Django Stars vs Qubit Labs: full comparison for 2026
Quick verdict
Django Stars (3.9/5) edges ahead of Qubit Labs (3.7/5) overall. Django Stars is the better choice for startups building Python or Django-based fintech or healthtech products. Qubit Labs is the stronger option for buyers wanting direct control over a staff-augmented Ukraine-based team. The right choice depends on your project size, budget, and required tech stack.
Django Stars vs Qubit Labs: head-to-head summary
| Criterion | Django Stars | Qubit Labs |
|---|---|---|
| Founded | 2008 | 2015 |
| HQ | Kyiv, Ukraine | Kyiv, Ukraine |
| Team size | 150–300 (per company website; independently unverifiable precise figure) | 50–100 (per company website; independently unverifiable precise figure) |
| Rating | 3.9 / 5 | 3.7 / 5 |
| Primary differentiator | A technical culture rooted in Python and Django specialization, now applied to broader product work | A dedicated staff-augmentation and recruiting model rather than owned project delivery |
| Pricing model | Dedicated-team and fixed-project engagements | Staff-augmentation, typically billed per placed engineer |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Django, React | Varies by placed engineer's stack |
| Industries served | Fintech, Healthcare, Logistics | Enterprise software, Retail, Fintech |
Django Stars vs Qubit Labs: overview
Django Stars
The name gives it away: Django Stars started in Kyiv in 2008 around a specialization in Python and the Django framework, later broadening into general product development for fintech, healthtech, and logistics clients. That framework-level origin still shows up in its technical culture, a real advantage for buyers building Python-heavy backends specifically, even though the company markets itself more broadly today than a Python-only vendor. It operates at a similar mid-size scale to several other Kyiv-founded firms on this list.
Qubit Labs
Qubit Labs doesn't deliver projects the way most companies on this list do: it's a Kyiv-based staff-augmentation and recruiting specialist, founded in 2015, that builds and places dedicated engineering teams under a client's own management instead of owning delivery itself. That model suits a buyer who wants direct day-to-day control over a Ukraine-based team without running their own local recruiting and HR operation, a meaningfully different value proposition from the fixed-scope or managed-delivery firms elsewhere on this list. It is the wrong fit for a buyer who wants a vendor to own the full project delivery, rather than just staff a team.
Services and capabilities: Django Stars vs Qubit Labs
| Capability | Django Stars | Qubit Labs |
|---|---|---|
| Custom software development | ✓ | ✗ |
| Team extension / staff augmentation | ✗ | ✓ |
| Embedded & IoT engineering | ✗ | ✗ |
| Cloud & DevOps | ✓ | ✗ |
| Cybersecurity | ✗ | ✗ |
| Enterprise modernization | ✗ | ✗ |
Tech stack comparison: Django Stars vs Qubit Labs
| Framework / platform | Django Stars | Qubit Labs |
|---|---|---|
| React | ✓ | N/A |
| AWS | ✓ | N/A |
| Java | N/A | N/A |
| .NET | N/A | N/A |
| Python | ✓ | N/A |
Pricing comparison: Django Stars vs Qubit Labs
| Criterion | Django Stars | Qubit Labs |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Fixed project | Staff augmentation, Team extension |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Django Stars vs Qubit Labs
| Dimension | Django Stars | Qubit Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Logistics | Enterprise software, Retail, Fintech |
| Best use cases | A fintech or healthtech startup building a Python or Django-based product from scratch., A buyer that wants a Kyiv-headquartered, not just Kyiv-delivered, vendor. | A buyer that wants to build and manage its own Ukraine-based engineering team directly., A company wanting to avoid setting up its own local Ukrainian recruiting and HR operation. |
| Typical project type | Dedicated team | Staff augmentation |
Django Stars vs Qubit Labs: pros and cons
| Django Stars | |
|---|---|
| + | Strong Python and Django technical culture traceable to the company's own founding specialization. |
| + | Named fintech and healthtech product experience beyond generic full-stack work. |
| + | Kyiv-founded and still headquartered there, unlike several peers that relocated abroad. |
| - | Mid-size team caps capacity for very large, multi-team enterprise programs |
| - | Python specialization is less relevant to a buyer standardized on a different backend stack |
| Qubit Labs | |
|---|---|
| + | Staff-augmentation model gives direct day-to-day control over the team, which some buyers specifically want. |
| + | Handles local recruiting and HR overhead a foreign buyer would otherwise have to build themselves. |
| + | Cost structure typically more accessible than a full managed-delivery engagement. |
| - | Does not own project delivery outcomes, so a buyer needing a vendor to manage the full delivery lifecycle should look elsewhere |
| - | Public data on exact team size is thinner than for more established peers (per company website; independently unverifiable) |
Who should choose Django Stars?
