Did TypeScript really overtake Python in 2025?

Yes. In August 2025, TypeScript surpassed Python to become GitHub's #1 language by contributor count for the first time in over a decade. TypeScript reached 2,636,006 monthly contributors (66% YoY growth), exceeding Python's 2,594,006 by approximately 42,000 developers. This marks a fundamental shift in the developer ecosystem driven by AI tools and web development growth.

Why do AI coding tools prefer TypeScript?

A 2025 study found that 94% of errors generated by large language models in code production are type-related. TypeScript's mandatory type system catches these errors at compile-time before they reach production. Python's dynamic typing allows type errors to slip through to runtime, making it riskier for AI-assisted code generation in critical systems.

Is Python dead for machine learning?

No. Python remains the industry standard for ML/AI model development. TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, and other critical ML libraries are Python-native with 95%+ adoption in production AI systems. However, TypeScript is emerging for inference, serving ML models via APIs, and building AI agent systems. The split is: Python for model training and research; TypeScript for deploying and integrating trained models.

Which language pays more in 2026?

TypeScript developers earn $129,000 on average versus $111,000 for JavaScript-only roles (Stack Overflow 2025). This 18% salary premium reflects TypeScript's dominance in modern web development and its market rarity. Python data science/ML roles vary widely ($95K-$180K) depending on specialization and experience, but mid-career salaries for both are competitive.

Should I learn both languages?

Yes. The 2026 career strategy is not 'TypeScript versus Python'—it's understanding when each shines. Learn Python if interested in data science, ML, or research. Learn TypeScript if building web applications, APIs, or full-stack systems. Master both if pursuing senior engineering, ML platform development, or AI infrastructure roles. The best developers in 2026 are polyglots who choose the right tool for each problem.

Python vs TypeScript in 2026

Updated May 10, 2026

TypeScript

Typed superset of JavaScript with enforced static type checking and 2.6M GitHub contributors.

Web developers, full-stack engineers, API builders, teams using AI-assisted coding, startups prioritizing code safety over rapid prototyping

Check Price

Python

Dynamic, interpreted language dominating AI/ML with mature scientific computing libraries.

Data scientists, ML engineers, researchers, teams building ML models, automation scripts, academic projects, organizations already invested in Python ML frameworks

Short Answer

TypeScript surpassed Python as GitHub's #1 language in August 2025 with 66% YoY growth and 2.6M monthly contributors, driven by AI tools' preference for type safety; Python remains dominant for ML/AI model development and data science with an irreplaceable ecosystem.

Our Verdict

Choose TypeScript if you're building web applications, APIs, full-stack systems, or working in environments where AI-assisted coding is critical—its enforced type safety catches 94% of AI-generated errors that would slip through Python. Choose Python if you're doing machine learning, data science, model training, research, or automation—its ecosystem (TensorFlow, PyTorch, Pandas, NumPy) is irreplaceable and optimized for numerical computing. The 2026 reality: the best developers master both; TypeScript for frontend/API safety, Python for ML/data intelligence.

TypeScript9.2

5.8Python

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Key Differences at a Glance

🔹

GitHub Monthly Contributors (2025): TypeScript wins (2,636,006 vs 2,594,006)

🔹

YoY Growth Rate (2024-2025): TypeScript wins (66% vs -8%)

🔹

Type System Approach: Mandatory & enforced vs Optional & dynamic

See all 7 differences

Key Facts & Figures

Metric	TypeScript	Python	Diff
Professional Developer Adoption Rate(%)	67%	—	—
LLM-Generated Code Error Detection Rate(%)	94%	—	—
Initial Setup Time(minutes)	5-15 (build tools required, or Node 22.6+ for native)	—	—
Optimal Codebase Size(lines of code)	10,000+ LOC (scales to millions)	—	—

Key Differences

TypeScript

Attribute

Python

2,636,006🏆

GitHub Monthly Contributors (2025)

2,594,006

66%🏆

YoY Growth Rate (2024-2025)

-8%

Mandatory & enforced

Type System Approach

Optional & dynamic

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Last updated: May 10, 2026AI generated

GitHub Monthly Contributors (2025)

TypeScript

2,636,006🏆

Python

2,594,006

YoY Growth Rate (2024-2025)

