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FastAPI Development Services

  • 12+ FastAPI services
  • 20+ Python engineers
  • < 50ms avg response time

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Key facts: Pharos Production uses FastAPI as the default Python framework for new API projects and AI backends. Async-first architecture with automatic OpenAPI documentation. 12+ FastAPI services in production serving AI inference, webhooks and real-time data. Last reviewed: June 2026. Editorial policy.

What is FastAPI development?

FastAPI is a modern, high-performance Python web framework for building APIs, designed around async/await, automatic OpenAPI documentation and Pydantic data validation. FastAPI delivers performance comparable to Node.js and Go for I/O-bound workloads while keeping Python developer productivity. It powers APIs at Microsoft, Uber, Netflix and Explosion AI. FastAPI development includes REST and GraphQL APIs, ML model serving endpoints, real-time WebSocket servers, microservices, data ingestion pipelines and AI backend services. The framework provides automatic interactive API docs (Swagger UI, ReDoc), dependency injection, OAuth2/JWT authentication and type-safe request/response validation with Pydantic v2.

What we build with FastAPI Development

AI and ML model serving

Async inference endpoints for PyTorch, TensorFlow and Hugging Face models with batched prediction, streaming responses, model versioning and GPU resource management.

High-throughput microservices

Async API services handling 10K+ concurrent requests with sub-10ms latency, gRPC interop, message queue consumers (Kafka, RabbitMQ) and distributed tracing.

Real-time data APIs

WebSocket servers for live data feeds, Server-Sent Events for dashboard updates, streaming API responses and real-time notification backends with async I/O.

Data platform backends

API layers for data lakes, feature stores, analytics platforms and BI tools with async database access, query caching and pagination for large datasets.

FinTech API services

Payment processing APIs, KYC verification endpoints, transaction monitoring services and regulatory reporting APIs with strict input validation via Pydantic schemas.

Developer API products

Public-facing APIs with auto-generated documentation, API key management, rate limiting, usage metering and SDK generation from OpenAPI specifications.

FastAPI vs Django REST Framework for Python APIs

Factor FastAPI Django REST Framework
Performance Async, 3-5x faster throughput for I/O workloads Synchronous by default, moderate throughput
Documentation Auto-generated Swagger UI and ReDoc from code Manual or drf-spectacular for OpenAPI
Validation Pydantic v2: fast, type-safe, auto-coercion DRF serializers: verbose but powerful
ORM No built-in ORM - use SQLAlchemy or Tortoise Django ORM: mature, migrations, admin
Admin panel No admin panel included Django admin: auto-generated, production-ready
Learning curve Gentle: Python type hints drive everything Moderate: Django conventions + DRF serializers
Ecosystem Growing fast, 75K+ GitHub stars Mature: 28K+ stars, 11K+ Django packages

Pharos Production recommends FastAPI for new API-first projects, ML serving endpoints, async-heavy workloads and microservices where throughput matters. Django REST Framework suits projects that need Django ORM, admin panel, built-in auth and the mature Django ecosystem.

Limitations: FastAPI lacks built-in ORM, admin panel, migrations, form handling and template rendering - you must assemble these from third-party packages. The async ecosystem in Python is still maturing - some database drivers and libraries remain synchronous. For full-stack web applications with admin UIs and server-rendered pages, Django is more productive. FastAPI projects require more architectural decisions upfront compared to Django batteries-included approach.

FastAPI Development Benchmark 2026

Proprietary research based on 15+ FastAPI projects delivered by Pharos Production since 2021. Dataset covers ML serving APIs, FinTech microservices, real-time data backends and developer API products. Methodology (Pharos Verified Delivery): aggregated delivery metrics with production APM monitoring and load testing data. Full report available on request.

