProduction
Full system liveOleg Kalyta
Founder & AI Lead
