STX Next vs Django Stars: full comparison for 2026
Quick verdict
STX Next (3.9/5) edges ahead of Django Stars (3.7/5) overall. STX Next is the better choice for UK buyers wanting a Python and data-engineering specialist with a local office. 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.
STX Next vs Django Stars: head-to-head summary
| Criterion | STX Next | Django Stars |
|---|---|---|
| Founded | 2005 | 2008 |
| HQ | Poznań, Poland (delivery centers in Poland and Mexico; offices in the UK, Germany, and the US) | Kyiv, Ukraine |
| Team size | 150–300 (per company website; independently unverifiable precise figure) | 150–300 (per company website; independently unverifiable precise figure) |
| Rating | 3.9 / 5 | 3.7 / 5 |
| Primary differentiator | A Python-native engineering culture paired with a staffed UK office | 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 | Python, Django, AWS | Python, Django, React |
| Industries served | Fintech, SaaS, Healthcare | Fintech, Healthcare, Logistics |
STX Next vs Django Stars: overview
STX Next
STX Next started in Poznań, Poland in 2005 around Python engineering specifically, and has since broadened into AI, data engineering, and cloud work while keeping delivery centers in Poland and Mexico and adding offices in the UK, Germany, and the US. That UK office is a staffed local presence rather than a virtual sales address, useful for a British buyer who wants an in-market contact point for a Python-heavy or data-engineering-heavy build. Its Python-first technical culture is a real specialization most general outsourcing vendors on this list don't claim.
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: STX Next vs Django Stars
| Capability | STX Next | Django Stars |
|---|---|---|
| Custom build | ✓ | ✗ |
| Consulting | ✗ | ✗ |
| Integration | ✗ | ✗ |
| Staff augmentation | ✗ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: STX Next vs Django Stars
| Framework / platform | STX Next | Django Stars |
|---|---|---|
| React | N/A | ✓ |
| AWS | ✓ | ✓ |
| Node.js | N/A | N/A |
| Java | N/A | N/A |
| .NET | N/A | N/A |
Pricing comparison: STX Next vs Django Stars
| Criterion | STX Next | Django Stars |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Fixed project | Dedicated team, Fixed project |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: STX Next vs Django Stars
| Dimension | STX Next | Django Stars |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, SaaS, Healthcare | Fintech, Healthcare, Logistics |
| Best use cases | A UK company building a Python-heavy backend or data engineering pipeline., A buyer wanting a local UK office contact for a Polish-delivered engagement. | 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 |
STX Next vs Django Stars: pros and cons
| STX Next | |
|---|---|
| + | A real, staffed UK office alongside its Polish delivery base. |
| + | Python-first engineering culture, a real specialty most generalist vendors don't claim. |
| + | Two decades of continuous operation since 2005. |
| - | Python specialization matters less to a buyer standardized on a different backend stack |
| - | Boutique scale relative to the largest firms on this list |
| 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 STX Next?
A typical fit: a UK company building a Python-heavy backend or data engineering pipeline.
A Python-native engineering culture paired with a staffed UK office. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, SaaS, Healthcare.
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: STX Next vs Django Stars
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | STX Next |
| You need a large dedicated team for an ongoing programme | STX Next |
| Your budget is at the lower end | Compare: STX Next (Not published) vs Django Stars (Not published) |
| You need specialist depth in a specific vertical | STX Next |
| 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: STX Next vs Django Stars
| Use case | STX Next fit | Django Stars fit | Winner |
|---|---|---|---|
| A UK company building a Python-heavy backend or data engineering pipeline. | Strong | Strong | Both equally |
| A buyer wanting a local UK office contact for a Polish-delivered engagement. | 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: STX Next vs Django Stars
STX Next (3.9/5) is the stronger overall choice for most Software Outsourcing (UK) projects. A Python-native engineering culture paired with a staffed UK office.
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
STX Next vs Django Stars FAQ
Is STX Next better than Django Stars?
STX Next (3.9/5) scores higher overall, but "better" depends on your use case. STX Next's strongest advantage: a real, staffed UK office alongside its Polish delivery base. Django Stars's strongest advantage: strong Python and Django engineering culture traceable to the company's own founding specialization.
How do STX Next and Django Stars differ in pricing?
STX Next 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: STX Next or Django Stars?
STX Next 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 STX Next and Django Stars?
STX Next's primary differentiator is: a Python-native engineering culture paired with a staffed UK office. 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 (150–300 (per company website; independently unverifiable precise figure) vs 150–300 (per company website; independently unverifiable precise figure)), minimum engagement (Not published vs Not published), and primary industries served (Fintech, SaaS vs Fintech, Healthcare).
Verify all details directly with each company before making a decision.