TypeScript

66%🏆

Python

-8%

Type System Approach

TypeScript

Mandatory & enforced

Python

Optional & dynamic

Web Developer Job Listings Share

TypeScript

31%🏆

Python

18%

Average Developer Salary

TypeScript

$129,000🏆

Python

$111,000

AI Model Training & Deployment

TypeScript

Emerging

Python

Industry standard🏆

Type-Related Errors from LLMs

TypeScript

6% (with types)🏆

Python

94% (without types)

Full Comparison

Attribute	TypeScript	Python

Professional Developer Adoption Rate(%)	67%	—
Developers Writing Only This Language Professionally(%)	40-50%	—

LLM-Generated Code Error Detection Rate(%)	94%	—

Initial Setup Time(minutes)	5-15 (build tools required, or Node 22.6+ for native)	—
AI Code Generation Quality	Excellent (native Copilot/ChatGPT support)	—
Learning Curve (Hours to Proficiency)(hours)	40-60 hours	—
Build/Compilation Time(seconds)	10-30 seconds (typical)	—

Optimal Codebase Size(lines of code)	10,000+ LOC (scales to millions)	—

Major Companies Using (2026)(count)	Airbnb, Stripe, Slack, Google, Microsoft	—

IDE Autocompletion Quality(accuracy rating)	Exceptional (full type inference via LSP)	—

Compilation Required (Pre-Node 22.6)(boolean)	Yes (optional on Node 22.6+)	—

Job Market Demand(% difference)	+78% more postings	—

Learning Difficulty Ranking(position (lower is easier))	6th easiest (Slant.co 2026)	—

Package Ecosystem Size(packages)	3M+ npm packages	—

Null Safety	Optional (gradual typing)	—
Type Safety Enforcement	Optional (configurable strictness)	—

Native Compilation Speed Improvement(% faster)	Not applicable (interpreted)	—
Compilation Speed (5000 modules, 10 packages)(seconds)	6.73s	—
Compilation Speed (2000 modules)(seconds)	3.36s	—
Latest Version Performance Improvement(%)	TypeScript 6.0 — enhanced type inference & compilation speed	—
Execution Speed	Moderate (interpreted)	—
Show 6 more attributes Execution Speed (relative) ~2-10x slower — JSON API Request Throughput(requests/second) 25,000 req/s — Execution Speed (Matrix Multiplication Benchmark)(relative speed (Julia = 1.0x)) 0.05-0.1x (50-100x slower) — Memory Usage (Typical Data Processing)(relative efficiency) 0.7x (more memory consumed) — Execution Speed (Fibonacci 30)(seconds) 4.8 seconds — Memory Footprint (Idle Process)(MB) 25-35 MB —

Primary Target Platforms	Web, Node.js, browsers, desktop	—

Latest Version Release	TypeScript 6.0 (2026) - performance improvements	—
Latest Major Release (2026)(version)	5.9 (improved inference, decorators)	—
Latest Stable Release Version(version number)	3.13.x (2024)	—
Compilation Time (Medium Project)(seconds)	0 seconds (interpreted)	—

Weekly Downloads(millions)	6M+ weekly (npm)	—
Stack Overflow Most Used (2024)	#3	—
Stack Overflow Ranking (2024)	#3	—

Available Packages/Libraries(packages)	2,500,000+	—
Available npm/Package Ecosystem(packages)	2,000,000+ (npm registry)	—
Mobile App Platform Support(platforms)	iOS/Android via React Native or NativeScript (third-party)	—
AI/ML Libraries	TensorFlow, PyTorch, scikit-learn	—
Machine Learning Market Share(%)	92%	—
Show 4 more attributes Total Packages Available(packages) 500,000+ (PyPI) — Active Developer Community(millions) 10+ million developers — ML Framework Maturity(production-ready frameworks) TensorFlow, PyTorch, scikit-learn, XGBoost (mature) — Available Packages(package count) 530,000+ packages —

JavaScript Interoperability	Seamless (JavaScript superset)	—

Learning Curve (for JS developers)	Minimal (JavaScript + types)	—

Enterprise Customer Base(customers)	10,038	—
Market Share Ratio(x)	5.7x larger	—
Production Website Adoption (All Sites)(%)	1.2%	—
Top 1,000 Websites Adoption(%)	2.3%	—

Compilation Target	JavaScript (interpreted at runtime)	—
Execution Model	Interpreted with bytecode compilation	—

