Django Technology Adoption in E-commerce

Discover 6.2k verified e-commerce stores using Django. Analyze technology adoption, market trends, integration patterns, and business insights.

Detected across 8.2k domains. 6.2k verified as active stores with physical delivery.

· · Next full refresh: April 2026

6.2k verified active stores out of 8.2k detected · 75.9% verification rate

E-commerce Platforms Distribution

Custom leads with 78.0% of stores with physical delivery (4,813 stores) , followed by OpenTiendas (7.4%) and Booqable (5.9%) .

Note: This distribution covers only stores selling physical products with active shopping carts and physical product shipping. 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 78.0%

4,813 stores

459 stores

363 stores

212 stores

145 stores

51 stores

13 stores

8 stores

8 stores

Visual Distribution

Distribution of top 10 platforms by stores with physical delivery (March 2026)
E-commerce platforms distribution for stores with physical delivery in Django
Platform Stores with Physical Delivery Percentage
Custom 4813 77.98%
OpenTiendas 459 7.44%
Booqable 363 5.88%
Shoppub 212 3.43%
Makane 145 2.35%
Nexaseller E-commerce Platform 75 1.22%
WooCommerce 51 0.83%
eTailPet 13 0.21%
Convertize 8 0.13%
Shopify 8 0.13%
PrestaShop 7 0.11%
29next 7 0.11%
BigCommerce 4 0.06%
Magento 4 0.06%
PPEshop 3 0.05%

Categories Distribution

Clothing & Accessories leads with 16.3% of all stores (902 stores) , followed by Tools & Hardware (13.5%) and Health & Beauty (10.6%) .

Base: 5,525 AI-verified stores with physical delivery and detected product categories (89.3% of all verified stores). Percentages show share of stores within each category.

Top 10 Categories

Clothing & Accessories 16.3%

902 stores

Tools & Hardware 13.5%

748 stores

Health & Beauty 10.6%

584 stores

Home & Garden 8.7%

479 stores

Food & Beverages 8.4%

463 stores

Electronics & Technology 7.4%

411 stores

Business & Industrial 6.5%

358 stores

Sporting Goods & Outdoor Gear 6.2%

340 stores

Gifts & Special Occasions 4.3%

240 stores

Toys & Games 4.2%

231 stores

Visual Distribution

Distribution of top 10 Django store categories (March 2026)
Distribution of categories in Django e-commerce stores
Category Number of Stores Percentage
Clothing & Accessories 902 16.33%
Tools & Hardware 748 13.54%
Health & Beauty 584 10.57%
Home & Garden 479 8.67%
Food & Beverages 463 8.38%
Electronics & Technology 411 7.44%
Business & Industrial 358 6.48%
Sporting Goods & Outdoor Gear 340 6.15%
Gifts & Special Occasions 240 4.34%
Toys & Games 231 4.18%
Vehicles & Parts 202 3.66%
Furniture & Home Decor 191 3.46%
Jewelry & Watches 164 2.97%
Arts & Entertainment 133 2.41%
Pets & Pet Supplies 79 1.43%

Payment Providers Distribution

PayPal leads with 22.4% among AI-verified physical stores (681 stores) , followed by MasterCard (16.8%) and VISA (16.7%) .

Base: 2,051 AI-verified physical stores with detectable payment providers (25.1% coverage of all stores). Percentages show share of detected provider instances (stores may use multiple providers).

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

Top 10 Payment Providers

PayPal 22.4%

681 stores

511 stores

VISA 16.7%

510 stores

225 stores

206 stores

165 stores

164 stores

133 stores

83 stores

JCB 2.7%

81 stores

Visual Distribution

Distribution of top 10 Django payment providers (March 2026)
Distribution of payment providers in Django e-commerce stores
Payment Provider Store Count Market Share
PayPal 681 22.36%
MasterCard 511 16.78%
VISA 510 16.75%
Google Pay 225 7.39%
American Express 206 6.77%
Stripe Connect 165 5.42%
Apple Pay 164 5.39%
Klarna 133 4.37%
Boleto 83 2.73%
JCB 81 2.66%
Bancontact 77 2.53%
QIWI 59 1.94%
Giropay 55 1.81%
Bolt 48 1.58%
WebMoney 47 1.54%

Shipping Carriers Distribution

СДЭК leads with 18.2% among AI-verified physical stores (347 stores) , followed by DHL (10.8%) and Почта России (10.4%) .

