Top Python Development Companies In Ukraine For 2026
David Roberts
Founder & CEO - Reverb
10.25.2026
Picking a Python development company in Ukraine is easier when you can see, firm by firm, what each team actually builds with the language. Python covers a wide range of work, from Django back offices and FastAPI services to data pipelines, scraping, automation and machine learning, and Ukrainian vendors tend to lean toward one or two of those areas rather than all of them.
Every firm below was checked on its own website for two things: a named office or delivery center in a Ukrainian city, and Python presented as a real capability through a dedicated service page or Python case studies. The selection mixes boutique Python shops, staff augmentation specialists and product studios across Kyiv, Lviv, Dnipro, Kharkiv, Ivano-Frankivsk and Chernihiv. If you need a broader view of the market beyond Python, see our guide to the top software development companies in Ukraine.
Use the summary table for a quick shortlist, then read the profiles for stack details, delivery formats and the type of client each firm suits best.
Python Development Companies In Ukraine At A Glance
Company
Location
Team Size
Best For
PLANEKS
Kyiv
10 to 49
Django and FastAPI web apps, automation and data dashboards
Go Wombat
Dnipro, Ivano-Frankivsk
100+
Python back ends for IoT, AdTech and business systems
Flyaps
Dnipro
n/a
Senior Python engineers for telecom, HR tech and AI products
SoloWay Technologies
Ivano-Frankivsk
20+ Python developers
Hiring Python developers on fixed, milestone or monthly terms
EchoGlobal
Lviv
n/a
Python and Django staff augmentation for UK and EU firms
Intent Solutions
Kharkiv
n/a
Django, DRF and FastAPI builds plus Python outstaffing
Clover Dynamics
Lviv
n/a
Python for AI features, real-time data and WebRTC
Che IT Group
Chernihiv, Kyiv, Lviv
80+
Python APIs and integrations alongside web and no-code stacks
Duanex
Kyiv, Lviv
n/a
Python and machine learning for finance and insurance
Best Python Development Companies In Ukraine In 2026
1. PLANEKS — Python-First Web And Automation Studio
PLANEKS is a Kyiv-headquartered firm founded in 2018 that builds almost everything around Python. Its site has separate service pages for Python development, Django, Flask and FastAPI, plus a page for hiring Django REST Framework developers, which tells you how central the language is to the business. The company lists a team of 10 to 49 people and says it has worked with more than 100 clients across over 20 industries, including financial services, healthcare, e-commerce, logistics and real estate.
Two projects on its site show the range. Spontivly is a data analytics dashboard platform built with Python, React, PostgreSQL, AWS and Docker that connects to more than 120 third-party platforms. The Robot Factory project for Quandri automates insurance brokerage tasks, and PLANEKS reports that it cut robot setup time by up to 120 hours per month. Beyond web apps and APIs, the team offers data engineering, machine learning, system integrations, robotic process automation and software audits, with Celery used for background processing.
PLANEKS works with startups testing an MVP, scale-ups and established companies modernizing older systems, through dedicated teams or project-based contracts.
Best for: Startups and SMBs that want a small, Python-only team for a Django or FastAPI product or an automation project.
2. Go Wombat — Python Back Ends For IoT And Business Systems
Go Wombat was founded in 2015 and runs offices in Dnipro and Ivano-Frankivsk, alongside Tallinn and Valencia. The company states plainly that Python is its main backend language and that its core team has used it for more than ten years. Django is positioned for business systems, back offices and admin tools, while FastAPI appears in its stack for lighter, API-first services.
The team has grown to more than 100 people and reports over 150 delivered projects. Its industry focus is unusually specific for a Python shop: industrial IoT for manufacturing and logistics, AdTech and MarTech, smart city and PropTech platforms, sports tech, energy, travel and HR. Client feedback on its site mentions a Django tool built for Frontdesk Nordic that automates the counting of deals, a microservices-based system for Cyborg and a data platform for GlobalDataResources.
That mix of Django admin tooling and data-heavy IoT work makes Go Wombat a practical option when your product has a busy back office as well as a stream of device or event data to process. Having two Ukrainian offices in different regions also spreads the team across more than one city, which some buyers value for continuity.
Best for: Companies that need a mid-sized Python team for IoT, AdTech or internal business platforms.