Typical Build Step Required(seconds)	1-5 seconds (depending on project size)	—

Onboarding Difficulty for JavaScript Devs(difficulty level)	Low (syntax and semantics extend JavaScript)	—

Type Checking Model	Static (compile-time)	—
Concurrency Model	Threading (GIL limits true parallelism)	—

AI Code Error Prevention Rate(%)	94% of LLM errors caught	—

Enterprise Adoption (Fortune 500)(%)	87% for new projects	—
Industry Job Market Share(percent of data science roles)	99%	—

GitHub Monthly Active Contributors(contributors)	2,636,006	2,594,006
YoY Contributor Growth Rate(%)	+66%	-8%

Web Developer Job Listings Market Share(%)	31%	18%
Median Developer Annual Salary(USD)	$129,000	$111,000

AI-Generated Code Errors (Type-Related)(%)	6%	94%

ML/AI Model Training Ecosystem Maturity	Emerging (Node.js-based TensorFlow.js, Hugging Face JS)	Industry standard (TensorFlow, PyTorch, JAX, scikit-learn)

Type System Enforcement	Mandatory compile-time checking	Optional runtime (duck typing)
Syntax Learning Difficulty(beginner friendliness 1-10)	9/10 (readable, intuitive)	—
Type System	Dynamically-typed (runtime checking)	—

Adoption in Data Science Roles(%)	12%	95%

Lines of Code (Hello World equiv.)	1 line	—

Latest Version (2026)	3.14 (released Jan 3, 2026)	—

Production ML Readiness(scale 1-10)	9.5/10	—

Statistical Test Complexity(lines of code average)	15-50 lines (GLM, GAM)	—

Data Visualization Learning Curve(hours to proficiency)	20-30 hours	—

Community Size (Stack Overflow)(questions tagged)	2.2 million+ questions	—

Cross-Language Integration (2026)(libraries available)	rpy2, PypeR for R integration	—

Average Developer Salary (2025)(USD/year)	$148,000	—

Beginner Learning Difficulty(difficulty rating (1-10))	2-3 (very easy)	—

Time to Productivity (Beginner)(weeks)	1-2 weeks	—

Stack Overflow Developer Survey Rank(ranking)	Top 5 but behind Rust	—
Global Developer Population(millions)	4.5+ million	—

Average Job Salary (USA 2026)(USD/year)	$138,000	—

TypeScript

Python

Professional Developer Adoption Rate(%)

67%

—

Developers Writing Only This Language Professionally(%)

40-50%

—

LLM-Generated Code Error Detection Rate(%)

94%

—

Initial Setup Time(minutes)

5-15 (build tools required, or Node 22.6+ for native)

—

AI Code Generation Quality

Excellent (native Copilot/ChatGPT support)

—

Learning Curve (Hours to Proficiency)(hours)

40-60 hours

—

Build/Compilation Time(seconds)

10-30 seconds (typical)

—

Optimal Codebase Size(lines of code)

10,000+ LOC (scales to millions)

—

Major Companies Using (2026)(count)

Airbnb, Stripe, Slack, Google, Microsoft

—

IDE Autocompletion Quality(accuracy rating)

Exceptional (full type inference via LSP)

—

Compilation Required (Pre-Node 22.6)(boolean)

Yes (optional on Node 22.6+)

—

Job Market Demand(% difference)

+78% more postings

—

Learning Difficulty Ranking(position (lower is easier))

6th easiest (Slant.co 2026)

—

Package Ecosystem Size(packages)

3M+ npm packages

—

Null Safety

Optional (gradual typing)

—

Type Safety Enforcement

Optional (configurable strictness)

—

Native Compilation Speed Improvement(% faster)

Not applicable (interpreted)

—

Compilation Speed (5000 modules, 10 packages)(seconds)

6.73s

—

Compilation Speed (2000 modules)(seconds)

3.36s

—

Latest Version Performance Improvement(%)

TypeScript 6.0 — enhanced type inference & compilation speed

—

Execution Speed

Moderate (interpreted)

—

Show 6 more attributes

Execution Speed (relative)

~2-10x slower

—

JSON API Request Throughput(requests/second)

25,000 req/s

—

Execution Speed (Matrix Multiplication Benchmark)(relative speed (Julia = 1.0x))

0.05-0.1x (50-100x slower)

—

Memory Usage (Typical Data Processing)(relative efficiency)

0.7x (more memory consumed)

