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Summary
Key takeaways
- Python remains one of the strongest languages in 2026 across AI, data, and backend development, and the article presents it as still central to modern engineering even after GitHub’s top-language shift.
- Python ranks #1 on the TIOBE Index at 18.96% as of June 2026, ahead of C, C++, Java, and C#.
- In JetBrains’ Developer Ecosystem Survey 2025, 34% of developers named Python as their primary language, placing it ahead of JavaScript, Java, and TypeScript on that measure.
- GitHub Octoverse 2025 shows about 2.6 million Python contributors, up 48.78% year over year, which signals very strong active developer momentum even though TypeScript overtook Python as GitHub’s most-used language by contributor count in August 2025.
- Python’s growth is closely tied to AI, data science, and backend development, with Stack Overflow 2025 reporting the largest year-over-year gain among major languages at seven percentage points.
- The article shows Python as especially dominant in data and AI work: 51% of surveyed Python developers are involved in data exploration and processing, and Python powers 582,196 new AI-tagged repositories on GitHub, up 50.7% year over year.
- FastAPI is presented as the fastest-growing major Python web framework, reaching 38% usage and moving ahead of Django at 35% and Flask at 34% in the cited survey.
- US Python developer compensation remains strong. The article cites Built In at $112,382 average base salary and $127,649 average total compensation, while Coursera, citing Glassdoor, reports $129,000 median total pay.
- The article argues that the hiring conversation is shifting from raw Python headcount toward seniority and production capability, especially where Python intersects with AI integration, data pipelines, system design, observability, and security.
- Its overall message is that Python is still a leading language in 2026, but the most valuable Python engineers are increasingly those who combine language skill with applied AI, data, and production engineering depth.
When this applies
This applies when you need an up-to-date snapshot of Python’s position in the market and want to understand how strong it remains across popularity, GitHub activity, AI usage, frameworks, salaries, and hiring demand. It is especially useful for CTOs, engineering managers, founders, recruiters, and content teams deciding whether Python still deserves strategic priority for hiring, training, or product planning. It also applies when the question is broader than “is Python popular” and instead concerns what kind of Python work is growing, what frameworks are gaining traction, and what skill profile the market now rewards.
When this does not apply
This does not apply as directly when the real question is how to choose a Python framework for one project, how to interview a Python engineer, or how to benchmark an individual company’s salary offer in one city. It is also less suitable if you need a precise global headcount of Python developers, because the article explicitly says there is no single authoritative worldwide number and instead triangulates using surveys, GitHub activity, and broader developer-population estimates. And if your need is a deep technical comparison between Python and another language for one narrow use case, this article is primarily a market-and-usage statistics overview rather than a technical architecture guide.
Checklist
- Confirm whether you need Python market data, salary data, framework data, or demand signals before quoting any single number.
- Use multiple indicators together rather than relying on one ranking alone.
- Check both TIOBE and survey-based sources if you want a balanced view of popularity.
- Separate primary-language preference from overall language usage when interpreting Python’s position.
- Use GitHub contributor data to understand activity, not to estimate the full number of Python developers worldwide.
- Factor in AI, data science, and backend development when explaining Python’s recent growth.
- If you are planning hiring, distinguish general Python roles from AI, data, and platform-specialist Python roles.
- Review Python’s GitHub contributor growth alongside the fact that TypeScript overtook it on GitHub by contributor count.
- Treat FastAPI’s growth as a signal that the Python web ecosystem is shifting, not standing still.
- Check Django separately if your interest is long-term full-stack web development.
- Use salary ranges from more than one source because compensation varies by methodology, location, and whether total pay includes bonuses or equity.
- If quoting Python’s role in AI, include repository-growth and data-work statistics, not just general popularity.
- Do not equate survey reach with exact market share, since different sources measure different things.
- Frame Python demand in terms of production capability, not just syntax knowledge.
- Use the article as a current 2026 reference point, since it was last updated on June 22, 2026.
Common pitfalls
- Treating one popularity index as the whole story instead of combining rankings, surveys, and activity data.
- Assuming Python lost strategic relevance because TypeScript overtook it on GitHub contributor count.
- Confusing GitHub contributors with the full global Python developer population.
- Looking at Python demand without accounting for the AI and data tailwind behind it.
- Treating all Python roles as equivalent even though AI, data, and platform-specialist work often commands a premium.
- Assuming Django is automatically the default growth framework when the article shows FastAPI rising faster.
- Using salary figures as fixed truths without checking whether they are base-pay or total-compensation estimates.
- Focusing on raw headcount instead of seniority and real production capability.
- Ignoring data-work statistics even though they explain a large share of Python’s practical usage.
- Treating Python as only a general scripting language when the article frames it as central to AI, data, and modern backend engineering in 2026.
Python remains central to AI, data, and backend development in 2026, even as a milestone shift has taken place at the top of GitHub. This reference compiles widely cited statistics on Python’s popularity, developer activity, real-world uses, frameworks, salaries, and demand, with every figure linked to its source.
