Django Technology Adoption in E-commerce

Discover 6k verified e-commerce stores using Django. Analyze technology adoption, market trends, integration patterns, and business insights.

Detected across 7.5k domains. 6k verified as active stores with physical delivery.

Verified stores
6k
active stores with physical delivery
Top country
Russia
1,381 verified stores
Top payment signal
PayPal
700 detection occurrences
Top carrier signal
СДЭК
447 detection occurrences
Top category
Clothing & Accessories
857 verified stores

This is a public report preview. Use the catalog, exports or API for account lists. Fields depend on your plan; coverage varies by merchant.

6k verified active stores out of 7.5k detected · 79.7% verification rate

E-commerce Platforms Distribution

Custom stores with 80.0% of stores with physical delivery (4,804 stores) , followed by OpenTiendas (7.4%) and Booqable (5.8%) .

Base: 6,004 active verified stores, including those without a detected platform. Rankings show leading platform combinations; displayed percentages need not sum to 100%. Digital products, services, and non-transactional sites are excluded. All stores are verified by our proprietary AI model to ensure accurate e-commerce classification.

Top 10 Platforms (Physical Delivery)

Custom 80.0%

4,804 stores

445 stores

Booqable 5.8%

348 stores

212 stores

Makane 1.7%

103 stores

45 stores

Convertize 0.1%

8 stores

8 stores

8 stores

29next 0.1%

6 stores

Visual Distribution

Distribution of top 10 platforms by stores with physical delivery (June 2026)
E-commerce platforms distribution for stores with physical delivery in Django
Platform Stores with Physical Delivery Percentage
Custom 4804 80.01%
OpenTiendas 445 7.41%
Booqable 348 5.80%
Shoppub 212 3.53%
Makane 103 1.72%
WooCommerce 45 0.75%
Convertize 8 0.13%
PrestaShop 8 0.13%
Shopify 8 0.13%
29next 6 0.10%
Show broader dataset (all e-commerce signals)

Websites with E-commerce Signals

Custom holds 63.8% share of detected Django e-commerce signals (4,804) , with OpenTiendas at 6.0% and Booqable at 13.5% (June 2026) .

Base: 7,529 domains in this report's signal population, including domains without a detected platform. This is not a store count: it can include redirects and non-transactional sites. Displayed percentages need not sum to 100%.

Top 10 Platforms (All Signals)

Custom 63.8%

4,804 websites

453 websites

Booqable 13.5%

1,016 websites

213 websites

Makane 1.9%

146 websites

194 websites

Convertize 0.1%

8 websites

9 websites

13 websites

29next 0.1%

6 websites

Visual Distribution

Distribution of top 10 platforms by websites with signals (June 2026)
E-commerce platforms distribution for websites with signals in Django
Platform Websites with Signals Percentage
Custom 4804 63.81%
OpenTiendas 453 6.02%
Booqable 1016 13.49%
Shoppub 213 2.83%
Makane 146 1.94%
WooCommerce 194 2.58%
Convertize 8 0.11%
PrestaShop 9 0.12%
Shopify 13 0.17%
29next 6 0.08%

Categories Distribution

Clothing & Accessories stores with 14.3% of all stores (857 stores) , followed by Tools & Hardware (12.6%) and Health & Beauty (9.5%) .

Base: 6,004 active verified stores, including stores without a detected category. Percentages use this full population, not only the displayed categories.

Top 10 Categories

Clothing & Accessories 14.3%

857 stores

Tools & Hardware 12.6%

759 stores

Health & Beauty 9.5%

571 stores

Home & Garden 8.9%

532 stores

Food & Beverages 7.0%

422 stores

Electronics & Technology 6.5%

391 stores

Business & Industrial 5.7%

340 stores

Sporting Goods & Outdoor Gear 5.0%

301 stores

Gifts & Special Occasions 4.0%

238 stores

Vehicles & Parts 3.5%

210 stores

Visual Distribution

Distribution of top 10 Django store categories (June 2026)
Distribution of categories in Django e-commerce stores
Category Number of Stores Percentage
Clothing & Accessories 857 14.27%
Tools & Hardware 759 12.64%
Health & Beauty 571 9.51%
Home & Garden 532 8.86%
Food & Beverages 422 7.03%
Electronics & Technology 391 6.51%
Business & Industrial 340 5.66%
Sporting Goods & Outdoor Gear 301 5.01%
Gifts & Special Occasions 238 3.96%
Vehicles & Parts 210 3.50%

Payment Providers Distribution

PayPal accounts for 24.0% of displayed detection occurrences (700 occurrences) , followed by MasterCard (20.9%) and VISA (17.2%) .

Base: 2,916 provider detection occurrences in the displayed ranking, from active stores. One store can contribute multiple occurrences. These percentages are not the share of unique stores or all detections.

Detected from checkout/payment scripts and provider tags; off-site/manual payments excluded where undetectable.