—

Execution Speed (Fibonacci 30)(seconds)

4.8 seconds

—

Memory Footprint (Idle Process)(MB)

25-35 MB

—

Primary Target Platforms

Web, Node.js, browsers, desktop

—

Latest Version Release

TypeScript 6.0 (2026) - performance improvements

—

Latest Major Release (2026)(version)

5.9 (improved inference, decorators)

—

Latest Stable Release Version(version number)

3.13.x (2024)

—

Compilation Time (Medium Project)(seconds)

0 seconds (interpreted)

—

Weekly Downloads(millions)

6M+ weekly (npm)

—

Stack Overflow Most Used (2024)

—

Stack Overflow Ranking (2024)

—

Available Packages/Libraries(packages)

2,500,000+

—

Available npm/Package Ecosystem(packages)

2,000,000+ (npm registry)

—

Mobile App Platform Support(platforms)

iOS/Android via React Native or NativeScript (third-party)

—

AI/ML Libraries

TensorFlow, PyTorch, scikit-learn

—

Machine Learning Market Share(%)

92%

—

Show 4 more attributes

Total Packages Available(packages)

500,000+ (PyPI)

—

Active Developer Community(millions)

10+ million developers

—

ML Framework Maturity(production-ready frameworks)

TensorFlow, PyTorch, scikit-learn, XGBoost (mature)

—

Available Packages(package count)

530,000+ packages

—

JavaScript Interoperability

Seamless (JavaScript superset)

—

Learning Curve (for JS developers)

Minimal (JavaScript + types)

—

Enterprise Customer Base(customers)

10,038

—

Market Share Ratio(x)

5.7x larger

—

Production Website Adoption (All Sites)(%)

1.2%

—

Top 1,000 Websites Adoption(%)

2.3%

—

Compilation Target

JavaScript (interpreted at runtime)

—

Execution Model

Interpreted with bytecode compilation

—

Typical Build Step Required(seconds)

1-5 seconds (depending on project size)

—

Onboarding Difficulty for JavaScript Devs(difficulty level)

Low (syntax and semantics extend JavaScript)

—

Type Checking Model

Static (compile-time)

—

Concurrency Model

Threading (GIL limits true parallelism)

—

AI Code Error Prevention Rate(%)

94% of LLM errors caught

—

Enterprise Adoption (Fortune 500)(%)

87% for new projects

—

Industry Job Market Share(percent of data science roles)

99%

—

GitHub Monthly Active Contributors(contributors)

2,636,006

2,594,006

YoY Contributor Growth Rate(%)

+66%

-8%

Web Developer Job Listings Market Share(%)

31%

18%

Median Developer Annual Salary(USD)

$129,000

$111,000

AI-Generated Code Errors (Type-Related)(%)

94%

ML/AI Model Training Ecosystem Maturity

Emerging (Node.js-based TensorFlow.js, Hugging Face JS)

Industry standard (TensorFlow, PyTorch, JAX, scikit-learn)

Type System Enforcement

Mandatory compile-time checking

Optional runtime (duck typing)

Syntax Learning Difficulty(beginner friendliness 1-10)

9/10 (readable, intuitive)

—

Type System

Dynamically-typed (runtime checking)

—

Adoption in Data Science Roles(%)

12%

95%

Lines of Code (Hello World equiv.)

1 line

—

Latest Version (2026)

3.14 (released Jan 3, 2026)

—

Production ML Readiness(scale 1-10)

9.5/10

—

Statistical Test Complexity(lines of code average)

15-50 lines (GLM, GAM)

—

Data Visualization Learning Curve(hours to proficiency)

20-30 hours

—

Community Size (Stack Overflow)(questions tagged)

2.2 million+ questions

—

Cross-Language Integration (2026)(libraries available)

rpy2, PypeR for R integration

—

Average Developer Salary (2025)(USD/year)

$148,000

—

Beginner Learning Difficulty(difficulty rating (1-10))

2-3 (very easy)

—

Time to Productivity (Beginner)(weeks)

1-2 weeks

—

Stack Overflow Developer Survey Rank(ranking)

Top 5 but behind Rust

—

Global Developer Population(millions)

4.5+ million

—

Average Job Salary (USA 2026)(USD/year)

$138,000

—

Full Comparison

Attribute	TypeScript	Python

Professional Developer Adoption Rate(%)	67%	—
Developers Writing Only This Language Professionally(%)	40-50%	—

