Top Python Development Companies, Reviewed by a Python-Savvy Team

Visit any software development company’s site and you’ll probably find “Python development” tucked between other service offerings. Even though Python isn’t their main focus, many of such firms appear in “Top Python Development Companies” rankings. 

And that’s ok. But when people search for “Python development companies,” they expect teams that specialize in the language, not companies that can provide a couple of Python developers or "close enough" developers who learned some Python, but their core expertise is PHP.

As a Python-first team that’s been building with it since 2013, we figured we’d join the conversation, but in a different way.

Instead of another ranked list, we mapped out what Python teams are hired for, and how 10 leading Python development companies (ourselves included) stand out in those areas.

TL;DR: Top Python development companies in USA and farther

Below are ten companies that offer Python development services – and truly live and breathe the language. Each is known for a different strength:

What companies hire Python development companies for 

If you’re looking for a Python partner, it’s probably for one (or more) of the following reasons.

• Add AI or data intelligence. Python was the most-used language on GitHub in 2024, mainly in data-heavy fields like machine learning and data science.
• Modernize legacy systems. Readable, well-supported, and compatible with older stacks (Java, .NET, PHP), Python makes modernization easier. 
• Speed up web and mobile app development. Frameworks like Django and FastAPI help quickly move from prototype to production-grade web and mobile applications. 
• Build cloud-ready architecture. Python integrates with AWS, Google Cloud, and Azure, plus tools like Airflow and Terraform, powering cloud-native systems.
• Run R&D or innovation projects. Python has a rich open-source ecosystem (PyPI grew from 450K to 614K+ packages in 2023 and 2025), ideal for research. 

10 Python development companies in USA and beyond (and what they’re best at)

Over the years, thousands of software development companies have used Python to build web platforms, data pipelines, and AI products. But only a few have made it their core identity. We selected ten Python development companies that did. Each builds most of their work using Python, has verified project results, and has its own niche: some excel at AI and automation, others at MVPs for startups.

Since we know ourselves best, we’ll start with Flyaps.  

Flyaps: Python-focused team for production-grade AI and data-heavy projects

We’re best for companies with AI/ML on their roadmap and products built around big data. Teams like Airbyte and Indeed trust our Python engineers to build, modernize, and scale data-heavy platforms.

➤ Founded: 2013, Ukraine 
➤ Clutch rating: 4.8 (12+ reviews)
➤ Office locations: New York, Hong Kong, Krakow, Dnipro 
➤ Notable clients: Airbyte, Indeed, Rakuten Awards, Yaana Technologies
➤ Industries we know well: Telecom, HR tech, media, retail, aerospace & defense, urban planning, energy 
➤ Core strengths: Build and deploy production-grade AI/ML solutions
➤ Limitations: Small R&D projects or prototypes fall outside our scope of work

Back in 2013, we at Flyaps started out as a small team building web apps with Python. Shortly after, we began ramping up our AI/ML expertise, again, relying on Python. In 2018, our first commercial ML product, CV Compiler, got featured on TechCrunch just weeks after launch.

Today, our 60+ Python engineers work across data, AI, and backend projects. 90% percent hold STEM master’s degrees, and about 20% are pursuing PhDs. As of 2025, they’ve delivered dozens of Python-based scalable solutions for clients like Airbyte, Indeed, and Yaana Technologies. With pre-built GenAI components and over a decade of MLOps experience, our team helps clients ship up to 30% faster.

➤Read also:

Why We’ve Used Python for Data Engineering for 12 Years (And Still Do)

Python is the top choice for data engineering. It powers ETL pipelines, automation, and AI-supported workflows. At Flyaps, we use Python to build scalable data-heavy solutions. See how it works in real-world projects.

Flyaps Product Development Blog Flyaps

Core expertise

Our strength lies at the intersection of data engineering and machine learning. We build and deploy production-grade AI/ML systems using Python’s ecosystem. Example: with Bavovna AI, a defense tech startup, we developed an RNN-powered navigation model, 99.98% accuracy without GPS. We built the MVP in 7 months. Bavovna AI raised $2.7M in seed funding.