Top 10 Payment Providers

PayPal 24.0%

700 occurrences

610 occurrences

VISA 17.2%

502 occurrences

224 occurrences

206 occurrences

200 occurrences

170 occurrences

137 occurrences

87 occurrences

JCB 2.7%

80 occurrences

Visual Distribution

Distribution of top 10 Django payment providers (June 2026)
Distribution of payment providers in Django e-commerce stores
Payment Provider Detection Occurrences Share of Displayed Occurrences
PayPal 700 24.01%
MasterCard 610 20.92%
VISA 502 17.22%
Google Pay 224 7.68%
Stripe Connect 206 7.06%
American Express 200 6.86%
Apple Pay 170 5.83%
Klarna 137 4.70%
Boleto 87 2.98%
JCB 80 2.74%

Shipping Carriers Distribution

СДЭК accounts for 23.9% of displayed detection occurrences (447 occurrences) , followed by DHL (11.9%) and UPS (10.3%) .

Base: 1,870 carrier detection occurrences in the displayed ranking, from active stores. One store can contribute multiple occurrences. These percentages are not the share of unique stores or all detections.

Detected from checkout/shipping pages and shipment widgets; cross-border carriers included where visible.

Top 10 Shipping Carriers

447 occurrences

DHL 11.9%

222 occurrences

UPS 10.3%

193 occurrences

188 occurrences

DPD 9.9%

186 occurrences

USPS 8.4%

157 occurrences

137 occurrences

GLS 7.0%

131 occurrences

FedEx 6.0%

112 occurrences

Estes 5.2%

97 occurrences

Visual Distribution

Distribution of top 10 Django shipping carriers (June 2026)
Distribution of shipping carriers in Django e-commerce stores
Shipping Carrier Detection Occurrences Share of Displayed Occurrences
СДЭК 447 23.90%
DHL 222 11.87%
UPS 193 10.32%
Почта России 188 10.05%
DPD 186 9.95%
USPS 157 8.40%
Correios 137 7.33%
GLS 131 7.01%
FedEx 112 5.99%
Estes 97 5.19%

Store Launch Timeline

Over the past 12 months, 1,132 new stores were launched in Django , with the highest activity in 2026-05 (142 stores) , demonstrating ongoing growth in the e-commerce market.

Last 12 Months

2026-05 12.5%

142 stores launched

2026-04 13.1%

148 stores launched

2026-03 17.3%

196 stores launched

2026-02 6.9%

78 stores launched

2026-01 10.3%

117 stores launched

2025-12 6.4%

73 stores launched

2025-11 5.7%

64 stores launched

2025-10 6.3%

71 stores launched

2025-09 6.5%

74 stores launched

2025-08 5.7%

65 stores launched

2025-07 5.9%

67 stores launched

2025-06 3.3%

37 stores launched

Monthly Trend

Monthly store launches in Django (June 2026)
Monthly store launches in Django over the past 12 months
Month Stores Launched Percentage
2026-05 142 12.54%
2026-04 148 13.07%
2026-03 196 17.31%
2026-02 78 6.89%
2026-01 117 10.34%
2025-12 73 6.45%
2025-11 64 5.65%
2025-10 71 6.27%
2025-09 74 6.54%
2025-08 65 5.74%
2025-07 67 5.92%
2025-06 37 3.27%

Active Stores by Launch Year

Currently, 5,844 active stores in Django are tracked in our database , with the most stores launched in 2026 (694 stores still active) . This shows the distribution of currently active stores by their original launch year.

Active Stores by Launch Year

2026 11.9%

694 active stores

2025 13.1%

767 active stores

2024 11.4%

668 active stores

2023 11.1%

649 active stores

2022 7.8%

454 active stores

2021 6.5%

382 active stores

2020 6.7%

389 active stores

2019 3.5%

205 active stores

2018 2.8%

166 active stores

2017 3.1%

180 active stores

2016 1.7%

97 active stores

2015 1.9%

113 active stores

2014 2.1%

120 active stores

2013 2.4%

143 active stores

2012 1.8%

103 active stores

Distribution by Launch Year

Active stores in Django by original launch year (June 2026)
Active stores in Django by launch year
Launch Year Active Stores Percentage
2026 694 11.88%
2025 767 13.12%
2024 668 11.43%
2023 649 11.11%
2022 454 7.77%
2021 382 6.54%
2020 389 6.66%
2019 205 3.51%
2018 166 2.84%
2017 180 3.08%
2016 97 1.66%
2015 113 1.93%
2014 120 2.05%
2013 143 2.45%
2012 103 1.76%

Social Media Usage

Instagram accounts for 30.3% of displayed detection occurrences (2,509 occurrences) , followed by Facebook (29.0%) and YouTube (11.3%) .

Base: 8,275 social-platform detection occurrences in the displayed ranking, from active stores. One store can contribute multiple occurrences. These percentages are not the share of unique stores or all detections.

Links and embeds detected on public pages; private/hidden profiles not counted.

