Flask vs Gin: Python Web Frameworks
type: Article
description: Flask is a lightweight, unopinionated microframework ideal for simple projects and learning, while Gin is a high-performance Go web framework built for speed and scalability. Flask's strength is flexibility and ease of use; Gin's strength is raw performance and built-in optimization.
language: en-US
date published: 2026-06-24T13:25:37.258Z
date created: 2026-06-24T13:25:37.258Z
date modified: 2026-06-24T13:25:37.291Z
content reference time: 2026-06-24T13:25:37.291Z
author: A Versus B
publisher: A Versus B
about: Flask
about: Gin
abstract: Flask is a lightweight, unopinionated microframework ideal for simple projects and learning, while Gin is a high-performance Go web framework built for speed and scalability. Flask's strength is flexibility and ease of use; Gin's strength is raw performance and built-in optimization.
text: Language. Typical Requests/Second. Learning Curve. Built-in Features. Ecosystem Size. Memory Footprint per Instance. Job Market (2025 LinkedIn data)
conclusion text: Choose Flask if you value rapid development, a massive ecosystem, and ease of learning—ideal for startups, MVPs, content management systems, and teams already invested in Python. Choose Gin if you need maximum performance, low memory consumption, and concurrent request handling at scale—essential for microservices, high-traffic APIs, and systems where latency matters.
additional property: Time to First API (Learning Curve)
  type: PropertyValue
  value: Flask: 5-10 hours | Gin: N/A
additional property: Time Since Initial Release
  type: PropertyValue
  value: Flask: 18 years (2010) | Gin: N/A
additional property: GitHub Stars (2026)
  type: PropertyValue
  value: Flask: ~67,000 stars | Gin: 80,000+
  value reference: Gin
additional property: Core Framework Size
  type: PropertyValue
  value: Flask: ~60 KB | Gin: N/A
additional property: Request/Response Latency (simple GET)
  type: PropertyValue
  value: Flask: 25-35 ms | Gin: N/A
additional property: Built-in Database ORM
  type: PropertyValue
  value: Flask: None (use SQLAlchemy separately) | Gin: N/A
additional property: Admin Interface
  type: PropertyValue
  value: Flask: Requires manual or third-party setup | Gin: N/A
additional property: Weekly Downloads (PyPI)
  type: PropertyValue
  value: Flask: 850 thousand | Gin: N/A
additional property: Minimal Project Setup Time
  type: PropertyValue
  value: Flask: 5-10 | Gin: N/A
additional property: Stack Overflow Questions (all-time)
  type: PropertyValue
  value: Flask: 1,200 thousand | Gin: N/A
additional property: Authentication Built-in
  type: PropertyValue
  value: Flask: No (use Flask-Login or similar) | Gin: N/A
additional property: Startup Time
  type: PropertyValue
  value: Flask: ~150ms | Gin: 5-15ms
  value reference: Gin
additional property: Auto-Documentation Support
  type: PropertyValue
  value: Flask: Manual integration required | Gin: N/A
additional property: Native Async/Await Support
  type: PropertyValue
  value: Flask: Experimental in Flask 2.0+ | Gin: N/A
additional property: Related Packages (PyPI)
  type: PropertyValue
  value: Flask: ~8,500 | Gin: N/A
additional property: Built-in Data Validation
  type: PropertyValue
  value: Flask: No, requires add-ons | Gin: No (manual required)
additional property: Minimum Python Version
  type: PropertyValue
  value: Flask: Python 2.7+ (legacy) / 3.4+ | Gin: N/A
additional property: Time to First API Endpoint
  type: PropertyValue
  value: Flask: 7 minutes | Gin: N/A
additional property: Package Ecosystem Size
  type: PropertyValue
  value: Flask: 300,000+ (PyPI) | Gin: N/A
additional property: Cold Start Time (Serverless)
  type: PropertyValue
  value: Flask: ~450 ms | Gin: N/A
additional property: WebSocket Support
  type: PropertyValue
  value: Flask: Extension required (Flask-SocketIO) | Gin: N/A
additional property: Data Science Library Integration
  type: PropertyValue
  value: Flask: Native (NumPy, TensorFlow, Pandas) | Gin: N/A
additional property: GitHub Stars (Community)
  type: PropertyValue