Key Python Developer Statistics for 2026
The numbers most worth quoting:
- #1 on the TIOBE Index: Python leads at 18.96% as of June 2026, ahead of C (10.77%), C++ (8.03%), Java (7.90%), and C# (4.85%).
- 34% call Python their primary language: ahead of JavaScript, Java, and TypeScript in JetBrains’ Developer Ecosystem Survey 2025.
- About 2.6 million developers contribute in Python on GitHub: up 48.78% year over year, according to GitHub Octoverse 2025.
- TypeScript overtook Python as GitHub’s most-used language: by monthly contributors in August 2025, marking GitHub’s most significant language-ranking shift in more than a decade.
- 51% of surveyed Python developers work with data exploration and processing, according to the JetBrains/PSF Python Developers Survey.
- FastAPI reached 38% usage: up from 29% in the prior survey and ahead of Django (35%) and Flask (34%).
- US Python developer pay typically sits around $112K–$129K: Built In reports an average base salary of $112,382 and average total compensation of $127,649, while Coursera cites a $129,000 median total-pay figure from Glassdoor.
- 47.2 million developers work worldwide: up about 50% from 31 million in 2022, according to SlashData’s 2025 estimate.
Python’s Popularity in 2026
Across the broadest measures, Python remains at or near the top of the language market. Its growth continues to be closely tied to AI, data science, and backend development.
- Python ranks #1 on the TIOBE Index at 18.96% as of June 2026. It leads C (10.77%), C++ (8.03%), Java (7.90%), and C# (4.85%).
- Python was used by 57.9% of respondents in the Stack Overflow Developer Survey 2025. It ranked fourth by raw usage, behind JavaScript (66%), HTML/CSS (61.9%), and SQL (58.6%), but recorded the largest year-over-year gain among major languages at seven percentage points.
- JetBrains’ Developer Ecosystem Survey 2025 places Python second by overall use. More than one in three developers (34%) name it as their primary language, ahead of JavaScript, Java, and TypeScript by this measure.
- Stack Overflow attributes Python’s seven-point increase to its role in AI, data science, and backend development.
Python Activity on GitHub
GitHub’s data measures active contributor and repository activity rather than self-reported language preferences. The headline for 2026 is TypeScript’s move into first place by monthly contributors, alongside Python’s continued strength in AI and data work.
- More than 180 million developers now build on GitHub, with more than 36 million joining during 2025 — roughly one new developer every second.
- Python has about 2.6 million contributors on GitHub, up 48.78% year over year.
- TypeScript became GitHub’s most-used language by contributor count in August 2025, surpassing Python by roughly 42,000 contributors. GitHub describes this as the most significant language shift in more than a decade.
- JavaScript and Python are nearly tied in newly created repositories: GitHub counted about 9.3 million JavaScript repositories and 9.26 million Python repositories created during the measured 12-month period. Nearly 80% of new repositories used just six languages: Python, JavaScript, TypeScript, Java, C++, and C#.
- Repositories containing Jupyter Notebook grew from 1.4 million to 2.42 million in 2025, a 75% increase. In AI-tagged projects, Jupyter Notebook remains a leading environment for experimentation, while Python powers nearly half of new AI repositories.
Source: GitHub Octoverse 2025.
How Many Python Developers Are There?
There is no single authoritative global headcount for Python developers. The most useful way to assess Python’s reach is to combine the total developer population, GitHub contributor data, and large developer-survey results.
- 47.2 million developers worked worldwide in 2025, according to SlashData. This is about 50% more than its estimate of just over 31 million in Q1 2022.
- GitHub records about 2.6 million Python contributors. This indicates public-platform activity, not a complete worldwide Python-developer headcount.
- In large developer surveys, Python reaches a much broader audience: 57.9% of Stack Overflow respondents reported using it during the previous year, and 34% of JetBrains respondents named it their primary programming language.
What Developers Build with Python
Python remains a leading language for data work, AI, and backend services. For teams building in this space, explore our data science and engineering services.
- 51% of surveyed Python developers are involved in data exploration and processing. The most commonly used tools in that area are pandas (80%) and NumPy (75%).
- Data analysis, machine learning, and data engineering remain core Python use cases. In the Python Developers Survey, 49% of primary-Python users and 42% of secondary-Python users report using Python for data analysis; 33% and 22%, respectively, report using it for data engineering.
- Python powers 582,196 new AI-tagged repositories on GitHub, up 50.7% year over year. This supports its role across model training, inference, orchestration, and deployment.
- AI-assisted development is also becoming more visible in Python. In 2025, Microsoft CEO Satya Nadella said that AI generates “fantastic” Python code in some contexts, while stressing a less mature picture for C++.
Sources: Python Developers Survey 2024 Results, The State of Python 2025, GitHub Octoverse 2025, and CNBC’s report on Satya Nadella’s LlamaCon comments.