We also take on modernization projects. For MediaVillage, a NY-based media publisher, we rebuilt their CMS from scratch with Django. For Yaana Technologies, a US telecom provider, we replaced their desktop legacy system with a web cloud-based platform that went live in just 4 months, helping them acquire such clients like Orange Group.

And sometimes, we’re brought in to help  build entirely new products. For Airbyte, the unicorn startup, we supported custom development of their open-source ELT platform, now used by 40K+ data engineers. For HypeClub, we developed an iOS marketplace where AI helps users generate listings on the fly.

Our clients say we go above and beyond: 

“Their engineers went above and beyond to help us ship our product. We enjoyed working together, and appreciate how adaptive they were to our needs and feedback.” 

Django Stars: Django experts for venture-backed, regulated web products

Django Stars stand out for fast MVPs that become long-lived platforms in regulated spaces like fintech and healthcare, with a visible focus on  long partnerships with startups. ISO–certified, Django Stars is a strong fit if your priority is a Django-based web platform in a regulated context.

➤ Founded: 2008, Ukraine 
➤ Clutch rating: 4.8 (60+ reviews)
➤ Office locations: Wilmington, DE; Kyiv, Ukraine
➤ Notable clients: Molo Finance (digital mortgages), PADI Travel (global dive booking), BillionToOne (genetic testing portal)
➤ Industries they know well: Fintech, travel, logistics, healthcare 
➤ Core strengths: Django-centric web platforms for regulated sectors
➤ Limitations: Less suited for short-term or small MVP projects where long-term support isn’t needed

This web development company was built around their CEO and CTO’s shared passion for Python and the Django framework. At first, they helped startups launch MVPs fast, but soon became known for staying on to scale those products, handling architecture, APIs, DevOps, and product decisions along the way.

Core expertise

The company’s built a strong track record in fintech and other regulated sectors. Their partnership with Molo Finance, the UK’s first fully digital mortgage lender, started with an 8-week MVP for investor readiness and grew into an 8+ years of engagement. It’s a pattern across their portfolio: Django Stars often builds the first version, then scales it into a mature system.

Many of their clients are venture-backed startups that went on to raise over $1B in total funding. Examples include BillionToOne, a YC-backed genetic testing startup that has raised $295M, and PADI Travel, a global dive-travel platform where Django Stars led engineering and design for several years.

Clients say Django Stars stands out for timely delivery and “impressive” communication.

STX next: Enterprise-grade Python engineering at scale 

Best fit for enterprises running complex systems or large-scale transformation programs. With 400+ projects delivered for clients like Mastercard and Volkswagen Bank, STX Next is one of Europe’s largest Python software development houses.

➤ Founded: 2005, Poland 
➤ Clutch rating: 4.7 (99+ reviews)
➤ Office locations: Poznań, Poland; Merida, Mexico; London, UK; Eschborn, Germany; Houston, US
➤ Notable clients: Mastercard, Unity Technologies, Macmillan Education
➤ Industries they know well: Finance, retail, media, education, logistics  
➤ Core strengths: Building and scaling enterprise-grade Python systems with integrated data, cloud, and AI capabilities
➤ Limitations: Less suited for small MVPs or early-stage startups

Founded in 2005 as the Polish branch of a Dutch software development firm, STX Next grew into one of the largest Python-centric engineering houses in Europe: 500+ experts across backend, data, cloud, and product design. 

Core expertise

STX Next focuses on the backbone of enterprise software: backend architectures, data platforms, and automation systems that connect departments and handle millions of users. For companies like Mastercard,  Unity Technologies, and Macmillan Education, they’ve scaled engineering teams, modernized infrastructure, and introduced AI-driven custom solutions.

Projects often involve multiple teams working in parallel – backend, data, design, QA, and DevOps – which lets clients move fast without losing structure or oversight. 