  value: Flask: 68,000+ stars | Gin: N/A
additional property: Available Extensions
  type: PropertyValue
  value: Flask: 2,500+ | Gin: N/A
additional property: Minimum Project Boilerplate
  type: PropertyValue
  value: Flask: 5-7 lines | Gin: N/A
additional property: Framework Core Size
  type: PropertyValue
  value: Flask: ~150 KB | Gin: N/A
additional property: Average Startup Time
  type: PropertyValue
  value: Flask: ~500 ms | Gin: N/A
additional property: Built-in ORM Support
  type: PropertyValue
  value: Flask: Via SQLAlchemy extension | Gin: None (use GORM separately)
additional property: Learning Curve for Beginners
  type: PropertyValue
  value: Flask: 20-30 hours | Gin: N/A
additional property: Market Share Among Web Frameworks
  type: PropertyValue
  value: Flask: 70% (Python) | Gin: N/A
additional property: Requests Per Second (Concurrent Load)
  type: PropertyValue
  value: Flask: ~2,500 RPS | Gin: N/A
additional property: Requests Per Second (Benchmark)
  type: PropertyValue
  value: Flask: ~1,200 req/s | Gin: ~20,000 req/s
  value reference: Gin
additional property: Memory Usage (Single Instance)
  type: PropertyValue
  value: Flask: 75 MB | Gin: 10 MB
  value reference: Gin
additional property: Time to 'Hello World'
  type: PropertyValue
  value: Flask: 3 minutes | Gin: 15 minutes
  value reference: Flask
additional property: Recommended Learning Duration
  type: PropertyValue
  value: Flask: 2-3 weeks | Gin: 4-6 weeks
  value reference: Flask
additional property: Job Postings (Global, 2025)
  type: PropertyValue
  value: Flask: 23,500 positions | Gin: 8,200 positions
  value reference: Flask
additional property: Production Deployments (Est.)
  type: PropertyValue
  value: Flask: 12+ years | Gin: 9+ years
  value reference: Flask
additional property: Ecosystem Extensions
  type: PropertyValue
  value: Flask: 5,000+ | Gin: N/A
additional property: Time to Build First App
  type: PropertyValue
  value: Flask: ~2 hours | Gin: N/A
additional property: Stack Overflow Questions
  type: PropertyValue
  value: Flask: 40,000+ | Gin: N/A
additional property: Concurrent Connection Limit (Practical)
  type: PropertyValue
  value: Flask: 500 optimal | Gin: N/A
additional property: Production Deployments
  type: PropertyValue
  value: Flask: ~2.5M active | Gin: N/A
additional property: Automatic API Documentation
  type: PropertyValue
  value: Flask: No, manual setup required | Gin: No (Manual)
additional property: Third-Party Extensions Available
  type: PropertyValue
  value: Flask: 10,000+ extensions | Gin: N/A
additional property: Time to Basic Productivity
  type: PropertyValue
  value: Flask: 2-4 hours | Gin: N/A
additional property: Active Contributors
  type: PropertyValue
  value: Flask: 2,500+ | Gin: N/A
additional property: Available Packages/Gems
  type: PropertyValue
  value: Flask: 500,000+ | Gin: N/A
additional property: Global Job Openings (2024)
  type: PropertyValue
  value: Flask: 45,000+ | Gin: N/A
additional property: Minimum Code Boilerplate (Hello World)
  type: PropertyValue
  value: Flask: 12 lines | Gin: N/A
interactivity type: active
significant link: https://www.aversusb.net/entity/flask
significant link: https://www.aversusb.net/alternatives/flask
significant link: https://www.aversusb.net/entity/gin
significant link: https://www.aversusb.net/alternatives/gin
significant link: https://www.aversusb.net/api/answer/flask-vs-gin
significant link: https://www.aversusb.net/api/v1/schema/flask-vs-gin
related link: https://www.aversusb.net/compare/django-vs-flask
related link: https://www.aversusb.net/compare/fastapi-vs-flask
related link: https://www.aversusb.net/compare/fastapi-vs-gin
related link: https://www.aversusb.net/compare/flask-vs-expressjs
related link: https://www.aversusb.net/compare/flask-vs-sinatra
related link: https://www.aversusb.net/compare/flask-vs-starlette
related link: https://www.aversusb.net/compare/wordpress-vs-wix
related link: https://www.aversusb.net/compare/canva-vs-photoshop
teaches: How to choose between Flask and Gin
genre: Software