Most Popular Python Frameworks
The framework story is led by FastAPI’s rise, especially among developers entering Python through AI, machine learning, and data science rather than through legacy Django or Flask projects.
| Python web framework | Developer usage | Year-over-year change |
|---|---|---|
| FastAPI | 38% | Up from 29% (about +30%) |
| Django | 35% | Roughly flat |
| Flask | 34% | Roughly flat |
Source: JetBrains/PSF Python Developers Survey.
- FastAPI is the fastest-growing major Python web framework in the survey, increasing from 29% to 38% usage.
- Django remains the full-stack default for its ecosystem: 77% of respondents in the Django Developers Survey 2025 said Django is the web framework they use most.
- About half of Python developers surveyed have under two years of professional programming experience. This newer cohort is helping reshape the ecosystem around async-first tools, data workflows, and AI-oriented development.
Python Developer Salaries in 2026
US estimates vary by source, seniority, location, industry, and whether compensation includes bonuses or equity. Python’s close association with AI and data helps keep pay toward the upper end of general software-development roles. For a full breakdown by experience, location, and hiring model, see our Python developer salary guide.
- Built In reports an average US Python developer base salary of $112,382, with $127,649 average total compensation.
- Coursera, citing Glassdoor data, reports $129,000 as the median total pay for a US Python developer.
- Python developers with seven or more years of experience average $150,000 in Built In’s dataset. Compensation can be substantially higher in high-cost markets and for staff-level, AI, data, or platform-specialist roles.
AI and machine-learning specialists may command an additional premium. See our AI engineer salary report for that adjacent market.
Demand and the AI Tailwind
Python’s role as a lingua franca for AI and data remains a major source of demand, even as AI tools change how developers produce and review software. For the related market view, see our AI code generation statistics.
- Python’s usage increased by seven percentage points from 2024 to 2025 in Stack Overflow’s survey — the largest gain among major languages — driven by AI, data science, and backend development.
- GitHub’s Octoverse data shows strong growth in AI-related Python activity: Python powers nearly half of new AI-tagged repositories, and Jupyter Notebook usage expanded sharply across the platform.
- The data supports a shift in the hiring conversation from raw headcount toward seniority and production capability. Teams need engineers who can combine Python with system design, data pipelines, AI integration, observability, security, and reliable delivery.
What the Data Means
Python in 2026 is a story of concentration. It is the default language for much of AI and data work, the second most-used language in JetBrains’ 2025 survey, and the most common primary language in that dataset. TypeScript has moved ahead on GitHub’s monthly-contributor ranking, but Python’s growth in AI repositories, notebooks, data workloads, and backend services remains strong.
The newcomer wave is also changing the toolchain. FastAPI’s growth is a clear signal that Python developers increasingly value async-first APIs, typed data models, and deployment-ready backend services. For teams expanding their capacity, you can hire senior Python developers through a staff-augmentation model.
Methodology and Sources
These figures are compiled from primary surveys, indices, and source-linked salary datasets. Popularity metrics measure different things, so they should not be treated as interchangeable: TIOBE tracks search-engine signals, GitHub tracks contributor and repository activity, while Stack Overflow and JetBrains survey developers directly.
- JetBrains/PSF Python Developers Survey — Python uses, frameworks, data work, and developer experience.
- JetBrains Developer Ecosystem Survey 2025 — language usage and primary-language preferences.
- GitHub Octoverse 2025 — contributors, repositories, developer growth, and AI-project activity.
- TIOBE Index — monthly programming-language popularity ranking.
- Stack Overflow Developer Survey 2025 — language usage and year-over-year growth.
- SlashData — global developer-population estimate.
- Built In and Coursera — US Python developer salary benchmarks.
Frequently Asked Questions
Is Python still the most popular programming language in 2026?
By the TIOBE Index, yes. Python ranks #1 at 18.96% as of June 2026, ahead of C, C++, Java, and C#. By developer-survey use, Python ranks second in JetBrains’ 2025 data and is the most common primary language in that dataset. On GitHub, TypeScript overtook Python by monthly contributors in August 2025.
How many Python developers are there in 2026?
There is no exact global count. SlashData estimates 47.2 million developers worldwide in 2025, and Python is one of the most-used languages across that population. GitHub records about 2.6 million Python contributors, while 34% of JetBrains respondents name Python as their primary programming language.c
Which Python web framework is most popular?
FastAPI leads the JetBrains/PSF Python Developers Survey at 38% usage, ahead of Django (35%) and Flask (34%). It is also the fastest-growing framework in the survey, rising from 29% in the prior year. Django remains the framework most used by respondents to the Django Developers Survey.
What is the average Python developer salary in 2026?
In the United States, Built In reports an average base salary of $112,382 and average total compensation of $127,649 for Python developers. Coursera cites a $129,000 median total-pay figure from Glassdoor. Developers with seven or more years of experience average about $150,000 in Built In’s dataset.