Clients describe STX Next as “methodical”, dependable, and easy to integrate with.

Six Feet Up: Python + AI consultancy “for the greater good”

Best for teams working on complex data, science, or sustainability projects where social impact matters as much as clean code. Six Feet Up combines custom software development with strategic consulting, helping clients like NASA and Capital One design data systems that improve forecasting, transparency, and real-world decision-making. 

➤ Founded: 1999, San Francisco, CA 
➤ Clutch rating: 5.0 (21+ reviews)
➤ Office locations: Fishers, IN
➤ Notable clients: NASA, Capital One, UNEP, Purdue University
➤ Industries they know well: Environmental science, finance, higher education, public sector 
➤ Core strengths: Data-heavy Python development projects and AI systems for scientific, sustainability, and social-good initiatives
➤ Limitations: Smaller team – less suited for high-volume enterprise rollouts or projects needing rapid staff scaling

Founded in 1999 by husband-and-wife team Carol and Calvin Hendryx-Parker, Six Feet Up began as a web hosting company and grew into a mission-driven consultancy. They focus on “Tech for Good”, aiming to complete 100 Impactful Projects™ by 2033 and addressing global issues in science, sustainability, and education.

Core expertise

The company’s work often involves large-scale data pipelines, machine learning, and geo-analytics in projects where technical expertise and public value go hand in hand. Examples include a lightning-strike prediction model that helps meteorologists anticipate severe weather, a forest-fire mapping system using GeoDjango to track fire spread, and NASA’s internal visualization tools for climate research.

Six Feet Up also invests heavily in R&D and community impact: about 30% of company time goes to internal innovation, security improvements, and open-source work. They run IndyPy (Python meetup with over 2,500 members across the US Midwest) and the annual Python Web Conference, and share internal tools like Scaf™, which speeds up project setup and deployment.

Teams describe them as thoughtful, extremely skilled, and “personable”. 

Sunscrapers: AI + data + analytics for investment and healthcare clients

Best for VCs, investment analytics firms, and healthcare companies that live on complex data. Sunscrapers builds software that power deal sourcing, portfolio insights, and clinical data pipelines.

➤ Founded: 2010, Poland 
➤ Clutch rating: 4.9 (32+ reviews)
➤ Office locations: Warsaw, Poland
➤ Notable clients: COTA Healthcare (oncology data pipelines), UBS (data visualization), EdTech Impact (AI content analytics)
➤ Industries they know well: Healthcare, finance, education 
➤ Core strengths: Building data-driven platforms that combine Python, AI, and cloud for regulated domains
➤ Limitations: Smaller team – better suited for specialized data or analytics platforms than for large enterprise transformations or general consumer products.

Founded in 2010 in Warsaw, Sunscrapers carved out a niche in finance and healthcare, helping organizations with sensitive data build platforms that merge data analysis, automation, and usability. Beyond client work, they support the Python and Django community. They organize PyWaw meetups, Django Carrots workshops, and speak regularly at DjangoCon Europe.

Core expertise

Sunscrapers focuses on Python-based data engineering and AI for analytics-heavy products. In healthcare, they helped COTA build ETL pipelines to structure cancer-treatment data for predictive insights. In finance, they’ve built deal-sourcing and due-diligence platforms for private equity firms, automating data aggregation and document classification.

They also offer CTO-as-a-Service for startups without in-house leadership, guiding their technical roadmaps and data architecture.

Clients say that Sunscrapers does “a great job of making themselves easy to work with.”

SoftKraft: Python, AI, and data engineering for fast, scalable product builds 

Best for early-stage teams or growing companies that need both speed and expert engineering. SoftKraft works as a hybrid partner: they build full-fledged software while helping clients validate ideas quickly.