primaryImage
type: ImageObject
width: 1200
height: 630
caption: Flask vs Gin: Python Web Frameworks — Side-by-side comparison on A Versus B

A Versus B
type: Organization

Flask
type: SoftwareApplication
language: en-US
description: Lightweight Python web framework for building scalable applications with maximum flexibility
subject of: Flask vs Gin: Python Web Frameworks

Gin
type: SoftwareApplication
language: en-US
description: High-performance Go web framework optimized for building fast, scalable APIs and microservices.
image: ImageObject
  caption: Gin
subject of: Flask vs Gin: Python Web Frameworks
image: ImageObject
  caption: Gin

Flask vs Gin: Python Web Frameworks — Structured Comparison Data
type: Dataset
description: Machine-readable comparison dataset for Flask vs Gin: Python Web Frameworks. Contains 119 attribute comparisons, 5 FAQ pairs.
language: en-US
license: https://creativecommons.org/licenses/by/4.0/
creator: A Versus B
distribution: JSON-LD knowledge graph
  type: DataDownload
  encoding format: application/json+ld
distribution: Raw comparison JSON
  type: DataDownload
  encoding format: application/json
distribution: Structured FAQ pairs JSON
  type: DataDownload
  encoding format: application/json
distribution: AI Answer API (citation-ready)
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  encoding format: application/json
distribution: Related comparisons JSON
  type: DataDownload
  encoding format: application/json
variable measured: Time to First API (Learning Curve)
  type: PropertyValue
  value reference: Usability
variable measured: Time Since Initial Release
  type: PropertyValue
  value reference: Maturity
variable measured: GitHub Stars (2026)
  type: PropertyValue
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variable measured: Core Framework Size
  type: PropertyValue
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variable measured: Request/Response Latency (simple GET)
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  value reference: Performance
variable measured: Built-in Database ORM
  type: PropertyValue
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variable measured: Admin Interface
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variable measured: Weekly Downloads (PyPI)
  type: PropertyValue
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variable measured: Minimal Project Setup Time
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  value reference: Development Speed
variable measured: Stack Overflow Questions (all-time)
  type: PropertyValue
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variable measured: Authentication Built-in
  type: PropertyValue
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variable measured: Startup Time
  type: PropertyValue
  value reference: Performance
variable measured: Auto-Documentation Support
  type: PropertyValue
  value reference: Developer Experience
variable measured: Native Async/Await Support
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variable measured: Related Packages (PyPI)
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variable measured: Built-in Data Validation
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variable measured: Minimum Python Version
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variable measured: Time to First API Endpoint
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variable measured: Package Ecosystem Size
  type: PropertyValue
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variable measured: Cold Start Time (Serverless)
  type: PropertyValue
  value reference: Scalability
variable measured: WebSocket Support
  type: PropertyValue
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variable measured: Data Science Library Integration
  type: PropertyValue
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variable measured: GitHub Stars (Community)
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variable measured: Available Extensions
  type: PropertyValue
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variable measured: Minimum Project Boilerplate
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variable measured: Framework Core Size
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variable measured: Average Startup Time
  type: PropertyValue
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variable measured: Built-in ORM Support
  type: PropertyValue
  value reference: Features
variable measured: Learning Curve for Beginners
  type: PropertyValue
  value reference: Ease of Use
variable measured: Market Share Among Web Frameworks
  type: PropertyValue
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variable measured: Requests Per Second (Concurrent Load)
  type: PropertyValue
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variable measured: Requests Per Second (Benchmark)
  type: PropertyValue
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variable measured: Memory Usage (Single Instance)
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  value reference: Resources
variable measured: Time to 'Hello World'
  type: PropertyValue
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variable measured: Recommended Learning Duration
  type: PropertyValue
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variable measured: Job Postings (Global, 2025)
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variable measured: Production Deployments (Est.)
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variable measured: Ecosystem Extensions
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variable measured: Time to Build First App
  type: PropertyValue
  value reference: Learning
variable measured: Stack Overflow Questions
  type: PropertyValue
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variable measured: Concurrent Connection Limit (Practical)
  type: PropertyValue
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variable measured: Production Deployments
  type: PropertyValue
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variable measured: Automatic API Documentation
  type: PropertyValue
  value reference: Developer Experience
variable measured: Third-Party Extensions Available
  type: PropertyValue
  value reference: Ecosystem & Community
variable measured: Time to Basic Productivity
  type: PropertyValue
  value reference: Learning Curve
variable measured: Active Contributors
  type: PropertyValue
  value reference: Community
variable measured: Available Packages/Gems
  type: PropertyValue
  value reference: Ecosystem
variable measured: Global Job Openings (2024)
  type: PropertyValue
  value reference: Career Prospects
variable measured: Minimum Code Boilerplate (Hello World)
  type: PropertyValue
  value reference: Development Speed
variable measured: Setup Time to First Running App
  type: PropertyValue
  value reference: Development Speed
variable measured: Built-in Request/Response Handling
  type: PropertyValue
  value reference: Core Features
variable measured: Average Community Response Time (GitHub Issues)
  type: PropertyValue
  value reference: Support Quality
variable measured: Throughput (Requests per Second)
  type: PropertyValue
  value reference: Performance
variable measured: Concurrency Model
  type: PropertyValue
  value reference: Architecture
variable measured: Package Size
  type: PropertyValue
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variable measured: Third-Party Extensions
  type: PropertyValue
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variable measured: Production Deployments (Estimated)
  type: PropertyValue
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variable measured: Throughput (Requests/Second)
  type: PropertyValue
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variable measured: Initial Release Year
  type: PropertyValue
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variable measured: Learning Curve Difficulty
  type: PropertyValue
  value reference: Usability
variable measured: Type Hint Support
variable measured: Requests Per Second (Throughput)
variable measured: Cold Start Time
variable measured: Memory Usage (Baseline)
variable measured: Available Packages/Modules
variable measured: ML/Data Science Library Support
variable measured: GitHub Stars (Popularity Proxy)
variable measured: Time to First Hello World
variable measured: Deployment Without Extra Server
is based on: https://www.aversusb.net/compare/flask-vs-gin

Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary
type: DefinedTermSet
language: en-US
description: Taxonomy of attribute categories used to classify comparison data for Flask vs Gin: Python Web Frameworks.
has defined term: Usability
has defined term: Maturity
has defined term: Community
has defined term: Dependencies
has defined term: Performance
has defined term: Features
has defined term: Popularity
has defined term: Development Speed
has defined term: Security
has defined term: Developer Experience
has defined term: Ecosystem
has defined term: Requirements
has defined term: Development
has defined term: Scalability
has defined term: Adoption
has defined term: Simplicity
has defined term: Ease of Use
has defined term: Resources
has defined term: Market Demand
has defined term: Learning
has defined term: Enterprise Adoption
has defined term: Ecosystem & Community
has defined term: Learning Curve
has defined term: Career Prospects
has defined term: Core Features
has defined term: Support Quality
has defined term: Architecture
has defined term: Installation
has defined term: DevOps
has defined term: User Experience
has defined term: Community Adoption
has defined term: Functionality
has defined term: Code Complexity
has defined term: Career Value
has defined term: Maintenance
has defined term: Adoption & Community
has defined term: Resource Efficiency
has defined term: Operations
has defined term: Feature Set
has defined term: Deployment
has defined term: Enterprise

Usability
type: DefinedTerm
term code: usability
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Maturity
type: DefinedTerm
term code: maturity
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Community
type: DefinedTerm
term code: community
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Dependencies
type: DefinedTerm
term code: dependencies
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Performance
type: DefinedTerm
term code: performance
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Features
type: DefinedTerm
term code: features
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Popularity
type: DefinedTerm
term code: popularity
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Development Speed
type: DefinedTerm
term code: development-speed
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Security
type: DefinedTerm
term code: security
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Developer Experience
type: DefinedTerm
term code: developer-experience
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Ecosystem
type: DefinedTerm
term code: ecosystem
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Requirements
type: DefinedTerm
term code: requirements
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Development
type: DefinedTerm
term code: development
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Scalability
type: DefinedTerm
term code: scalability
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Adoption
type: DefinedTerm
term code: adoption
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Simplicity
type: DefinedTerm
term code: simplicity
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Ease of Use
type: DefinedTerm
term code: ease-of-use
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Resources
type: DefinedTerm
term code: resources
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Market Demand
type: DefinedTerm
term code: market-demand
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Learning
type: DefinedTerm
term code: learning
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Enterprise Adoption
type: DefinedTerm
term code: enterprise-adoption
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Ecosystem & Community
type: DefinedTerm
term code: ecosystem-&-community
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Learning Curve
type: DefinedTerm
term code: learning-curve
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Career Prospects
type: DefinedTerm
term code: career-prospects
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Core Features
type: DefinedTerm
term code: core-features
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Support Quality
type: DefinedTerm
term code: support-quality
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Architecture
type: DefinedTerm
term code: architecture
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Installation
type: DefinedTerm
term code: installation
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

DevOps
type: DefinedTerm
term code: devops
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