Top 10 Social Platforms

Instagram 30.3%

2,509 occurrences

Facebook 29.0%

2,396 occurrences

YouTube 11.3%

939 occurrences

TikTok 5.7%

475 occurrences

LinkedIn 5.7%

472 occurrences

WhatsApp 5.6%

465 occurrences

Twitter 5.3%

441 occurrences

X 3.5%

287 occurrences

Pinterest 3.4%

282 occurrences

Vimeo 0.1%

9 occurrences

Visual Distribution

Distribution of social media platforms in Django (June 2026)
Distribution of social media platforms in Django e-commerce stores
Social Platform Detection Occurrences Share of Displayed Occurrences
Instagram 2509 30.32%
Facebook 2396 28.95%
YouTube 939 11.35%
TikTok 475 5.74%
LinkedIn 472 5.70%
WhatsApp 465 5.62%
Twitter 441 5.33%
X 287 3.47%
Pinterest 282 3.41%
Vimeo 9 0.11%

Geographic Distribution

Russia stores with 23.0% (1,381 active verified stores) , followed by United States (10.1%) and Spain (7.5%) .

Base: 6,004 active verified stores, including stores with unknown country. Percentages use the full population, not only the displayed countries.

Top 10 Countries

Russia 23.0%

1,381 active verified stores

606 active verified stores

Spain 7.5%

453 active verified stores

273 active verified stores

India 4.4%

266 active verified stores

171 active verified stores

166 active verified stores

135 active verified stores

132 active verified stores

96 active verified stores

Visual Distribution

Geographic distribution of stores using Django (June 2026)
Geographic distribution of stores using Django
Country AI-Verified Store Count Market Share
Russia 1381 23.00%
United States 606 10.09%
Spain 453 7.54%
Brazil 273 4.55%
India 266 4.43%
Ukraine 171 2.85%
Germany 166 2.76%
Netherlands 135 2.25%
United Kingdom 132 2.20%
France 96 1.60%

Data Coverage

Coverage among all domains with this detected signal, including non-active profiles; not just active stores.

Field Rows count Coverage
Website 7.5k 100.00%
Emails 4.1k 53.86%
Phones 4.4k 57.82%
Ecommerce platform 7.2k 95.21%
Couriers 2k 25.97%
Payment Providers 2.2k 29.86%
Categories 5.7k 76.12%
Social Media 4.3k 57.10%

Coverage reflects detectability from public website analysis. Payment providers and shipping carriers are identified from checkout pages and shipping widgets. Stores using off-site payment flows or custom shipping integrations may not be detected. Actual adoption rates are higher than shown.

Market Intelligence

On-demand market analysis

Self-service access to market data and insights

  • Search and segment stores by any criteria
  • API integration for automated workflows
  • Periodic index updates
  • Market sizing and segmentation
Explore segment →

Strategic Intelligence

Custom research and competitive analysis

Tailored intelligence for strategic decisions

  • Custom market reports and analysis
  • Competitive landscape monitoring
  • Direct support from the founder
  • Flexible licensing and enterprise pricing
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Market Intelligence

Understand the Django e-commerce landscape:

Analyze 6k verified e-commerce stores on Django - technology adoption, market share, competitive positioning.

Track Competitive Shifts

Monitor platform migrations, technology adoption, and market share changes across Django e-commerce.

Explore Data

Size Your Addressable Market

Segment stores by country, platform, category, PSP, carrier, technology, and merchant-size signals to quantify your market opportunity.

Explore Data

Monitor Adoption Trends

Identify which payment providers, shipping carriers, and platforms are gaining or losing traction.

Explore Data

Data Access

  • Interactive search and filtering via web app
  • REST API for programmatic access and automation
  • Index updates; historical datasets by agreement

Use Cases

  • Competitive intelligence and market sizing
  • Technology adoption and platform migration analysis
  • Sales prospecting and account-based targeting
  • Investment research and due diligence

Frequently Asked Questions

What data is included in the Django e-commerce intelligence?

We track 6k verified Django e-commerce stores whose profiles can include: e-commerce platform, product counts, categories, payment providers, shipping carriers, technology stack, merchant-size signals, and available business contact fields.

How is the data collected and how often is it updated?

We rebuild the searchable index typically every 2–4 weeks. Observation dates vary by source and field; a rebuild does not mean every website was observed again. This public report has its own publication date and may use an older snapshot than the live catalog. Coverage varies by field and market. A missing payment or carrier signal means we did not detect it, not that the merchant does not use it.

How do I access the data?

Self-service plans give you instant access through our web app and REST API. You can search, filter, and segment stores interactively or integrate programmatically into your workflows. View plans →

Can I filter by specific segments?

Yes. You can segment by country, platform, product category, payment provider, shipping carrier, technology stack, store age, cross-border signals, and merchant-size bands. Some advanced signals are plan-gated, and the same field contract is used by the web app, exports, and API.

Do you offer enterprise or custom licensing?

Yes. For large-scale data needs, custom market reports, or dedicated support, contact us to discuss enterprise pricing.

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