LLM-Generated Code Error Detection Rate(%)	94%	—

Initial Setup Time(minutes)	5-15 (build tools required, or Node 22.6+ for native)	—
AI Code Generation Quality	Excellent (native Copilot/ChatGPT support)	—
Learning Curve (Hours to Proficiency)(hours)	40-60 hours	—
Build/Compilation Time(seconds)	10-30 seconds (typical)	—

Optimal Codebase Size(lines of code)	10,000+ LOC (scales to millions)	—

Major Companies Using (2026)(count)	Airbnb, Stripe, Slack, Google, Microsoft	—

IDE Autocompletion Quality(accuracy rating)	Exceptional (full type inference via LSP)	—

Compilation Required (Pre-Node 22.6)(boolean)	Yes (optional on Node 22.6+)	—

Job Market Demand(% difference)	+78% more postings	—

Learning Difficulty Ranking(position (lower is easier))	6th easiest (Slant.co 2026)	—

Package Ecosystem Size(packages)	3M+ npm packages	—

Null Safety	Optional (gradual typing)	—
Type Safety Enforcement	Optional (configurable strictness)	—

Native Compilation Speed Improvement(% faster)	Not applicable (interpreted)	—
Compilation Speed (5000 modules, 10 packages)(seconds)	6.73s	—
Compilation Speed (2000 modules)(seconds)	3.36s	—
Latest Version Performance Improvement(%)	TypeScript 6.0 — enhanced type inference & compilation speed	—
Execution Speed	Moderate (interpreted)	—
Show 6 more attributes Execution Speed (relative) ~2-10x slower — JSON API Request Throughput(requests/second) 25,000 req/s — Execution Speed (Matrix Multiplication Benchmark)(relative speed (Julia = 1.0x)) 0.05-0.1x (50-100x slower) — Memory Usage (Typical Data Processing)(relative efficiency) 0.7x (more memory consumed) — Execution Speed (Fibonacci 30)(seconds) 4.8 seconds — Memory Footprint (Idle Process)(MB) 25-35 MB —

Primary Target Platforms	Web, Node.js, browsers, desktop	—

Latest Version Release	TypeScript 6.0 (2026) - performance improvements	—
Latest Major Release (2026)(version)	5.9 (improved inference, decorators)	—
Latest Stable Release Version(version number)	3.13.x (2024)	—
Compilation Time (Medium Project)(seconds)	0 seconds (interpreted)	—

Weekly Downloads(millions)	6M+ weekly (npm)	—
Stack Overflow Most Used (2024)	#3	—
Stack Overflow Ranking (2024)	#3	—

Available Packages/Libraries(packages)	2,500,000+	—
Available npm/Package Ecosystem(packages)	2,000,000+ (npm registry)	—
Mobile App Platform Support(platforms)	iOS/Android via React Native or NativeScript (third-party)	—
AI/ML Libraries	TensorFlow, PyTorch, scikit-learn	—
Machine Learning Market Share(%)	92%	—
Show 4 more attributes Total Packages Available(packages) 500,000+ (PyPI) — Active Developer Community(millions) 10+ million developers — ML Framework Maturity(production-ready frameworks) TensorFlow, PyTorch, scikit-learn, XGBoost (mature) — Available Packages(package count) 530,000+ packages —

JavaScript Interoperability	Seamless (JavaScript superset)	—

Learning Curve (for JS developers)	Minimal (JavaScript + types)	—

Enterprise Customer Base(customers)	10,038	—
Market Share Ratio(x)	5.7x larger	—
Production Website Adoption (All Sites)(%)	1.2%	—
Top 1,000 Websites Adoption(%)	2.3%	—

Compilation Target	JavaScript (interpreted at runtime)	—
Execution Model	Interpreted with bytecode compilation	—

Typical Build Step Required(seconds)	1-5 seconds (depending on project size)	—

Onboarding Difficulty for JavaScript Devs(difficulty level)	Low (syntax and semantics extend JavaScript)	—

Type Checking Model	Static (compile-time)	—
Concurrency Model	Threading (GIL limits true parallelism)	—

AI Code Error Prevention Rate(%)	94% of LLM errors caught	—

Enterprise Adoption (Fortune 500)(%)	87% for new projects	—
Industry Job Market Share(percent of data science roles)	99%	—