➤ Founded: 2015, Poland 
➤ Clutch rating: 4.9 (21+ reviews)
➤ Office locations: Bielsko-Biała, Poland
➤ Notable clients: Zen Mate, Edgy Labs, Neutopia, CF Engine
➤ Industries they know well: Financial services, real estate, SaaS / tech 
➤ Core strengths: Quick MVP development + data and AI engineering
➤ Limitations: Less suited for massive enterprise rollouts or ultra high-throughput systems

Since 2015, SoftKraft carved out a niche helping startups and mid-size companies prototype quickly and scale without starting over. The company holds ISO 27001 and ISO 22301 certifications for information security and business continuity.

Core expertise

Many of SoftKraft’s collaborations begin with MVPs and grow into full-scale platforms. For Stratify Solutions, a U.S.-based consulting firm, SoftKraft built a Contract Lifecycle Management platform using Python, Django, and OCR-based AI to automate supplier-contract reviews. For Kloopify, a sustainability-focused startup, they developed a SaaS platform to analyze procurement emissions (Scope 3), integrating APIs and data dashboards to track suppliers’ environmental impact.

Clients highlight their project management, describing the collaboration as “fantastic with clear communication.”

Apriorit: Security-first Python engineering services for low-level, AI, and enterprise products

Best fit for cybersecurity, infrastructure, and data-intensive products that need Python expertise paired with Kernel/driver technical skills and a rigorous SDLC.

➤ Founded: 2002, Ukraine 
➤ Clutch rating: 4.9 (42+ reviews)
➤ Office locations: Poznań, Poland; Dnipro, Ukraine
➤ Notable clients: OPSWAT, Strivacity, Heifer Labs
➤ Industries they know well: Cybersecurity, IoT, Fintech, Healthtech
➤ Core strengths: Python for secure backends, data pipelines, AI/ML, systems that include OS internals (drivers, virtualization)
➤ Limitations: Not a fit for ultra-small prototypes with minimal security/compliance needs

Apriorit started in Dnipro in 2002 and has grown to 400+ engineers with a security-first delivery model (ISO-aligned QA, OWASP-driven practices). They pair Python backend development services and data work with deep low-level expertise (drivers, Kernel modules, reverse engineering), which is why they’re often chosen for products that need both high-level features (AI, web, cloud) and OS-level control.

Core expertise

Apriorit builds secure Python platforms and data pipelines, custom backends, microservices, provides legacy modernization services and third-party integrations all delivered under a strict SDLC and QA regimen. They also handle applied AI/ML and GenAI: model selection and fine-tuning, compliant deployment, and post-launch support for regulated domains. 

What sets Apriorit apart is the blend of Python with deep cybersecurity and low-level engineering, which covers threat-level architecture, pen-testing, and long-standing Kernel/driver work that powers endpoint products, device-heavy systems and infrastructure tooling. This mix fits perfectly with products that need to be both cloud-native and have direct interaction with the operating system.

The company’s clients highlight their strong delivery, clean builds, and on-time execution for complex products (e.g., OPSWAT, Strivacity). Clients also say that the company’s product work is “great”.

UVIK: Python augmentation for AI, data, and web products

Suits perfectly fit for teams that want to find senior Python/Django hands fast or get plug-in specialists for AI/NLP features, data platforms, and web backends.

➤ Founded: 2015, Estonia 
➤ Clutch rating: 5.0 (12+ reviews)
➤ Office locations: Tallinn, Estonia
➤ Notable clients: Drakontas, Community Connect Labs
➤ Industries they know well: E-commerce, SaaS / DevTools, Nonprofit, Industrial / IoT
➤ Core strengths: Fast staff augmentation, Python/Django delivery, AI chatbots & NLP, data engineering
➤ Limitations: Oriented to augmentation and execution; full product ownership/strategy typically needs explicit scoping

UVIK positions itself as an AI & data-leaning engineering partner with a core in Python, React, and React Native. Founded in 2015, the company offers team augmentation as the main engagement model, while their services range from custom web development of backends to ML/NLP features development.