3. Flyaps — Senior Python Engineers For Data And AI Products
Flyaps has been building software since 2013 from its office in Dnipro, with further offices in New York and Kraków. The company describes itself as having “Python in our blood”, and its page for hiring Python developers lists one of the deepest stacks of any firm here: Django, Django REST Framework, FastAPI, Flask, Pydantic, SQLAlchemy, pandas, NumPy, PyTorch, TensorFlow, OpenCV, Celery, Scrapy and NVIDIA NeMo and Riva, with Airflow, Kafka and dbt on the data side.
The Python offering is grouped into four focus areas: AI and machine learning (custom models or LLM integration), big data and data engineering, cloud microservices, and large-scale web systems built for peak load. Flyaps highlights telecom, HR tech and media as its core domains, and names case studies with Airbyte, UrbanSim, Yaana Technologies, Relocate.me and YouTeam. Featured engineers on its site average more than ten years of experience, and the company says clients stay for about three years on average.
Flyaps suits buyers who want experienced engineers embedded in an existing product rather than a junior-heavy team, particularly where Python is used for data pipelines or AI features rather than only web back ends.
Best for: Telecom, HR tech and data platform companies adding senior Python or ML engineers.
SoloWay Technologies runs its European office on Vovchynetska Street in Ivano-Frankivsk, with further offices in London, Singapore and Toronto. The company has a dedicated page for hiring Python developers, where it states that it has more than 20 Python developers, that 92% of them are middle or senior engineers, and that a developer can usually start within one to two weeks.
Its Python skill set covers Django, Tornado, Flask and FastAPI for web and API work, plus pandas, SciPy, TensorFlow and PyTorch for data and AI tasks, with Celery, Redis, PostgreSQL, Docker and Kubernetes in the supporting stack. SoloWay cites more than 17 years of experience and more than 99 delivered projects across edtech, e-commerce, retail, logistics, real estate, event ticketing and healthcare. Named projects on its site include Concert.ua, a ticket booking system, and IFCem, employee portals for three industrial subsidiaries.
What sets SoloWay apart for buyers is the choice of commercial terms. It offers fixed-price project work, milestone-based work within a fixed budget, and a dedicated team billed monthly, so you can start with a scoped project and move to a longer engagement later.
Best for: Companies that want to hire Python developers in Ukraine with a choice of fixed, milestone or monthly terms.
5. EchoGlobal — Python And Django Staff Augmentation From Lviv
EchoGlobal, formerly EchoUA, has offered IT outstaffing since 2013. Its Ukrainian office is on Stryiska Street in Lviv, with further offices in Tallinn and London. The company is built around four services: staff augmentation, managed development teams, tech recruitment and custom IT staffing, which makes it a fit for buyers who want to keep product ownership in-house and add engineers to their own team.
Python features prominently in its published case studies. For Made, the online furniture retailer later acquired by Next, EchoGlobal supplied a four-person Python team. For Touch Stay, a guest guidebook platform, it provided a five-person web team working on a Django platform. For Powwownow (PWN), the conferencing company acquired by PGi, a four-person back-end team moved payments from legacy PHP to Python. Other case studies cover estate agent software, sports gaming and event ticketing.
Those examples point to a typical pattern: small, stable teams of three to five engineers working inside a client’s product for the long term, often for UK companies. If you already have a technical lead and need Django or Python capacity rather than a full agency, this model keeps costs and management overhead predictable.
Best for: UK and EU product companies adding a small Python or Django team under their own management.
Intent Solutions is a Ukrainian IT company working since 2013 from its office on Bannyi Lane in Kharkiv. It reports more than 150 completed projects across e-commerce, fintech, healthcare, edtech, logistics and enterprise work. The firm has a dedicated Python and Django page that names Django, Django REST Framework and FastAPI as its main backend frameworks, supported by Celery, Redis, PostgreSQL, pandas and vector databases.
The Python service list is broad and practical: backend and REST API development, AI and LLM integration (including retrieval-augmented generation, semantic search, NLP and classification), ETL and ELT data pipelines, analytics and BI, business process automation, computer vision, and IoT integration. It also covers Python consulting and technical audits, support for existing Django systems and legacy modernization, which matters if you have inherited a Django codebase that needs attention.
Intent Solutions also outstaffs Python developers on full-time or part-time terms and says engineers can join within three to five days. Its site is largely in Ukrainian, so it is a natural partner for Ukrainian businesses as well as international clients looking for Django development in Ukraine.
