Country by country
For each country, the technology most developers work with, and the one it leans towards most compared with the index as a whole. The first is usually the same few languages everywhere; the second is what makes a country's pool different.
| # | Country | Developers | Most common | Most distinctive |
|---|---|---|---|---|
| 1 | United States | 60,000+ | Python 34% | Ruby 1.8x |
| 2 | United Kingdom | 13,000+ | Python 29% | Scala 2.1x |
| 3 | France | 11,000+ | Python 25% | PHP 3x |
| 4 | India | 9,300+ | TypeScript 32% | MongoDB 3.7x |
| 5 | Germany | 8,800+ | Python 24% | Scala 2.5x |
| 6 | Brazil | 5,400+ | TypeScript 33% | React Native 3.6x |
| 7 | Canada | 5,400+ | Python 30% | GCP 1.8x |
| 8 | China | 5,100+ | Python 31% | Vue.js 6.1x |
| 9 | Japan | 4,500+ | TypeScript 33% | Ruby 3.2x |
| 10 | Spain | 4,100+ | Python 22% | Angular 6.1x |
| 11 | South Korea | 3,600+ | TypeScript 30% | Kotlin 2.8x |
| 12 | Australia | 2,500+ | Python 28% | Azure 1.7x |
| 13 | Netherlands | 2,500+ | Python 24% | Kotlin 2.2x |
| 14 | Poland | 2,100+ | TypeScript 24% | React Native 6.3x |
| 15 | Switzerland | 1,500+ | Python 31% | Kubernetes 1.8x |
| 16 | Vietnam | 1,500+ | TypeScript 37% | React 1.8x |
| 17 | Indonesia | 1,400+ | TypeScript 41% | Flutter 3.1x |
| 18 | Russia | 1,400+ | Python 28% | Go 2x |
| 19 | Sweden | 1,400+ | TypeScript 23% | .NET 1.7x |
| 20 | Italy | 1,200+ | Python 28% | Kubernetes 1.9x |
| 21 | Argentina | 1,100+ | TypeScript 41% | React 2.3x |
| 22 | Sri Lanka | 1,100+ | Node.js 35% | React 2.3x |
Share: part of the country's indexed developers working with the technology. "x": that share against the share across the whole index, smoothed for sample size. Counts are rounded down.
Technology by technology
Where each technology has the most developers, and the three countries that lean towards it most. A country can lead the second column without being large: it means a search there returns a denser pool.
| # | Technology | Share of index | Most developers | Leans most towards it |
|---|---|---|---|---|
| 1 | Python | 27% | United States 20,000+ | United States 1.2x |
| 2 | TypeScript | 25% | United States 11,000+ | Indonesia 1.6x, Argentina 1.5x, Vietnam 1.4x |
| 3 | Node.js | 16% | United States 9,500+ | Sri Lanka 2x, India 1.6x, Argentina 1.2x |
| 4 | Java | 7.2% | United States 2,800+ | South Korea 2.5x, Spain 1.5x, Brazil 1.5x |
| 5 | React | 7% | United States 2,200+ | Brazil 2.4x, Sri Lanka 2.3x, Argentina 2.3x |
| 6 | AWS | 6.5% | United States 5,900+ | Japan 1.7x, Australia 1.5x, Canada 1.5x |
| 7 | C++ | 5.3% | United States 3,500+ | China 1.8x, Russia 1.7x, Poland 1.4x |
| 8 | PyTorch | 5.3% | United States 4,500+ | China 2.5x, Switzerland 1.5x, United States 1.4x |
| 9 | Go | 4.9% | United States 3,400+ | China 2.3x, Russia 2x, Japan 2x |
| 10 | Kubernetes | 4.3% | United States 3,100+ | Germany 1.9x, Italy 1.9x, Switzerland 1.8x |
| 11 | Rust | 4% | United States 2,800+ | Japan 2.1x, China 1.8x, Switzerland 1.7x |
| 12 | .NET | 3.6% | United States 1,900+ | Sweden 1.7x, Poland 1.7x, Russia 1.5x |
| 13 | Azure | 3.5% | United States 2,600+ | Sri Lanka 2x, India 1.9x, Australia 1.7x |
| 14 | PHP | 2.5% | United States 1,000+ | France 3x, Indonesia 2.4x, Germany 2.1x |
| 15 | Kotlin | 1.6% | United States 470+ | Spain 2.9x, South Korea 2.8x, Netherlands 2.2x |
| 16 | Flutter | 1.5% | United States 340+ | Indonesia 3.1x, Brazil 2x, South Korea 1.9x |
| 17 | Ruby | 1.5% | United States 1,600+ | Japan 3.2x, United States 1.8x, Canada 1.7x |
| 18 | Swift | 1.4% | United States 1,200+ | South Korea 2.4x, Japan 2.4x, Spain 1.8x |
| 19 | Angular | 1.4% | United States 720+ | Spain 6.1x, Brazil 2.7x, Germany 2.5x |
| 20 | GCP | 1.3% | United States 1,200+ | Japan 2.3x, Canada 1.8x, United States 1.6x |
| 21 | PostgreSQL | 1.2% | United States 360+ | Brazil 3.1x, India 2x, Spain 1.4x |
| 22 | TensorFlow | 1% | United States 950+ | Germany 1.8x, Canada 1.7x, India 1.7x |
| 23 | React Native | 0.8% | United States 300+ | Poland 6.3x, Brazil 3.6x, India 1.8x |
| 24 | MongoDB | 0.8% | United States 300+ | India 3.7x, Spain 3.7x, Brazil 1.9x |
| 25 | Vue.js | 0.6% | China 200+ | China 6.1x, Spain 4.2x, Japan 2.7x |
| 26 | Scala | 0.5% | United States 340+ | China 5.4x, Germany 2.5x, United Kingdom 2.1x |
| 27 | GraphQL | 0.5% | United States 330+ | India 1.6x, France 1.5x |
| 28 | Solidity | 0.5% | United States 170+ | evenly spread |
How this is measured
Every developer in StarHunt's index is placed in a country from the location on their public GitHub profile, and assigned technologies from their own repositories and the reference projects they contribute to. A developer usually carries several technologies, so shares do not add up to 100.
Three guards keep small samples from producing improbable figures: a country needs 1,000 indexed developers to appear, a technology needs 75 developers in a country to be cited for it, and each index is pulled towards the global average by the equivalent of 300 average developers, which only a large, consistent gap overcomes.
The index is built from contributors to reference repositories for each technology, so it describes active open-source developers, not every developer in a country. Read the counts as a floor and the shares as the shape of that population.
Frequently asked questions
What is the most common technology among GitHub developers in most countries?
Python. It is the most represented technology in 12 of the 22 countries with enough data in StarHunt's index, as of October 2026.
Which country leans most towards React Native?
Poland: 5.8% of its indexed developers work with React Native, 6.3x the share across the whole index.
Why not rank countries by number of developers?
Because the largest country would top every technology, which measures the size of the index rather than anything about the country. The share of local developers and the index against the global average show where a technology weighs most.
How are small countries kept from showing extreme figures?
Countries need at least 1,000 indexed developers and a technology at least 75 developers in a country to be cited. The index is also smoothed towards the global average, more strongly when the sample is small.
Describe the role and the country in plain English, and get developers ranked by what they shipped recently, with the contact details they chose to publish.
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