PythonAnywhere Technology Adoption in E-commerce

Discover 85 verified e-commerce stores using PythonAnywhere. Analyze technology adoption, market trends, integration patterns, and business insights.

Detected across 93 domains. 85 verified as active stores with physical delivery.

Verified stores
85
active stores with physical delivery
Top country
India
8 verified stores
Top payment signal
Stripe Connect
8 detection occurrences
Top carrier signal
UPS
5 detection occurrences
Top category
Health & Beauty
15 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.

85 verified active stores out of 93 detected · 91.4% verification rate

E-commerce Platforms Distribution

Custom stores with 100.0% of stores with physical delivery (85 stores) , followed by WooCommerce (0.0%) .

Base: 85 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 100.0%

85 stores

0 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 PythonAnywhere
Platform Stores with Physical Delivery Percentage
Custom 85 100.00%
WooCommerce 0 0.00%
Show broader dataset (all e-commerce signals)

Websites with E-commerce Signals

Custom holds 91.4% share of detected PythonAnywhere e-commerce signals (85) , with WooCommerce at 2.2% (March 2026) .

Base: 93 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 91.4%

85 websites

2 websites

Visual Distribution

Distribution of top 10 platforms by websites with signals (March 2026)
E-commerce platforms distribution for websites with signals in PythonAnywhere
Platform Websites with Signals Percentage
Custom 85 91.40%
WooCommerce 2 2.15%

Categories Distribution

Health & Beauty stores with 17.6% of all stores (15 stores) , followed by Clothing & Accessories (15.3%) and Home & Garden (8.2%) .

Base: 85 active verified stores, including stores without a detected category. Percentages use this full population, not only the displayed categories.

Top 10 Categories

Health & Beauty 17.6%

15 stores

Clothing & Accessories 15.3%

13 stores

Home & Garden 8.2%

7 stores

Food & Beverages 5.9%

5 stores

Electronics & Technology 5.9%

5 stores

Jewelry & Watches 3.5%

3 stores

Vehicles & Parts 2.4%

2 stores

Books & Media 1.2%

1 stores

Arts & Entertainment 1.2%

1 stores

Sporting Goods & Outdoor Gear 1.2%

1 stores

Visual Distribution

Distribution of top 10 PythonAnywhere store categories (March 2026)
Distribution of categories in PythonAnywhere e-commerce stores
Category Number of Stores Percentage
Health & Beauty 15 17.65%
Clothing & Accessories 13 15.29%
Home & Garden 7 8.24%
Food & Beverages 5 5.88%
Electronics & Technology 5 5.88%
Jewelry & Watches 3 3.53%
Vehicles & Parts 2 2.35%
Books & Media 1 1.18%
Arts & Entertainment 1 1.18%
Sporting Goods & Outdoor Gear 1 1.18%

Payment Providers Distribution

Stripe Connect accounts for 40.0% of displayed detection occurrences (8 occurrences) , followed by PayPal (15.0%) and American Express (10.0%) .

Base: 20 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

8 occurrences

PayPal 15.0%

3 occurrences

2 occurrences

BLIK 5.0%

1 occurrences

1 occurrences

1 occurrences

1 occurrences

1 occurrences

Bolt 5.0%

1 occurrences

1 occurrences

Visual Distribution

Distribution of top 10 PythonAnywhere payment providers (March 2026)
Distribution of payment providers in PythonAnywhere e-commerce stores
Payment Provider Detection Occurrences Share of Displayed Occurrences
Stripe Connect 8 40.00%
PayPal 3 15.00%
American Express 2 10.00%
BLIK 1 5.00%
Apple Pay 1 5.00%
MasterCard 1 5.00%
Razorpay 1 5.00%
Klarna 1 5.00%
Bolt 1 5.00%
Giropay 1 5.00%

Shipping Carriers Distribution

UPS accounts for 23.8% of displayed detection occurrences (5 occurrences) , followed by DHL (14.3%) and FedEx (14.3%) .

Base: 21 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

UPS 23.8%

5 occurrences

DHL 14.3%

3 occurrences

FedEx 14.3%

3 occurrences

DPD 9.5%

2 occurrences

DTDC 9.5%

2 occurrences

2 occurrences

1 occurrences

Orlen 4.8%

1 occurrences

1 occurrences

GLS 4.8%

1 occurrences

Visual Distribution

Distribution of top 10 PythonAnywhere shipping carriers (March 2026)
Distribution of shipping carriers in PythonAnywhere e-commerce stores
Shipping Carrier Detection Occurrences Share of Displayed Occurrences
UPS 5 23.81%
DHL 3 14.29%
FedEx 3 14.29%
DPD 2 9.52%
DTDC 2 9.52%
Hermes 2 9.52%
Australia Post 1 4.76%
Orlen 1 4.76%
Delhivery 1 4.76%
GLS 1 4.76%

Store Launch Timeline

Over the past 12 months, 27 new stores were launched in PythonAnywhere , with the highest activity in 2026-02 (1 stores) , demonstrating ongoing growth in the e-commerce market.