GitHub Monthly Active Contributors(contributors)	2,636,006	2,594,006
YoY Contributor Growth Rate(%)	+66%	-8%

Web Developer Job Listings Market Share(%)	31%	18%
Median Developer Annual Salary(USD)	$129,000	$111,000

AI-Generated Code Errors (Type-Related)(%)	6%	94%

ML/AI Model Training Ecosystem Maturity	Emerging (Node.js-based TensorFlow.js, Hugging Face JS)	Industry standard (TensorFlow, PyTorch, JAX, scikit-learn)

Type System Enforcement	Mandatory compile-time checking	Optional runtime (duck typing)
Syntax Learning Difficulty(beginner friendliness 1-10)	9/10 (readable, intuitive)	—
Type System	Dynamically-typed (runtime checking)	—

Adoption in Data Science Roles(%)	12%	95%

Lines of Code (Hello World equiv.)	1 line	—

Latest Version (2026)	3.14 (released Jan 3, 2026)	—

Production ML Readiness(scale 1-10)	9.5/10	—

Statistical Test Complexity(lines of code average)	15-50 lines (GLM, GAM)	—

Data Visualization Learning Curve(hours to proficiency)	20-30 hours	—

Community Size (Stack Overflow)(questions tagged)	2.2 million+ questions	—

Cross-Language Integration (2026)(libraries available)	rpy2, PypeR for R integration	—

Average Developer Salary (2025)(USD/year)	$148,000	—

Beginner Learning Difficulty(difficulty rating (1-10))	2-3 (very easy)	—

Time to Productivity (Beginner)(weeks)	1-2 weeks	—

Stack Overflow Developer Survey Rank(ranking)	Top 5 but behind Rust	—
Global Developer Population(millions)	4.5+ million	—

Average Job Salary (USA 2026)(USD/year)	$138,000	—

TypeScript

Python

Professional Developer Adoption Rate(%)

67%

—

Developers Writing Only This Language Professionally(%)

40-50%

—

LLM-Generated Code Error Detection Rate(%)

94%

—

Initial Setup Time(minutes)

5-15 (build tools required, or Node 22.6+ for native)

—

AI Code Generation Quality

Excellent (native Copilot/ChatGPT support)

—

Learning Curve (Hours to Proficiency)(hours)

40-60 hours

—

Build/Compilation Time(seconds)

10-30 seconds (typical)

—

Optimal Codebase Size(lines of code)

10,000+ LOC (scales to millions)

—

Major Companies Using (2026)(count)

Airbnb, Stripe, Slack, Google, Microsoft

—

IDE Autocompletion Quality(accuracy rating)

Exceptional (full type inference via LSP)

—

Compilation Required (Pre-Node 22.6)(boolean)

Yes (optional on Node 22.6+)

—

Job Market Demand(% difference)

+78% more postings

—

Learning Difficulty Ranking(position (lower is easier))

6th easiest (Slant.co 2026)

—

Package Ecosystem Size(packages)

3M+ npm packages

—

Null Safety

Optional (gradual typing)

—

Type Safety Enforcement

Optional (configurable strictness)

—

Native Compilation Speed Improvement(% faster)

Not applicable (interpreted)

—

Compilation Speed (5000 modules, 10 packages)(seconds)

6.73s

—

Compilation Speed (2000 modules)(seconds)

3.36s

—

Latest Version Performance Improvement(%)

TypeScript 6.0 — enhanced type inference & compilation speed

—

Execution Speed

Moderate (interpreted)

—

Show 6 more attributes

Execution Speed (relative)

~2-10x slower

—

JSON API Request Throughput(requests/second)

25,000 req/s

—

Execution Speed (Matrix Multiplication Benchmark)(relative speed (Julia = 1.0x))

0.05-0.1x (50-100x slower)

—

Memory Usage (Typical Data Processing)(relative efficiency)

0.7x (more memory consumed)

—

Execution Speed (Fibonacci 30)(seconds)

4.8 seconds

—

Memory Footprint (Idle Process)(MB)

25-35 MB

—

Primary Target Platforms

Web, Node.js, browsers, desktop

—

Latest Version Release

TypeScript 6.0 (2026) - performance improvements

—

Latest Major Release (2026)(version)

5.9 (improved inference, decorators)

—

Latest Stable Release Version(version number)

3.13.x (2024)

—

Compilation Time (Medium Project)(seconds)