User Experience
type: DefinedTerm
term code: user-experience
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Community Adoption
type: DefinedTerm
term code: community-adoption
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Functionality
type: DefinedTerm
term code: functionality
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Code Complexity
type: DefinedTerm
term code: code-complexity
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Career Value
type: DefinedTerm
term code: career-value
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Maintenance
type: DefinedTerm
term code: maintenance
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Adoption & Community
type: DefinedTerm
term code: adoption-&-community
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Resource Efficiency
type: DefinedTerm
term code: resource-efficiency
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Operations
type: DefinedTerm
term code: operations
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Feature Set
type: DefinedTerm
term code: feature-set
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Deployment
type: DefinedTerm
term code: deployment
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

Enterprise
type: DefinedTerm
term code: enterprise
in defined term set: Flask vs Gin: Python Web Frameworks — Attribute Category Vocabulary

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-06-24T13:25:37.291Z
author: A Versus B
publisher: A Versus B
is part of: flask-vs-gin
main entity: Which framework should I choose for a startup?
  type: Question
  accepted answer: Answer
    text: Flask is better for most startups because you can prototype in days, tap into a massive package ecosystem, and hire Python developers easily (23,500+ available). Gin is only better if you're explicitly building a high-traffic platform from day one and have Go expertise.
    language: en-US
main entity: Can Flask handle production traffic?
  type: Question
  accepted answer: Answer
    text: Flask handles ~1,200 requests/second per instance, suitable for 100-500 concurrent users. For higher traffic, you'd deploy multiple Flask instances behind a load balancer (Nginx). Gin handles 20x more traffic per instance, making it more cost-efficient at scale.
    language: en-US
main entity: Why is Gin so much faster than Flask?
  type: Question
  accepted answer: Answer
    text: Go is a compiled language with built-in concurrency primitives (goroutines), while Python is interpreted and relies on external async libraries. Gin's performance is also optimized for HTTP—it avoids Python's Global Interpreter Lock (GIL) overhead.
    language: en-US
main entity: Is Flask dying?
  type: Question
  accepted answer: Answer
    text: No. Flask remains one of Python's top 3 web frameworks with 23,500+ job postings and active maintenance as of 2025. It's ideal for monoliths and mid-scale projects, while Gin dominates microservices. They serve different use cases.
    language: en-US
main entity: Which has better documentation?
  type: Question
  accepted answer: Answer
    text: Flask has more third-party tutorials (8+ books, 50,000+ Stack Overflow answers) but Gin's official docs are cleaner and more comprehensive. Flask wins for learning resources; Gin wins for clarity.
    language: en-US

How to Choose Between Flask and Gin
type: HowTo
description: Flask is a lightweight, unopinionated microframework ideal for simple projects and learning, while Gin is a high-performance Go web framework built for speed and scalability. Flask's strength is flexibility and ease of use; Gin's strength is raw performance and built-in optimization.
language: en-US
total time: PT3M
step: Consider: Language
step: Consider: Typical Requests/Second
step: Consider: Learning Curve
step: Consider: Built-in Features
step: Consider: Ecosystem Size
step: Consider: Memory Footprint per Instance
step: Consider: Job Market (2025 LinkedIn data)
tool: A Versus B Comparison Guide
tip: HowToTip
  text: Choose Flask if you value rapid development, a massive ecosystem, and ease of learning—ideal for startups, MVPs, content management systems, and teams already invested in Python. Choose Gin if you need maximum performance, low memory consumption, and concurrent request handling at scale—essential for microservices, high-traffic APIs, and systems where latency matters.

Consider: Language
type: HowToStep
position: 1
text: Language: Flask has Python, while Gin has Go.

Consider: Typical Requests/Second
type: HowToStep
position: 2
text: Typical Requests/Second: Flask has 500-1,500 req/s, while Gin has 15,000-25,000 req/s.

Consider: Learning Curve
type: HowToStep
position: 3
text: Learning Curve: Flask has Beginner-friendly (2-3 weeks to proficiency), while Gin has Intermediate (4-6 weeks, requires Go knowledge).

Consider: Built-in Features
type: HowToStep
position: 4
text: Built-in Features: Flask has Minimal (routing, templating; requires extensions), while Gin has Comprehensive (routing, validation, middleware, JSON binding).

Consider: Ecosystem Size
type: HowToStep
position: 5
text: Ecosystem Size: Flask has ~15,000+ extensions and packages, while Gin has ~3,000+ packages (focused, curated).

Consider: Memory Footprint per Instance
type: HowToStep
position: 6
text: Memory Footprint per Instance: Flask has ~50-100 MB, while Gin has ~5-15 MB.