Last 12 Months

2026-02 3.7%

1 stores launched

2026-01 11.1%

3 stores launched

2025-12 11.1%

3 stores launched

2025-11 11.1%

3 stores launched

2025-10 14.8%

4 stores launched

2025-09 11.1%

3 stores launched

2025-08 7.4%

2 stores launched

2025-07 11.1%

3 stores launched

2025-06 7.4%

2 stores launched

2025-05 3.7%

1 stores launched

2025-04 3.7%

1 stores launched

2025-03 3.7%

1 stores launched

Monthly Trend

Monthly store launches in PythonAnywhere (March 2026)
Monthly store launches in PythonAnywhere over the past 12 months
Month Stores Launched Percentage
2026-02 1 3.70%
2026-01 3 11.11%
2025-12 3 11.11%
2025-11 3 11.11%
2025-10 4 14.81%
2025-09 3 11.11%
2025-08 2 7.41%
2025-07 3 11.11%
2025-06 2 7.41%
2025-05 1 3.70%
2025-04 1 3.70%
2025-03 1 3.70%

Active Stores by Launch Year

Currently, 78 active stores in PythonAnywhere are tracked in our database , with the most stores launched in 2026 (4 stores still active) . This shows the distribution of currently active stores by their original launch year.

Active Stores by Launch Year

2026 5.1%

4 active stores

2025 32.1%

25 active stores

2024 14.1%

11 active stores

2023 15.4%

12 active stores

2022 7.7%

6 active stores

2021 9.0%

7 active stores

2020 5.1%

4 active stores

2019 2.6%

2 active stores

2015 2.6%

2 active stores

2014 1.3%

1 active stores

2013 1.3%

1 active stores

2012 1.3%

1 active stores

2008 1.3%

1 active stores

2003 1.3%

1 active stores

Distribution by Launch Year

Active stores in PythonAnywhere by original launch year (March 2026)
Active stores in PythonAnywhere by launch year
Launch Year Active Stores Percentage
2026 4 5.13%
2025 25 32.05%
2024 11 14.10%
2023 12 15.38%
2022 6 7.69%
2021 7 8.97%
2020 4 5.13%
2019 2 2.56%
2015 2 2.56%
2014 1 1.28%
2013 1 1.28%
2012 1 1.28%
2008 1 1.28%
2003 1 1.28%

Social Media Usage

Instagram accounts for 35.6% of displayed detection occurrences (37 occurrences) , followed by Facebook (26.0%) and TikTok (10.6%) .

Base: 104 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 35.6%

37 occurrences

Facebook 26.0%

27 occurrences

TikTok 10.6%

11 occurrences

YouTube 7.7%

8 occurrences

LinkedIn 7.7%

8 occurrences

WhatsApp 4.8%

5 occurrences

Twitter 4.8%

5 occurrences

X 2.9%

3 occurrences

Visual Distribution

Distribution of social media platforms in PythonAnywhere (March 2026)
Distribution of social media platforms in PythonAnywhere e-commerce stores
Social Platform Detection Occurrences Share of Displayed Occurrences
Instagram 37 35.58%
Facebook 27 25.96%
TikTok 11 10.58%
YouTube 8 7.69%
LinkedIn 8 7.69%
WhatsApp 5 4.81%
Twitter 5 4.81%
X 3 2.88%

Geographic Distribution

India stores with 9.4% (8 active verified stores) , followed by Canada (5.9%) and Germany (5.9%) .

Base: 85 active verified stores, including stores with unknown country. Percentages use the full population, not only the displayed countries.

Top 10 Countries

India 9.4%

8 active verified stores

5 active verified stores

5 active verified stores

5 active verified stores

5 active verified stores

3 active verified stores

2 active verified stores

2 active verified stores

2 active verified stores

Ghana 2.4%

2 active verified stores

Visual Distribution

Geographic distribution of stores using PythonAnywhere (March 2026)
Geographic distribution of stores using PythonAnywhere
Country AI-Verified Store Count Market Share
India 8 9.41%
Canada 5 5.88%
Germany 5 5.88%
United Kingdom 5 5.88%
United States 5 5.88%
Albania 3 3.53%
Australia 2 2.35%
Nigeria 2 2.35%
Ukraine 2 2.35%
Ghana 2 2.35%

Data Coverage

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

Field Rows count Coverage
Website 93 100.00%
Emails 64 68.82%
Phones 9 9.68%
Ecommerce platform 87 93.55%
Couriers 15 16.13%
Payment Providers 22 23.66%
Categories 56 60.22%
Social Media 48 51.61%

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
Get Enterprise Pricing

Market Intelligence

Understand the PythonAnywhere e-commerce landscape:

Analyze 85 verified e-commerce stores on PythonAnywhere - technology adoption, market share, competitive positioning.

Track Competitive Shifts

Monitor platform migrations, technology adoption, and market share changes across PythonAnywhere 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 PythonAnywhere e-commerce intelligence?

We track 85 verified PythonAnywhere 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.

Unlock full access to ShopRank

Login now to explore merchant intelligence including:
  • Merchant size bands and scoring
  • PSP, carrier, and technology filters
  • Exports, saved lists, and API access
By login to our system you are accepting Terms & conditions and Privacy Policy