Best for: Teams that need Django support, audits or modernization, or quick part-time Python capacity.
7. Clover Dynamics — Python For AI Features And Real-Time Data
Clover Dynamics is based in Lviv and has a dedicated Python development page that frames the language around AI and machine learning, real-time data processing, backend APIs, automation and AI-powered SaaS. Its stack includes Django, FastAPI and Flask for web work and PyTorch and TensorFlow for models. The firm also lists less common Python use cases such as WebRTC applications and browser extensions.
Its Python case studies reflect that focus. LiveTracking is a cloud-based manufacturing performance tracking tool that uses industrial IoT data and analytics. A customer analytics project for a renewable energy client used AI and ML to streamline client identification. Another project is an AI-based e-commerce search tool delivered as a browser extension, and the team also built e-commerce, real-time communication and fintech features for SpaceMetaverse, a Canadian NFT art startup. Industries listed on its site include e-commerce, edtech, fintech, healthcare, insurance, media and real-time communications.
Clover Dynamics offers a one-year warranty after a partnership contract, a useful point to raise if you are outsourcing a fixed-scope build and want post-launch fixes covered.
Best for: Products that need Python-driven AI search, analytics or real-time communication features.
8. Che IT Group — Python APIs And Integrations Across Three Ukrainian Offices
Che IT Group has worked since 2014 and runs development offices in Chernihiv, Kyiv and Lviv, with representative offices in Switzerland, Estonia and Norway. The team numbers more than 80 people. Its dedicated Python page describes web apps, APIs, data pipelines and AI integrations, built with FastAPI, Django and Flask, and with NumPy, pandas, TensorFlow and scikit-learn for data work.
The company offers Python in four formats: full-cycle product development, dedicated developers who join your team, task-specific work handed off from an in-house team, and custom plugins that extend existing systems without restructuring them. It says hiring a Python engineer usually takes a couple of weeks, works under an NDA and includes post-launch maintenance and scaling.
Che IT Group’s wider portfolio leans toward websites, e-commerce and workflow automation, with Shopify, WordPress, Webflow and n8n projects for clients in the USA, the Netherlands and Lithuania. That makes it a sensible choice when you want a Python API, data pipeline or AI integration to sit alongside a marketing site or no-code tools, and prefer one vendor for both. Its FAQ also argues the case for moving from PHP to Python, which is relevant if you are planning that migration.
Best for: Companies adding Python services or plugins to an existing web, e-commerce or automation stack.
9. Duanex — Python And Machine Learning For Finance And Insurance
Duanex, which also brands itself as an AI agents studio, says its main engineering center is in Kyiv and Lviv, with team members in Ukraine and Poland. It cites more than ten years of experience and has a dedicated Python technology page alongside a separate machine learning service, which is where most of its Python work sits.
The industries on its site are weighted toward regulated and data-heavy sectors: insurance, banking, asset management, finance, health tech, telecommunications and real-time monitoring, plus marketing and logistics. Client testimonials describe a scalable online credit platform and a credit scoring system built for BitBank, a system delivered for Union Standard Bank, and a website, B2C management platform and PayPal integration for MimiMaps. AI agents and machine learning are presented as current focus areas.
Credit scoring and risk models are classic Python and ML territory, so Duanex is worth a conversation if you are building lending, insurance or monitoring products that combine a web platform with predictive models. Because its site does not publish headcount or detailed case studies, ask for named references and a sample team before you commit.
Best for: Fintech, lending and insurance companies combining Python back ends with ML or AI agents.
Engagement Models For Python Projects In Ukraine
Ukrainian Python vendors sell their work in a handful of standard formats, and the right one depends on how much of the product you want to own. The firms above use the following models, often more than one at a time:
Staff augmentation or outstaffing: individual Python engineers join your team and follow your processes. EchoGlobal, Intent Solutions and SoloWay all sell this format, and it suits companies that already have a technical lead.
Dedicated team: a vendor assembles a small Python team, sometimes with QA and a project manager, that works only on your product over the long term. PLANEKS, SoloWay and Che IT Group offer this.
Fixed-price or milestone projects: the vendor delivers an agreed scope for an agreed budget. This works for MVPs, integrations, audits and migrations where requirements are clear.
Task-specific or plugin work: narrowly defined pieces of work, such as a data pipeline or a plugin for an existing system, handed off without a long commitment.