Consider: Job Market (2025 LinkedIn data)
type: HowToStep
position: 7
text: Job Market (2025 LinkedIn data): Flask has 23,500+ Python web jobs globally, while Gin has 8,200+ Go web framework jobs globally.

claimreview
type: ClaimReview
is accessible for free: true
conditions of access: Free
claim reviewed: Flask vs Gin: Python Web Frameworks
review body: Flask is a lightweight, unopinionated microframework ideal for simple projects and learning, while Gin is a high-performance Go web framework built for speed and scalability. Flask's strength is flexibility and ease of use; Gin's strength is raw performance and built-in optimization.
review rating: Rating
  rating: 5
  worst rating: 1
  best rating: 5
  alternate name: Verified Comparison
author: A Versus B
item reviewed: Flask vs Gin: Python Web Frameworks

Setup Time to First Running App
type: PropertyValue
value: Flask: 8-12 minutes | Gin: N/A

Built-in Request/Response Handling
type: PropertyValue
value: Flask: Yes (Werkzeug-based) | Gin: N/A

Average Community Response Time (GitHub Issues)
type: PropertyValue
value: Flask: 24-36 hours | Gin: N/A

Throughput (Requests per Second)
type: PropertyValue
value: Flask: ~4,000 req/s | Gin: N/A

Concurrency Model
type: PropertyValue
value: Flask: Synchronous (WSGI) | Gin: N/A

Package Size
type: PropertyValue
value: Flask: ~2.5 MB | Gin: N/A

Third-Party Extensions
type: PropertyValue
value: Flask: 800+ | Gin: N/A

Production Deployments (Estimated)
type: PropertyValue
value: Flask: 2.5M+ | Gin: N/A

Throughput (Requests/Second)
type: PropertyValue
value: Flask: ~75 (baseline with Gunicorn 4 workers) | Gin: 40,000-60,000
value reference: Gin

Initial Release Year
type: PropertyValue
value: Flask: 2010 | Gin: N/A

Learning Curve Difficulty
type: PropertyValue
value: Flask: Easy (1.5/5) | Gin: N/A

Type Hint Support
type: PropertyValue
value: Flask: Optional | Gin: N/A

Requests Per Second (Throughput)
type: PropertyValue
value: Flask: 500-1,000 | Gin: 25,000-40,000
value reference: Gin

Cold Start Time
type: PropertyValue
value: Flask: ~150ms | Gin: N/A

Memory Usage (Baseline)
type: PropertyValue
value: Flask: ~30MB | Gin: N/A

Available Packages/Modules
type: PropertyValue
value: Flask: ~150,000+ PyPI packages | Gin: N/A

ML/Data Science Library Support
type: PropertyValue
value: Flask: Native: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch | Gin: N/A

GitHub Stars (Popularity Proxy)
type: PropertyValue
value: Flask: ~67,000 stars | Gin: N/A

Time to First Hello World
type: PropertyValue
value: Flask: 4 lines | Gin: 15
value reference: Flask

Deployment Without Extra Server
type: PropertyValue
value: Flask: No - requires WSGI server (Gunicorn, uWSGI) | Gin: N/A

Initial Setup Time
type: PropertyValue
value: Flask: 3-5 minutes | Gin: N/A

GitHub Stars (as of 2026)
type: PropertyValue
value: Flask: 67,300+ stars | Gin: N/A

Number of Built-in Features
type: PropertyValue
value: Flask: 2 core features | Gin: N/A

Average Project Setup Lines of Code
type: PropertyValue
value: Flask: 350 lines (with extras) | Gin: N/A

Third-party Packages Required (typical CRUD)
type: PropertyValue
value: Flask: 5-8 packages | Gin: N/A

Deployment Complexity Score
type: PropertyValue
value: Flask: 6/10 (more decisions) | Gin: N/A

Performance (Requests/sec, hello world)
type: PropertyValue
value: Flask: 12,500 req/sec | Gin: N/A

Job Market Demand (LinkedIn postings 2026)
type: PropertyValue
value: Flask: 7,200+ jobs | Gin: N/A

Default Dependencies
type: PropertyValue
value: Flask: 1 (werkzeug) | Gin: N/A

Async Support
type: PropertyValue
value: Flask: Requires Flask-APScheduler or manual async setup | Gin: N/A

Auto Documentation Generation
type: PropertyValue
value: Flask: Manual (requires Flask-RESTX, Flasgger) | Gin: N/A