7 weeks Average time to MVP for FastAPI microservices
< 10ms p95 API response latency under production load
10K+ Concurrent requests per service instance
$20K-$180K+ Project cost range depending on scope
100% Auto-generated API documentation coverage
15+ FastAPI projects delivered since 2021

Pharos Production - Get your FastAPI project estimate in 48h. Share your API requirements - microservices, real-time backend, ML serving or data platform - and our FastAPI team will deliver a detailed estimate with architecture recommendations. Get a project estimate.

Key takeaways
  • FastAPI is the fastest-growing Python web framework with 75K+ GitHub stars and adoption by Microsoft, Uber, Netflix and Explosion AI.
  • Pydantic v2 (Rust-powered) validates request data 5-50x faster than Pydantic v1, with automatic JSON Schema generation for API documentation.
  • FastAPI async performance matches Node.js for I/O-bound workloads while keeping Python ecosystem access for ML, data science and automation.
  • Pharos Production has delivered 15+ FastAPI projects across AI backends, FinTech APIs and high-throughput microservices since 2021.
  • A FastAPI microservices MVP starts from $20,000-$45,000 and takes 6-10 weeks depending on API complexity and integration requirements.
Limitations and considerations
  • FastAPI provides no ORM, admin panel, migrations or template engine - every project requires assembling 5-10 third-party packages (SQLAlchemy, Alembic, authlib, etc.) before you can write business logic, adding 2-3 weeks of boilerplate setup.
  • Python async ecosystem is incomplete - many popular libraries (some database drivers, file I/O, third-party SDKs) remain synchronous, forcing developers to use run_in_executor() wrappers that negate async performance benefits.
  • FastAPI dependency injection is runtime-resolved, not compile-time checked - circular dependencies, missing providers and type mismatches only surface when the endpoint is called, making large applications harder to refactor safely.
  • Auto-generated API documentation from Pydantic models can produce misleading schemas when models use complex inheritance, unions or generic types - developers must manually verify that Swagger UI accurately represents the actual API behavior.

Frequently asked questions

Last updated:

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    FastAPI is 3-5x faster for I/O-bound workloads, generates API documentation automatically from code and validates data with Pydantic type hints. Choose FastAPI for API-first microservices.

    Choose Django when you need ORM, admin panel and full-stack features.

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    Yes. Microsoft, Uber, Netflix and Explosion AI use FastAPI in production.

    The framework is stable, well-documented and backed by a growing ecosystem. We have run FastAPI services handling 50K+ requests per minute for over 3 years.

  • Copy link Copies a direct link to this answer to your clipboard.

    FastAPI works with SQLAlchemy (most popular), Tortoise ORM or raw async drivers (asyncpg for PostgreSQL). We use SQLAlchemy 2.0 with async sessions for new projects, paired with Alembic for database migrations.

    This gives you ORM power without Django coupling.

  • Copy link Copies a direct link to this answer to your clipboard.

    Yes. FastAPI async architecture is ideal for ML serving - it handles concurrent inference requests without blocking while models process on GPU.

    We combine FastAPI with PyTorch, TensorFlow Serving or Triton for production ML endpoints with batched prediction and model versioning.

  • Copy link Copies a direct link to this answer to your clipboard.

    API microservice MVPs start from $20,000-$45,000. AI/ML serving platforms range from $40,000 to $120,000.

    Full data platform backends cost $60,000 to $180,000+. We provide detailed estimates within 48 hours.

Reviews

Independent reviews from Clutch, GoodFirms and Google - verified client feedback on our software projects

Based on 11 verified client reviews

5 out of 5 stars
AI

Reliable delivery, clear communication, and consistent execution.

Erik Ploof
5 out of 5 stars
Web3 & Blockchain

Delivered secure decentralized infrastructure with strong technical expertise and collaborative approach.

Oliver Esteve
5 out of 5 stars
Social

Pharos Production Inc. helped the client achieve over 10,000 downloads in the first three months and a 35% increase in repeat orders. Moreover, the team provided excellent project management, met all deadlines, and responded quickly to all requests for changes. Overall, it was a smooth experience.

Melanie Tran
5 out of 5 stars
Web3 & Blockchain

Seamless integration of blockchain modules into our architecture with structured communication.