Most firms here do not publish Python rates, so pricing comes down to seniority, team size and contract length. Ask each shortlisted vendor for a rate card by seniority level and for the notice period on dedicated team contracts. If you are still weighing Ukraine against neighbouring markets, our Poland vs Ukraine vs Romania nearshore comparison covers the wider trade-offs, and our list of dedicated development teams in Ukraine is useful if you want a long-term team rather than a project.
How To Choose A Python Development Company In Ukraine
Which Kind Of Python Work Do You Actually Need?
Python is used for very different jobs, and vendors specialize. A Django or FastAPI web product calls for strong backend and API engineers. Data pipelines need people comfortable with Airflow, dbt or Kafka. Machine learning work needs engineers who have shipped models with PyTorch, TensorFlow or scikit-learn into production, not just notebooks. Write down which of these you need before you contact vendors, and ask each one to show work in that specific area.
Can They Show Python Projects Similar To Yours?
Many generalist firms list Python in a technology grid without having delivered much with it. Ask for two or three case studies where Python was the main backend or data language, the team size used and what the vendor was responsible for. A firm that can explain why it chose Django over FastAPI, or how it handled background jobs with Celery, usually has the hands-on experience you want.
How Senior Is The Team You Will Get?
Ask for the CVs of the engineers who will work on your project, not a sample of the company’s best people. Check years of Python experience, the frameworks each person has used and whether a senior engineer or tech lead will review code. Some firms here publish the share of middle and senior engineers or average years of experience, which is a useful starting point for that conversation.
How Do They Handle Business Continuity?
Ukrainian IT firms have spent the past few years building continuity into how they operate, and it is reasonable to ask how. Look for teams spread across more than one city or country, backup power and connectivity (generators, battery systems and satellite or multiple internet providers), and documented handover processes so work continues if one person is offline. Several firms in this guide also run offices in the EU, the UK or North America, and it is worth asking which entity you would contract with, since an EU or UK entity can simplify invoicing and data protection terms. Ask for these details in writing as part of your vendor review.
Who Owns The Code And The Infrastructure?
Confirm that intellectual property transfers to you on payment, that code lives in your own Git repositories and that cloud accounts are set up under your company. This matters for any vendor, but especially for Python projects that rely on data pipelines, model weights or third-party API keys, which can be hard to move later if they sit in a vendor’s accounts.
Frequently Asked Questions
Why Hire Python Developers In Ukraine?
Ukraine has a large pool of Python engineers with experience in web, data and machine learning work for clients in Europe and North America. Time zone overlap with the EU and UK is good, English is widely used in the industry, and many firms offer flexible formats from single engineers to full teams. For a wider overview of the market, see our list of the top IT companies in Ukraine.
Is Django Or FastAPI Better For My Project?
Django suits products that need an admin panel, user management and a relational database out of the box, such as marketplaces, SaaS platforms and back-office tools. FastAPI suits lightweight, high-performance APIs and services, including those that serve machine learning models. Many teams use both: Django for the core product and FastAPI for specific services. A good vendor will recommend one based on your requirements rather than its own habits.
How Quickly Can A Ukrainian Python Team Start?
It depends on the format. Staff augmentation firms often quote a start within days to two weeks for individual engineers, as several companies in this guide do on their own sites. A full dedicated team or a fixed-scope project usually takes longer because it starts with a discovery or scoping phase. Ask each vendor for a realistic start date for the exact team you need.
Can Ukrainian Firms Take Over An Existing Python Codebase?
Yes. Several firms here offer audits, support for existing Django systems and legacy modernization, and EchoGlobal’s case studies include moving payments from legacy PHP to Python. Start with a paid code audit so the vendor can estimate the work accurately and flag risks before you sign a longer contract.
Conclusion
The Python market in Ukraine ranges from small studios that work almost entirely in Django and FastAPI to staffing specialists that place Python engineers inside UK and EU product teams, and data-focused firms that use Python for machine learning, IoT and analytics. The best fit depends on whether you need a product built for you, engineers added to your team, or specialist data and AI skills.
Shortlist two or three firms whose Python work matches your project, ask for relevant case studies and engineer CVs, and check their continuity setup and contract terms before you commit. A short paid pilot or audit is still the most reliable way to test a new partner.
Bookmark this guide, as we update it when firms change their services or locations.
If you want to feature your company on this list, email us or submit a form in the Top Choices section. After a thorough assessment, we’ll decide whether it’s a valuable addition.