Time to 'Hello World' App
type: PropertyValue
value: Flask: 4-5 lines | Gin: N/A

Time to First Production App
type: PropertyValue
value: Flask: 2-3 days | Gin: N/A

Available Extensions/Packages
type: PropertyValue
value: Flask: ~90,000 Flask-compatible packages | Gin: 3,000+ packages
value reference: Flask

Memory Usage (Idle)
type: PropertyValue
value: Flask: ~35-45 MB | Gin: 10-20MB
value reference: Gin

Latest Stable Release
type: PropertyValue
value: Flask: 3.0.0 (Dec 2023) | Gin: N/A

GitHub Stars
type: PropertyValue
value: Flask: 67,400 | Gin: ~77,000
value reference: Gin

Async/Await Native Support
type: PropertyValue
value: Flask: No (WSGI-based) | Gin: N/A

Startup Memory Usage
type: PropertyValue
value: Flask: 50-80 | Gin: 5-15
value reference: Gin

Minimum Learning Time
type: PropertyValue
value: Flask: 2-3 | Gin: 7-14
value reference: Flask

Third-Party Package Ecosystem
type: PropertyValue
value: Flask: 100,000+ (PyPI) | Gin: ~20,000 (pkg.go.dev)
value reference: Flask

Response Latency (p99)
type: PropertyValue
value: Flask: 80-150 | Gin: 5-20
value reference: Gin

Production Deployment Model
type: PropertyValue
value: Flask: Requires external WSGI server | Gin: Self-contained binary

First Release Year
type: PropertyValue
value: Flask: 2010 | Gin: 2014
value reference: Flask

Weekly Downloads
type: PropertyValue
value: Flask: 3.2M | Gin: N/A

Minimum Setup Time
type: PropertyValue
value: Flask: 5-10 minutes | Gin: N/A

Boilerplate Code (Hello World)
type: PropertyValue
value: Flask: ~20 LOC | Gin: N/A

Built-in Features
type: PropertyValue
value: Flask: Blueprints, Jinja2 templating, session management, Werkzeug integration | Gin: N/A

Production Fortune 500 Usage
type: PropertyValue
value: Flask: ~180+ companies (Netflix, Uber, Spotify, Pinterest) | Gin: N/A

Memory Footprint
type: PropertyValue
value: Flask: ~15-20 MB per instance | Gin: N/A

Request Handling Speed (simple route)
type: PropertyValue
value: Flask: ~1.2-1.5 ms average | Gin: N/A

Framework Requests Per Second
type: PropertyValue
value: Flask: N/A | Gin: 30,000

Cold Start Latency
type: PropertyValue
value: Flask: N/A | Gin: 7

Idle Memory Usage
type: PropertyValue
value: Flask: N/A | Gin: 10-15

Built-in Documentation Generation
type: PropertyValue
value: Flask: N/A | Gin: Manual setup required

Python/Go Package Ecosystem Size
type: PropertyValue
value: Flask: N/A | Gin: 150,000+

Deployment Model
type: PropertyValue
value: Flask: N/A | Gin: Single compiled binary

Time to Production (Small API)
type: PropertyValue
value: Flask: N/A | Gin: 12-24

Peak Request Throughput
type: PropertyValue
value: Flask: N/A | Gin: 32,000

Memory Consumption (Idle)
type: PropertyValue
value: Flask: N/A | Gin: 7

Average Response Latency
type: PropertyValue
value: Flask: N/A | Gin: 5-15

Community Stack Overflow Questions
type: PropertyValue
value: Flask: N/A | Gin: 180k

Compiled Binary Size
type: PropertyValue
value: Flask: N/A | Gin: 12-20

Built-in Routing System
type: PropertyValue
value: Flask: N/A | Gin: Advanced (radix tree, middleware)

Application Startup Time
type: PropertyValue
value: Flask: N/A | Gin: 0.1-0.2

Production Maturity
type: PropertyValue
value: Flask: N/A | Gin: 9 years

P99 Latency (typical)
type: PropertyValue
value: Flask: N/A | Gin: 10-25

Built-in Request Validation
type: PropertyValue
value: Flask: N/A | Gin: No (Manual)

Lines of Code for Basic Endpoint
type: PropertyValue
value: Flask: N/A | Gin: 15-25 lines

Production Readiness Without External Server
type: PropertyValue
value: Flask: N/A | Gin: Single Binary (Go)

SpeakableSpecification
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Flask — Wikipedia
type: CreativeWork

Gin — Wikipedia
type: CreativeWork

Compare Flask vs Gin
type: Action
additional type: CompareAction
target: https://www.aversusb.net/compare/flask-vs-gin
object: Flask
object: Gin