A typical fit: a fintech or healthtech startup building a Python or Django-based product from scratch.
A technical culture rooted in Python and Django specialization, now applied to broader product work. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Logistics.
Who should choose Qubit Labs?
A typical fit: a buyer that wants to build and manage its own Ukraine-based engineering team directly.
A dedicated staff-augmentation and recruiting model rather than owned project delivery. Minimum engagement is not publicly disclosed. Works best with clients in Enterprise software, Retail, Fintech.
Decision matrix: Django Stars vs Qubit Labs
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Django Stars |
| You need a large dedicated team for an ongoing programme | Django Stars |
| Your budget is at the lower end | Compare: Django Stars (Not published) vs Qubit Labs (Not published) |
| You need specialist depth in a specific vertical | Django Stars |
| You need staff augmentation or team extension | Qubit Labs |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Django Stars vs Qubit Labs
| Use case | Django Stars fit | Qubit Labs fit | Winner |
|---|---|---|---|
| A fintech or healthtech startup building a Python or Django-based product from scratch. | Strong | Strong | Both equally |
| A buyer that wants a Kyiv-headquartered, not just Kyiv-delivered, vendor. | Strong | Strong | Both equally |
| A buyer that wants to build and manage its own Ukraine-based engineering team directly. | Strong | Strong | Both equally |
| A company wanting to avoid setting up its own local Ukrainian recruiting and HR operation. | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Django Stars vs Qubit Labs
Django Stars (3.9/5) is the stronger overall choice for most IT Outsourcing (Ukraine) projects. A technical culture rooted in Python and Django specialization, now applied to broader product work.
Qubit Labs (3.7/5) is worth a look if you need a company wanting to avoid setting up its own local Ukrainian recruiting and HR operation. If your situation matches that, Qubit Labs is a competitive option.
Related comparisons
Django Stars vs Qubit Labs FAQ
Is Django Stars better than Qubit Labs?
Django Stars (3.9/5) scores higher overall, but "better" depends on your use case. Django Stars's strongest advantage: strong Python and Django technical culture traceable to the company's own founding specialization. Qubit Labs's strongest advantage: staff-augmentation model gives direct day-to-day control over the team, which some buyers specifically want.
How do Django Stars and Qubit Labs differ in pricing?
Django Stars uses dedicated-team and fixed-project engagements pricing. Qubit Labs uses staff-augmentation, typically billed per placed engineer pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Django Stars or Qubit Labs?
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 Django Stars and Qubit Labs?
Django Stars's primary differentiator is: a technical culture rooted in Python and Django specialization, now applied to broader product work. Qubit Labs's primary differentiator is: a dedicated staff-augmentation and recruiting model rather than owned project delivery. They also differ in team size (150–300 (per company website; independently unverifiable precise figure) vs 50–100 (per company website; independently unverifiable precise figure)), minimum engagement (Not published vs Not published), and primary industries served (Fintech, Healthcare vs Enterprise software, Retail).
Verify all details directly with each company before making a decision.