Base: 1,838 AI-verified physical stores with detectable shipping carriers (22.5% coverage of all stores). Percentages show share of detected carrier instances (stores may use multiple carriers).

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

Top 10 Shipping Carriers

347 stores

DHL 10.8%

206 stores

199 stores

UPS 10.4%

198 stores

DPD 9.6%

183 stores

USPS 8.1%

154 stores

136 stores

GLS 6.7%

127 stores

Estes 5.0%

95 stores

FedEx 4.7%

89 stores

Visual Distribution

Distribution of top 10 Django shipping carriers (March 2026)
Distribution of shipping carriers in Django e-commerce stores
Shipping Carrier Store Count Market Share
СДЭК 347 18.22%
DHL 206 10.81%
Почта России 199 10.45%
UPS 198 10.39%
DPD 183 9.61%
USPS 154 8.08%
Correios 136 7.14%
GLS 127 6.67%
Estes 95 4.99%
FedEx 89 4.67%
Boxberry 38 1.99%
Royal Mail 37 1.94%
PostNL 36 1.89%
ASM 30 1.57%
Correos 30 1.57%

Store Launch Timeline

Over the past 12 months, 1,113 new stores were launched in Django , with the highest activity in 2026-02 (112 stores) , demonstrating ongoing growth in the e-commerce market.

Last 12 Months

2026-02 10.1%

112 stores launched

2026-01 13.3%

148 stores launched

2025-12 10.2%

113 stores launched

2025-11 9.0%

100 stores launched

2025-10 8.9%

99 stores launched

2025-09 7.5%

84 stores launched

2025-08 8.4%

94 stores launched

2025-07 7.0%

78 stores launched

2025-06 10.0%

111 stores launched

2025-05 7.6%

85 stores launched

2025-04 7.5%

84 stores launched

2025-03 0.4%

5 stores launched

Monthly Trend

Monthly store launches in Django (March 2026)
Monthly store launches in Django over the past 12 months
Month Stores Launched Percentage
2026-02 112 10.06%
2026-01 148 13.30%
2025-12 113 10.15%
2025-11 100 8.98%
2025-10 99 8.89%
2025-09 84 7.55%
2025-08 94 8.45%
2025-07 78 7.01%
2025-06 111 9.97%
2025-05 85 7.64%
2025-04 84 7.55%
2025-03 5 0.45%

Active Stores by Launch Year

Currently, 6,025 active stores in Django are tracked in our database , with the most stores launched in 2026 (262 stores still active) . This shows the distribution of currently active stores by their original launch year.

Active Stores by Launch Year

2026 4.3%

262 active stores

2025 17.1%

1,033 active stores

2024 13.4%

806 active stores

2023 11.2%

675 active stores

2022 7.9%

474 active stores

2021 6.6%

400 active stores

2020 7.2%

436 active stores

2019 3.9%

236 active stores

2018 3.0%

183 active stores

2017 3.2%

191 active stores

2016 1.8%

108 active stores

2015 1.7%

105 active stores

2014 2.0%

119 active stores

2013 2.6%

154 active stores

2012 1.7%

101 active stores

Distribution by Launch Year

Active stores in Django by original launch year (March 2026)
Active stores in Django by launch year
Launch Year Active Stores Percentage
2026 262 4.35%
2025 1033 17.15%
2024 806 13.38%
2023 675 11.20%
2022 474 7.87%
2021 400 6.64%
2020 436 7.24%
2019 236 3.92%
2018 183 3.04%
2017 191 3.17%
2016 108 1.79%
2015 105 1.74%
2014 119 1.98%
2013 154 2.56%
2012 101 1.68%
2011 88 1.46%
2010 93 1.54%
2009 89 1.48%
2008 45 0.75%
2007 60 1.00%
2006 40 0.66%
2005 32 0.53%
2004 47 0.78%
2003 43 0.71%
2002 35 0.58%
2001 53 0.88%
2000 50 0.83%
1999 21 0.35%
1998 22 0.37%
1997 10 0.17%
1996 12 0.20%
1995 2 0.03%

Social Media Usage

Instagram leads with 30.3% among stores with at least one detectable social profile (2,677 stores) , followed by Facebook (29.0%) and YouTube (11.6%) .

