ELEKS vs Django Stars: full comparison for 2026
Quick verdict
ELEKS (4.2/5) edges ahead of Django Stars (3.7/5) overall. ELEKS is the better choice for enterprise buyers wanting three and a half decades of engineering history. Django Stars is the stronger option for a buyer standardized on Python who wants that as a genuine specialty. The right choice depends on your project size, budget, and required tech stack.
ELEKS vs Django Stars: head-to-head summary
| Criterion | ELEKS | Django Stars |
|---|---|---|
| Founded | 1991 | 2008 |
| HQ | Lviv, Ukraine | Kyiv, Ukraine |
| Team size | 2,000+ | 150–300 (per company website; independently unverifiable precise figure) |
| Rating | 4.2 / 5 | 3.7 / 5 |
| Primary differentiator | The longest continuous operating history of any non-giant company on this list | One of the only companies on this list literally named after its founding technology stack |
| Pricing model | Fixed-scope and dedicated-team enterprise engagements | Dedicated-team and fixed-project engagements |
| Min. engagement | Not published | Not published |
| Primary tech stack | Java, .NET, AWS | Python, Django, React |
| Industries served | Healthcare, Insurance, Financial services | Fintech, Healthcare, Logistics |
ELEKS vs Django Stars: overview
ELEKS
ELEKS opened in Lviv in 1991, a year before Ukraine itself declared independence, and has grown to more than 2,000 engineers over three and a half decades. Compared with the mega-giants on this list it's a small operation, but among boutique and mid-market firms it stands out for sheer institutional longevity, with deep healthcare, insurance, and financial technology practices built up over decades rather than years. That history buys a stable delivery process and senior bench, at the cost of any single named technical specialty as sharp as a true boutique's.
Django Stars
Django Stars started in Kyiv in 2008 built specifically around Python and the Django framework, an unusually literal company name for a niche that most of the giants on this list would fold into a generic 'full-stack development' service line instead. It has since broadened into fintech and healthtech product work without losing the Python-heavy backend culture that gave it its name, staying at a boutique scale, 150-300 people, that a mega-giant would consider a rounding error. That specific framework specialization is real value for a buyer building a Python-heavy product; it's simply invisible to a buyer standardized on a different stack.
Services and capabilities: ELEKS vs Django Stars
| Capability | ELEKS | Django Stars |
|---|---|---|
| Enterprise modernization | ✓ | ✗ |
| Cloud & DevOps | ✓ | ✗ |
| AI/ML development | ✗ | ✗ |
| Custom software development | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: ELEKS vs Django Stars
| Framework / platform | ELEKS | Django Stars |
|---|---|---|
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| SAP | N/A | N/A |
| Java | ✓ | N/A |
| React | ✓ | ✓ |
Pricing comparison: ELEKS vs Django Stars
| Criterion | ELEKS | 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: ELEKS vs Django Stars
| Dimension | ELEKS | Django Stars |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Insurance, Financial services | Fintech, Healthcare, Logistics |
| Best use cases | An insurance or financial services company modernizing a legacy core system., A buyer that values decades of institutional history as a risk-reduction signal. | A fintech or healthtech startup building a Python or Django-based product from scratch., A buyer specifically wanting deep framework-level expertise over generalist breadth. |
| Typical project type | Dedicated team | Dedicated team |
ELEKS vs Django Stars: pros and cons
| ELEKS | |
|---|---|
| + | Longest continuous operating history of any non-giant company reviewed here, since 1991. |
| + | Deep, verified healthcare and insurance regulatory experience. |
| + | Large enough team to staff multi-year enterprise programs. |
| - | Broad enterprise-consultancy positioning rather than one sharply named technical specialty |
| - | A fraction of the delivery capacity of the mega-giants 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-founded and still headquartered there. |
| - | Python specialization is invisible value to a buyer standardized on a different backend stack |
| - | A team size a mega-giant would consider a rounding error, unsuited to very large programs |
Who should choose ELEKS?
A typical fit: an insurance or financial services company modernizing a legacy core system.
The longest continuous operating history of any non-giant company on this list. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Insurance, Financial services.
Who should choose Django Stars?
A typical fit: a fintech or healthtech startup building a Python or Django-based product from scratch.
One of the only companies on this list literally named after its founding technology stack. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Logistics.
Decision matrix: ELEKS vs Django Stars
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | ELEKS |
| You need a large dedicated team for an ongoing programme | ELEKS |
| Your budget is at the lower end | Compare: ELEKS (Not published) vs Django Stars (Not published) |
| You need specialist depth in a specific vertical | ELEKS |
| 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: ELEKS vs Django Stars
| Use case | ELEKS fit | Django Stars fit | Winner |
|---|---|---|---|
| An insurance or financial services company modernizing a legacy core system. | Strong | Strong | Both equally |
| A buyer that values decades of institutional history as a risk-reduction signal. | Strong | Strong | Both equally |
| A fintech or healthtech startup building a Python or Django-based product from scratch. | 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: ELEKS vs Django Stars
ELEKS (4.2/5) is the stronger overall choice for most IT Outsourcing projects. The longest continuous operating history of any non-giant company on this list.
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
ELEKS vs Django Stars FAQ
Is ELEKS better than Django Stars?
ELEKS (4.2/5) scores higher overall, but "better" depends on your use case. ELEKS's strongest advantage: longest continuous operating history of any non-giant company reviewed here, since 1991. Django Stars's strongest advantage: strong Python and Django engineering culture traceable to the company's own founding specialization.
How do ELEKS and Django Stars differ in pricing?
ELEKS uses fixed-scope and dedicated-team enterprise 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: ELEKS 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 ELEKS and Django Stars?
ELEKS's primary differentiator is: the longest continuous operating history of any non-giant company on this list. Django Stars's primary differentiator is: one of the only companies on this list literally named after its founding technology stack. 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 (Healthcare, Insurance vs Fintech, Healthcare).
Verify all details directly with each company before making a decision.