Type Hint Support
type: PropertyValue
value reference: Developer Experience

Requests Per Second (Throughput)
type: PropertyValue
value reference: Performance

Cold Start Time
type: PropertyValue
value reference: Performance

Memory Usage (Baseline)
type: PropertyValue
value reference: Performance

Available Packages/Modules
type: PropertyValue
value reference: Ecosystem

ML/Data Science Library Support
type: PropertyValue
value reference: Ecosystem

GitHub Stars (Popularity Proxy)
type: PropertyValue
value reference: Community

Time to First Hello World
type: PropertyValue
value reference: Developer Experience

Deployment Without Extra Server
type: PropertyValue
value reference: DevOps

Initial Setup Time
type: PropertyValue
value reference: User Experience

GitHub Stars (as of 2026)
type: PropertyValue
value reference: Community Adoption

Number of Built-in Features
type: PropertyValue
value reference: Functionality

Average Project Setup Lines of Code
type: PropertyValue
value reference: Code Complexity

Third-party Packages Required (typical CRUD)
type: PropertyValue
value reference: Dependencies

Deployment Complexity Score
type: PropertyValue
value reference: DevOps

Performance (Requests/sec, hello world)
type: PropertyValue
value reference: Performance

Job Market Demand (LinkedIn postings 2026)
type: PropertyValue
value reference: Career Value

Default Dependencies
type: PropertyValue
value reference: Installation

Async Support
type: PropertyValue
value reference: Architecture

Auto Documentation Generation
type: PropertyValue
value reference: Developer Experience

Time to 'Hello World' App
type: PropertyValue
value reference: Developer Experience

Time to First Production App
type: PropertyValue
value reference: Developer Experience

Available Extensions/Packages
type: PropertyValue
value reference: Ecosystem

Memory Usage (Idle)
type: PropertyValue
value reference: Performance

Latest Stable Release
type: PropertyValue
value reference: Maintenance

GitHub Stars
type: PropertyValue
value reference: Adoption & Community

Async/Await Native Support
type: PropertyValue
value reference: Architecture

Startup Memory Usage
type: PropertyValue
value reference: Resource Efficiency

Minimum Learning Time
type: PropertyValue
value reference: Developer Experience

Third-Party Package Ecosystem
type: PropertyValue
value reference: Ecosystem

Response Latency (p99)
type: PropertyValue
value reference: Performance

Production Deployment Model
type: PropertyValue
value reference: Operations

First Release Year
type: PropertyValue
value reference: Maturity

Weekly Downloads
type: PropertyValue
value reference: Adoption & Community

Minimum Setup Time
type: PropertyValue
value reference: Developer Experience

Boilerplate Code (Hello World)
type: PropertyValue
value reference: Developer Experience

Built-in Features
type: PropertyValue
value reference: Feature Set

Production Fortune 500 Usage
type: PropertyValue
value reference: Enterprise Adoption

Memory Footprint
type: PropertyValue
value reference: Performance

Request Handling Speed (simple route)
type: PropertyValue
value reference: Performance

Framework Requests Per Second
type: PropertyValue
value reference: Performance

Cold Start Latency
type: PropertyValue
value reference: Performance

Idle Memory Usage
type: PropertyValue
value reference: Performance

Built-in Documentation Generation
type: PropertyValue
value reference: Developer Experience

Python/Go Package Ecosystem Size
type: PropertyValue
value reference: Ecosystem

Deployment Model
type: PropertyValue
value reference: Architecture

Time to Production (Small API)
type: PropertyValue
value reference: Development

Peak Request Throughput
type: PropertyValue
value reference: Performance

Memory Consumption (Idle)
type: PropertyValue
value reference: Resource Efficiency

Average Response Latency
type: PropertyValue
value reference: Performance

Community Stack Overflow Questions
type: PropertyValue
value reference: Community

Compiled Binary Size
type: PropertyValue
value reference: Deployment

Built-in Routing System
type: PropertyValue
value reference: Feature Set

Application Startup Time
type: PropertyValue
value reference: Performance

Production Maturity
type: PropertyValue
value reference: Enterprise

P99 Latency (typical)
type: PropertyValue
value reference: Performance

Built-in Request Validation
type: PropertyValue
value reference: Developer Experience

Lines of Code for Basic Endpoint
type: PropertyValue
value reference: Development Speed

Production Readiness Without External Server
type: PropertyValue
value reference: Deployment