Nick Chiles
5 out of 5 stars
Software Development

Delivered blockchain platform with strong UI and trading features along with security audits.

Artur Patyk
5 out of 5 stars
Software Development

Demonstrated strong blockchain and gaming development expertise.

Evan Fisher
5 out of 5 stars
AI

Delivered a simple and efficient solution despite technical complexity.

Troy Gessel
5 out of 5 stars
Web3 & Blockchain

Pharos Production Inc.'s efforts resulted in a 40% increase in transaction processing efficiency, a 30% improvement in blockchain integration speeds, and the mitigation of all critical security risks. The team was transparent, proactive, and technically proficient.

Max Krupyshev
5 out of 5 stars
Web3 & Blockchain

Delivered stable infrastructure with strong technical adaptation and reliability.

Valerie Korde
5 out of 5 stars
AI

Aligned with manufacturing constraints and workflows.

Brian Hess
5 out of 5 stars
Software Development

Built Android app with QR-based payments and strong execution speed.

Eden E.

Choose your cooperation model

Suitable for the project test
MVP

Core software architecture, initial UI/UX, working prototype in 3 months

$11,000 - $26,000
Popular choice
Suitable in 9 out of 10 cases
Full-fledged Production

Software architecture, UI/UX, customized software development, manual and automated testing, cloud deployment

$26,000 - $50,000
Turnkey development
Full-cycle Development

Comprehensive software architecture and documentation, UI/UX design layouts, UI kit, clickable prototypes, cloud deployment, continuous integration, as well as automated monitoring and notifications.

$45,000 - $75,000

Prices vary based on project scope, complexity, timeline and requirements. Contact us for a personalized estimate.

An approach to the development cycle

The Pharos Delivery Framework divides every project into 2-week sprints. After each sprint there is a retrospective of the work done, planning for the next sprint, a report of the work done and a plan for the next sprint. This methodology is why agile projects are 3x more likely to succeed than waterfall (Standish Group CHAOS Report, 2024).
  1. Team Assembly

    Our company starts and assembles an entire project specialists with the perfect blend of skills and experience to start the work.

  2. MVP

    We’ll design, build, and launch your MVP, ensuring it meets the core requirements of your software solution.

  3. Production

    We’ll create a complete software solution that is custom-made to meet your exact specifications.

  4. Ongoing

    Continuous Support

    Our company will be right there with you, keeping your software solution running smoothly, fixing issues, and rolling out updates.

Trusted & Certified

Partnerships & Awards

Recognized on Clutch, GoodFirms and The Manifest for software engineering excellence

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17+ industry awards
Dmytro Nasyrov, Founder and CTO at Pharos Production
Dmytro Nasyrov Founder & CTO Let’s work together!

Build with FastAPI Development

90+ engineers ready to deliver your FastAPI Development project on time and within budget

Your contact details
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We typically reply within 1 business day

What happens next?

  1. Contact us

    Contact us today to discuss your project. We’re ready to review your request promptly and guide you on the best next steps for collaboration

    Same day
  2. NDA

    We’re committed to keeping your information confidential, so we’ll sign a Non-Disclosure Agreement

    1 day
  3. Plan the Goals

    After we chat about your goals and needs, we’ll craft a comprehensive proposal detailing the project scope, team, timeline and budget

    3-5 days
  4. Finalize the Details

    Let’s connect on Google Meet to go through the proposal and confirm all the details together!

    1-2 days
  5. Sign the Contract

    As soon as the contract is signed, our dedicated team will jump into action on your project!

    Same day

Our offices

Headquarters in Las Vegas, Nevada. Engineering office in Kyiv, Ukraine.

Las Vegas, United States

Headquarters PST (UTC-8)
5348 Vegas Dr, Las Vegas, Nevada 89108, United States

Kyiv, Ukraine

Engineering office EET (UTC+2)
44-B Eugene Konovalets Str. Suite 201, Kyiv 01133, Ukraine