Base: 4,684 stores with any detectable social profile (57.4% of all stores). Percentages show share of detected platform instances (stores may use multiple platforms).

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

Top 10 Social Platforms

Instagram 30.3%

2,677 stores

Facebook 29.0%

2,556 stores

YouTube 11.6%

1,021 stores

Twitter 6.8%

598 stores

LinkedIn 5.8%

511 stores

WhatsApp 5.1%

450 stores

TikTok 5.1%

446 stores

Pinterest 3.5%

306 stores

X 2.8%

244 stores

Vimeo 0.2%

14 stores

Visual Distribution

Distribution of social media platforms in Django (March 2026)
Distribution of social media platforms in Django e-commerce stores
Social Platform Store Count Market Share
Instagram 2677 30.34%
Facebook 2556 28.97%
YouTube 1021 11.57%
Twitter 598 6.78%
LinkedIn 511 5.79%
WhatsApp 450 5.10%
TikTok 446 5.05%
Pinterest 306 3.47%
X 244 2.77%
Vimeo 14 0.16%

Geographic Distribution

Russia leads with 27.5% (1,176 AI-verified stores) , followed by United States (16.1%) and Brazil (6.6%) .

Base: 4,270 AI-verified stores across 20 countries. Percentages show share among AI-verified stores.

Top 10 Countries

Russia 27.5%

1,176 AI-verified stores

687 AI-verified stores

282 AI-verified stores

Spain 6.4%

273 AI-verified stores

India 5.8%

247 AI-verified stores

192 AI-verified stores

183 AI-verified stores

148 AI-verified stores

137 AI-verified stores

130 AI-verified stores

Visual Distribution

Geographic distribution of stores using Django (March 2026)
Geographic distribution of stores using Django
Country AI-Verified Store Count Market Share
Russia 1176 27.54%
United States 687 16.09%
Brazil 282 6.60%
Spain 273 6.39%
India 247 5.78%
Germany 192 4.50%
Ukraine 183 4.29%
Netherlands 148 3.47%
United Kingdom 137 3.21%
Turkey 130 3.04%
France 121 2.83%
Italy 105 2.46%
Switzerland 91 2.13%
Nigeria 80 1.87%
Portugal 78 1.83%
South Africa 75 1.76%
Bangladesh 74 1.73%
Czechia 70 1.64%
Canada 62 1.45%
Poland 59 1.38%

Data Coverage

Field Rows count Coverage
Website 8.2k 100.00%
Emails 4.4k 53.33%
Phones 2.2k 26.39%
Ecommerce platform 7.8k 95.56%
Couriers 1.8k 22.53%
Payment Providers 2.1k 25.14%
Categories 5.9k 72.47%
Social Media 4.7k 57.42%

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

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Self-service access to market data and insights

  • Search and segment stores by any criteria
  • API integration for automated workflows
  • Monthly data refreshes
  • Market sizing and segmentation
Analyze Market →

Strategic Intelligence

Custom research and competitive analysis

Tailored intelligence for strategic decisions

  • Custom market reports and analysis
  • Competitive landscape monitoring
  • Dedicated analyst support
  • Flexible licensing and enterprise pricing
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Market Intelligence

Understand the Django e-commerce landscape:

Analyze 6.2k 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 platform, category, traffic tier, and payment infrastructure 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
  • Monthly data refreshes with historical tracking

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 6.2k verified Django e-commerce stores with 50+ data points per store: e-commerce platform, product counts, categories, payment providers, shipping carriers, estimated traffic, technology stack, and verified business contacts.

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

We continuously crawl 300M+ domains using proprietary web crawlers, AI classification, and technology fingerprinting. The database is refreshed monthly, so you always work with current market data.

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, store size, product category, payment provider, shipping carrier, traffic tier, and more. All filtering is available through both the web app 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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