Core expertise

UVIK’s bread-and-butter is senior Python/Django engineering for web products and data work: standing up or extending microservices and APIs, modernizing legacy code, and wiring analytics/ETL around product needs. On top of that, they frequently develop AI/NLP features (chatbots, sentiment analysis, predictive components), and cloud work (e.g., AWS-backed data pipelines).

Uvik’s clients consistently praise them for on-time delivery, easy integration with in-house teams, and strong Python/NLP execution, calling them “rock stars,” and the “right experts at the right times”.

KanhaSoft: Python delivery with a pragmatic, augmentation-friendly model

Kahna is a great choice for those who need Python/Django web app development, custom CRM/ERP, or AI-assisted features delivered by a senior, plug-in crew.

➤ Founded: 2012, India 
➤ Clutch rating: 5.0 (22+ reviews)
➤ Office locations: Ahmedabad, India
➤ Notable clients: Yotascale, NEC Financial Services, Elite Athlete Service, MycoWorks, Avnew Health
➤ Industries they know well: SaaS, Healthcare / medtech, Fintech, EdTech
➤ Core strengths: Python/Django apps, custom CRM / ERP, AI / NLP add-ons, web scraping
➤ Limitations: Strategy / PMO depth is adequate but reviews note they’re the strongest as builders and augmenters

KanhaSoft positions itself as an AI-powered web & mobile shop with a strong Python/Django, delivered via staff augmentation or project teams. Founded in 2012, the company primarily offers team augmentation (with project teams on demand), and its services go from web app development and multi-tenant SaaS builds to data-heavy integrations  and AI/NLP feature development. 

Core expertise

KanhaSoft’s core lane is Python/Django for scale-ready web products and internal systems – think multi-tenant SaaS, bespoke CRMs/ERPs, and API-first services hooked into AWS, Azure, or GCP. They can also help you add AI/NLP features and offer web-scraping services/ETL to support analytics and automation.

Kanha’s clients value them for strong Python/Django skills, responsive communication, and “outstanding” commitment. Some clients greatly appreciate the performance of Kanha’s developers and ability to work in sync with the in-house devs despite the time difference.

Pynest: Python-native team for backend development, data, and ML

Go-to for businesses looking to team up with vetted Python developers fast or require specialists for backend development, data engineering, or ML features.

➤ Founded: 2021, Poland 
➤ Clutch rating: 5.0 (14+ reviews)
➤ Office locations: Dallas (US), Tallinn (Estonia), Warsaw (Poland)
➤ Industries they know well: Fintech, Healthcare, E-learning, Retail, SaaS
➤ Core strengths: Python microservices (FastAPI/Django), data engineering / ETL, and ML integrations
➤ Limitations: Geared toward augmentation and delivery; product strategy typically requires explicit scoping

Pynest presents itself as a Python-first tech partner with 200+ in-house developers. They can join your team fast (often in about two days) and cover the practical stuff (think FastAPI or Django backends, cloud development and ML features development). 

Core expertise

Pynest’s developers are strong when it comes to Python microservices and data work. So if you want to build and extend APIs with FastAPI, Django and Flask, wire databases and message brokers or deal with ETL pipelines – Pynest can have your back.

Pynest’s clients say the team shows up on time and just nails the Python work, calling them “grandmasters” even. Overall, they’re pulling straight 5/5s on quality, schedule, and cost-effectiveness.

Bottom line: Don’t look for best Python development companies

“Best” doesn’t mean much. Fit does.

Each of the Python development companies on the list shines in their own way: AI, SaaS, enterprise systems, rapid development. The real question is who’s best for you.

Before you pick, ask things like:

• Who has delivered projects similar to yours, in the same industry?
• Who can work within your timeline and budget?
• Who’s honest enough to ask whether you really need AI?
• Who will still be around when you need to scale, refactor, or audit that code two years from now?

If Flyaps sounds like the kind of team you’d work well with, drop us a line.

Either way, we hope you find the right Python development company that fits your operations best.