0 seconds (interpreted)

—

Weekly Downloads(millions)

6M+ weekly (npm)

—

Stack Overflow Most Used (2024)

—

Stack Overflow Ranking (2024)

—

Available Packages/Libraries(packages)

2,500,000+

—

Available npm/Package Ecosystem(packages)

2,000,000+ (npm registry)

—

Mobile App Platform Support(platforms)

iOS/Android via React Native or NativeScript (third-party)

—

AI/ML Libraries

TensorFlow, PyTorch, scikit-learn

—

Machine Learning Market Share(%)

92%

—

Show 4 more attributes

Total Packages Available(packages)

500,000+ (PyPI)

—

Active Developer Community(millions)

10+ million developers

—

ML Framework Maturity(production-ready frameworks)

TensorFlow, PyTorch, scikit-learn, XGBoost (mature)

—

Available Packages(package count)

530,000+ packages

—

JavaScript Interoperability

Seamless (JavaScript superset)

—

Learning Curve (for JS developers)

Minimal (JavaScript + types)

—

Enterprise Customer Base(customers)

10,038

—

Market Share Ratio(x)

5.7x larger

—

Production Website Adoption (All Sites)(%)

1.2%

—

Top 1,000 Websites Adoption(%)

2.3%

—

Compilation Target

JavaScript (interpreted at runtime)

—

Execution Model

Interpreted with bytecode compilation

—

Typical Build Step Required(seconds)

1-5 seconds (depending on project size)

—

Onboarding Difficulty for JavaScript Devs(difficulty level)

Low (syntax and semantics extend JavaScript)

—

Type Checking Model

Static (compile-time)

—

Concurrency Model

Threading (GIL limits true parallelism)

—

AI Code Error Prevention Rate(%)

94% of LLM errors caught

—

Enterprise Adoption (Fortune 500)(%)

87% for new projects

—

Industry Job Market Share(percent of data science roles)

99%

—

GitHub Monthly Active Contributors(contributors)

2,636,006

2,594,006

YoY Contributor Growth Rate(%)

+66%

-8%

Web Developer Job Listings Market Share(%)

31%

18%

Median Developer Annual Salary(USD)

$129,000

$111,000

AI-Generated Code Errors (Type-Related)(%)

94%

ML/AI Model Training Ecosystem Maturity

Emerging (Node.js-based TensorFlow.js, Hugging Face JS)

Industry standard (TensorFlow, PyTorch, JAX, scikit-learn)

Type System Enforcement

Mandatory compile-time checking

Optional runtime (duck typing)

Syntax Learning Difficulty(beginner friendliness 1-10)

9/10 (readable, intuitive)

—

Type System

Dynamically-typed (runtime checking)

—

Adoption in Data Science Roles(%)

12%

95%

Lines of Code (Hello World equiv.)

1 line

—

Latest Version (2026)

3.14 (released Jan 3, 2026)

—

Production ML Readiness(scale 1-10)

9.5/10

—

Statistical Test Complexity(lines of code average)

15-50 lines (GLM, GAM)

—

Data Visualization Learning Curve(hours to proficiency)

20-30 hours

—

Community Size (Stack Overflow)(questions tagged)

2.2 million+ questions

—

Cross-Language Integration (2026)(libraries available)

rpy2, PypeR for R integration

—

Average Developer Salary (2025)(USD/year)

$148,000

—

Beginner Learning Difficulty(difficulty rating (1-10))

2-3 (very easy)

—

Time to Productivity (Beginner)(weeks)

1-2 weeks

—

Stack Overflow Developer Survey Rank(ranking)

Top 5 but behind Rust

—

Global Developer Population(millions)

4.5+ million

—

Average Job Salary (USA 2026)(USD/year)

$138,000

—

Python vs TypeScript in 2026

TypeScript

Python

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Python vs TypeScript in 2026

TypeScript

Python

Short Answer

Our Verdict

🔔Track this comparison

Key Differences at a Glance

Key Facts & Figures

Key Differences

Related Comparisons

Related Articles

Explore Entities

More Software

People Also Compare

Full Comparison

Visual Comparison

Pros & Cons

TypeScript

Pros

Cons

Python

Pros

Cons

Frequently Asked Questions

Resources & Learn More

Where to Buy

Wikipedia

Videos

Full Comparison

Visual Comparison

Track this comparison