Top Software Outsourcing Companies UK

N-iX vs Django Stars: full comparison for 2026

Quick verdict

N-iX (4.1/5) edges ahead of Django Stars (3.7/5) overall. N-iX is the better choice for UK buyers wanting delivery risk spread across multiple countries. Django Stars is the stronger option for UK buyers standardized on Python wanting that as a genuine specialty. The right choice depends on your project size, budget, and required tech stack.

N-iX vs Django Stars: head-to-head summary

Criterion N-iX Django Stars
Founded 2002 2008
HQ Lviv, Ukraine (offices across eight countries including the UK) Kyiv, Ukraine
Team size 2,000+ 150–300 (per company website; independently unverifiable precise figure)
Rating 4.1 / 5 3.7 / 5
Primary differentiator A real UK office woven into an eight-country delivery footprint, beyond offshore sales coverage alone A company literally named after its founding framework, with real UK working-hours overlap from Kyiv
Pricing model Dedicated-team and fixed-project engagements Dedicated-team and fixed-project engagements
Min. engagement Not published Not published
Primary tech stack Java, React, AWS Python, Django, React
Industries served Financial services, Retail, Telecom Fintech, Healthcare, Logistics

N-iX vs Django Stars: overview

N-iX

N-iX was founded in Lviv in 2002 and has grown to more than 2,000 professionals spread across eight countries, Poland, Ukraine, Sweden, Bulgaria, Malta, the UK, the US, and Colombia, giving it a genuine UK presence rather than a purely offshore sales relationship. Its practice spans custom software, cloud, and data engineering for enterprise clients, with the multi-country footprint offering real delivery-risk diversification a single-country vendor can't match. That spread is a real advantage for a UK buyer wary of concentrating delivery risk in one location.

Django Stars

The company's own name gives away its specialty: Django Stars started in Kyiv in 2008 built around Python and the Django framework, a focus that still describes its actual engineering culture today even after broadening into fintech and healthtech product work. Its boutique scale, 150-300 people, sits close enough to the UK in timezone for genuine working-day overlap, and its Python specialization is real value for a UK buyer building a Python-heavy backend. It's simply invisible value to a buyer standardized on a different stack.

Services and capabilities: N-iX vs Django Stars

Capability N-iX Django Stars
Custom build
Consulting
Integration
Staff augmentation
Fixed-price projects
Dedicated team model

Tech stack comparison: N-iX vs Django Stars

Framework / platform N-iX Django Stars
React
AWS
Node.js N/A N/A
Java N/A
.NET N/A N/A

Pricing comparison: N-iX vs Django Stars

Criterion N-iX Django Stars
Minimum engagement Not published Not published
Engagement models Dedicated team, Fixed project, Consulting Dedicated team, Fixed project
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: N-iX vs Django Stars

Dimension N-iX Django Stars
Best company size Startup to mid-market Startup to mid-market
Best industries Financial services, Retail, Telecom Fintech, Healthcare, Logistics
Best use cases A UK buyer wanting a local office contact backed by a large, geographically diversified team., An enterprise wanting delivery risk spread across multiple countries rather than one. A UK fintech or healthtech startup building a Python or Django-based product., A buyer specifically wanting deep framework-level expertise over generalist breadth.
Typical project type Dedicated team Dedicated team

N-iX vs Django Stars: pros and cons

N-iX
+ A staffed UK office rather than remote coverage of the market from abroad.
+ Delivery spread across eight countries reduces single-location risk.
+ More than two decades of continuous operation since 2002.
- UK is one of eight delivery countries rather than the company's primary base
- Broad multi-country positioning without one sharply named technical specialty
Django Stars
+ Strong Python and Django engineering culture traceable to the company's own founding specialization.
+ Named fintech and healthtech product experience beyond generic full-stack claims.
+ Kyiv timezone allows genuine UK working-day overlap.
- Python specialization is invisible value to a buyer standardized on a different backend stack
- No dedicated UK office among the companies on this list

Who should choose N-iX?

A typical fit: a UK buyer wanting a local office contact backed by a large, geographically diversified team.

A real UK office woven into an eight-country delivery footprint, beyond offshore sales coverage alone. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Retail, Telecom.

Who should choose Django Stars?

A typical fit: a UK fintech or healthtech startup building a Python or Django-based product.

A company literally named after its founding framework, with real UK working-hours overlap from Kyiv. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Logistics.

Decision matrix: N-iX vs Django Stars

Your situation Recommended choice
You need full-ownership delivery on a defined project scope N-iX
You need a large dedicated team for an ongoing programme N-iX
Your budget is at the lower end Compare: N-iX (Not published) vs Django Stars (Not published)
You need specialist depth in a specific vertical N-iX
You need staff augmentation or team extension Neither; consider alternatives that offer staff aug
You need consulting before committing to a build Both may offer discovery engagements

Use case fit: N-iX vs Django Stars

Use case N-iX fit Django Stars fit Winner
A UK buyer wanting a local office contact backed by a large, geographically diversified team. Strong Strong Both equally
An enterprise wanting delivery risk spread across multiple countries rather than one. Strong Strong Both equally
A UK fintech or healthtech startup building a Python or Django-based product. Strong Strong Both equally
A buyer specifically wanting deep framework-level expertise over generalist breadth. Strong Strong Both equally
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: N-iX vs Django Stars

N-iX (4.1/5) is the stronger overall choice for most Software Outsourcing (UK) projects. A real UK office woven into an eight-country delivery footprint, beyond offshore sales coverage alone.

Django Stars (3.7/5) is worth a look if you need a buyer specifically wanting deep framework-level expertise over generalist breadth. If your situation matches that, Django Stars is a competitive option.

Related comparisons

N-iX vs Django Stars FAQ

Is N-iX better than Django Stars?

N-iX (4.1/5) scores higher overall, but "better" depends on your use case. N-iX's strongest advantage: a staffed UK office rather than remote coverage of the market from abroad. Django Stars's strongest advantage: strong Python and Django engineering culture traceable to the company's own founding specialization.

How do N-iX and Django Stars differ in pricing?

N-iX uses dedicated-team and fixed-project engagements pricing. Django Stars uses dedicated-team and fixed-project engagements pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: N-iX or Django Stars?

Django Stars is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.

What are the main differences between N-iX and Django Stars?

N-iX's primary differentiator is: a real UK office woven into an eight-country delivery footprint, beyond offshore sales coverage alone. Django Stars's primary differentiator is: a company literally named after its founding framework, with real UK working-hours overlap from Kyiv. They also differ in team size (2,000+ vs 150–300 (per company website; independently unverifiable precise figure)), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Retail vs Fintech, Healthcare).

Verify all details directly with each company before making a decision.