Introducing G2.ai, the future of software buying.Try now
Compare PythonAnywhere and Vercel 
Featured Products
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
TwicPics
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Hostman
Visit Website
At a Glance
Market Segments
Small-Business (46.7% of reviews)
Small-Business (82.2% of reviews)
Entry-Level Pricing
No pricing available
Free
PythonAnywhere
Star Rating
(77)4.4 out of 5
Market Segments
Small-Business (46.7% of reviews)
Entry-Level Pricing
No pricing available
Learn more about PythonAnywhereVercel
Star Rating
(46)4.7 out of 5
Market Segments
Small-Business (82.2% of reviews)
Entry-Level Pricing
Free
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that PythonAnywhere excels in static content caching with a score of 9.4, making it a preferred choice for those who prioritize speed and efficiency in serving static assets. In contrast, Vercel also scores well in this area but shines more in dynamic content routing, achieving a perfect score of 10.0, which is crucial for applications that require real-time data updates.
- Reviewers mention that Vercel's deployment-ready staging feature, rated at 9.8, allows for seamless testing before going live, which is a significant advantage for teams that need to ensure quality control. PythonAnywhere, while strong in deployment, does not match this level of staging functionality.
- G2 users highlight Vercel's superior ease of setup, scoring a perfect 10.0, which is particularly beneficial for developers looking to get started quickly. PythonAnywhere, with a score of 8.9, is still user-friendly but may require a bit more time to configure initially.
- Users on G2 report that Vercel's application deployment capabilities are rated at 9.8, making it a robust option for developers who need reliable and efficient deployment processes. PythonAnywhere, with a score of 8.6, offers solid deployment features but lacks some of the advanced capabilities that Vercel provides.
- Reviewers mention that Vercel's auto-scaling feature, rated at 9.4, is a game-changer for applications experiencing variable traffic, ensuring that resources are allocated efficiently. PythonAnywhere, with a score of 8.2, does not offer the same level of scalability, which could be a limitation for growing applications.
- Users say that Vercel's security features, including SSL and custom SSL options, are rated highly at 9.2, providing peace of mind for businesses concerned about data protection. PythonAnywhere also offers SSL but does not match the comprehensive security ratings of Vercel.
Pricing
Entry-Level Pricing
PythonAnywhere
No pricing availableVercel
Hobby
Free
For personal or non-commercial projects.
- Deploy from CLI or personal git integrations
- Built-in CI/CD
- Automatic HTTPS/SSL
Free Trial
PythonAnywhere
No trial information availableVercel
Free Trial is available
Ratings
Meets Requirements
8.7
64
9.5
39
Ease of Use
8.7
64
9.8
39
Ease of Setup
8.9
6
10.0
24
Ease of Admin
8.9
6
9.7
12
Quality of Support
8.4
59
8.6
35
Has the product been a good partner in doing business?
8.6
6
9.2
11
Product Direction (% positive)
9.1
67
9.4
36
Features by Category
Content
Not enough data
9.4
13
Not enough data
9.5
13
Not enough data
9.4
12
Agentic AI - Content Delivery Network (CDN)
Not enough data
Not enough data
Security
Not enough data
10.0
12
Not enough data
9.3
10
Management
Not enough data
9.7
13
Not enough data
8.9
12
Not enough data
8.2
12
Integration
Not enough data
8.9
12
Not enough data
9.1
11
Functionality
Not enough data
9.5
22
Not enough data
9.5
21
Not enough data
Feature Not Available
Management
Not enough data
9.4
21
Not enough data
Feature Not Available
Not enough data
9.6
22
Agentic AI - Continuous Delivery
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
9.0
16
Not enough data
9.2
16
Not enough data
9.8
16
Management
Not enough data
Feature Not Available
Not enough data
9.6
16
Not enough data
Feature Not Available
Support
Not enough data
8.2
13
Not enough data
7.9
13
Not enough data
8.9
15
Development
8.6
48
9.8
22
8.7
52
9.5
22
8.7
51
9.8
22
8.6
48
9.2
22
8.1
49
8.9
21
Database
8.2
45
9.0
18
8.0
44
8.7
19
8.2
47
9.4
20
8.1
45
8.4
21
8.2
49
8.9
19
Infrastructure
8.2
48
9.3
20
8.0
50
7.9
19
8.4
47
9.3
21
Categories
Categories
Shared Categories
PythonAnywhere and Vercel are categorized as Cloud Platform as a Service (PaaS)
Unique Categories
PythonAnywhere has no unique categories
Reviews
Reviewers' Company Size
PythonAnywhere
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Vercel
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Education Management
25.3%
Computer Software
22.7%
Information Technology and Services
20.0%
Higher Education
4.0%
Computer & Network Security
4.0%
Other
24.0%
Information Technology and Services
35.6%
Computer Software
26.7%
Education Management
6.7%
Marketing and Advertising
4.4%
Writing and Editing
2.2%
Other
24.4%
Discussions
What companies use PythonAnywhere?
1 Comment
P
Tech-based Companies use such web-based application for their codes.Read more
PythonAnywhere has no more discussions with answers
Is Vercel any good?
1 Comment
TN
Vercel's integration with Git makes it convenient for developers to streamline their workflow. Furthermore, its user-friendly interface makes it accessible...Read more
Vercel has no more discussions with answers
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
