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country
stringclasses
3 values
metro
stringclasses
94 values
technology
stringclasses
42 values
role
stringclasses
7 values
developers
int64
50
57.7k
public_email_pct
int64
22
60
open_to_work_pct
int64
4
48
France
*
*
*
11,662
31
18
France
*
*
Software engineering
7,516
33
21
France
Paris
*
*
4,306
32
18
France
*
Python
*
2,913
29
17
France
*
*
AI product
2,507
34
22
France
*
TypeScript
*
2,361
30
22
France
*
*
Infrastructure
2,053
33
20
France
*
Node.js
*
1,972
33
19
France
*
*
AI research
1,508
32
20
France
Paris
Python
*
1,234
29
17
France
*
RAG / Retrieval
*
1,140
33
21
France
*
AI Agents
*
1,031
35
22
France
*
LLM Engineering
*
960
35
23
France
*
PHP
*
896
32
21
France
*
C++
*
887
32
19
France
*
Java
*
882
34
17
France
Paris
TypeScript
*
865
30
22
France
Lyon
*
*
748
33
16
France
Paris
Node.js
*
740
32
19
France
*
Kubernetes / DevOps
*
686
36
20
France
*
PyTorch / ML
*
589
30
19
France
*
AWS
*
580
32
22
France
*
Go / Golang
*
576
34
19
France
*
Rust
*
526
33
22
France
Toulouse
*
*
516
31
21
France
Paris
RAG / Retrieval
*
474
34
20
France
*
Computer Vision
*
463
31
24
France
*
Terraform
*
424
32
21
France
Paris
LLM Engineering
*
420
36
23
France
Bordeaux
*
*
416
35
15
France
Paris
AI Agents
*
409
36
24
France
Nantes
*
*
374
29
16
France
*
React
*
324
35
17
France
Lille
*
*
314
33
17
France
Paris
C++
*
314
35
20
France
*
.NET / C#
*
290
32
17
France
Paris
PyTorch / ML
*
287
32
18
France
Paris
Java
*
281
37
19
France
*
Azure
*
274
31
21
France
Paris
Kubernetes / DevOps
*
271
36
20
France
Paris
PHP
*
253
37
19
France
*
GenAI Media (Image/Video)
*
251
37
21
France
Paris
AWS
*
245
31
23
France
*
LLM Inference / Serving
*
244
34
25
France
Paris
Computer Vision
*
240
32
24
France
Montpellier
*
*
233
33
22
France
Paris
Go / Golang
*
230
36
12
France
*
OVH
*
229
34
21
France
Grenoble
*
*
229
35
16
France
Rennes
*
*
222
34
17
France
*
Ruby
*
210
31
19
France
Paris
Rust
*
203
32
19
France
Marseille
*
*
189
33
21
France
*
*
Data science
179
40
20
France
Nice
*
*
179
32
20
France
*
Angular
*
178
28
21
France
Paris
Terraform
*
178
28
19
France
Lyon
Python
*
174
32
16
France
Lyon
TypeScript
*
161
30
14
France
Strasbourg
*
*
150
34
23
France
*
TensorFlow / ML
*
147
40
24
France
*
Kotlin / Android
*
144
45
28
France
Toulouse
Python
*
144
28
18
France
*
Hugging Face
*
143
23
16
France
*
GCP
*
141
44
26
France
Lyon
Node.js
*
138
34
16
France
Toulouse
TypeScript
*
120
22
22
France
*
*
Data engineering
108
38
24
France
*
Scaleway
*
107
33
18
France
Paris
Azure
*
107
33
13
France
*
JAX
*
103
35
19
France
Bordeaux
Python
*
101
37
22
France
Paris
LLM Inference / Serving
*
101
36
25
France
*
Swift / iOS
*
99
39
19
France
Paris
React
*
97
48
23
France
Paris
GenAI Media (Image/Video)
*
92
39
18
France
Nantes
Node.js
*
91
27
18
France
*
Vue.js
*
90
42
13
France
*
Reinforcement Learning
*
88
32
18
France
Toulouse
Node.js
*
80
36
24
France
Nantes
TypeScript
*
79
30
16
France
Paris
Hugging Face
*
78
24
17
France
Bordeaux
Node.js
*
77
35
18
France
Paris
.NET / C#
*
77
31
22
France
Bordeaux
TypeScript
*
76
38
21
France
Paris
Ruby
*
75
39
16
France
Paris
TensorFlow / ML
*
75
44
31
France
*
Flutter / Dart
*
71
30
31
France
Grenoble
Python
*
70
34
7
France
Lyon
AI Agents
*
70
31
21
France
Lyon
PHP
*
65
38
11
France
Lyon
RAG / Retrieval
*
65
28
23
France
*
GraphQL
*
64
55
19
France
Paris
GCP
*
63
46
35
France
Paris
Kotlin / Android
*
61
44
25
France
Lille
TypeScript
*
60
27
13
France
Montpellier
Python
*
59
27
19
France
Paris
Scaleway
*
56
38
16
France
*
Scala / Spark
*
54
35
22
France
Lyon
LLM Engineering
*
54
35
19
End of preview. Expand in Data Studio

GitHub Developer Index: reachability and availability by city

Aggregated statistics on 82,493 active GitHub developers in the United States, France and the United Kingdom, broken down by metropolitan area, technology and engineering role.

Each row reports how many developers the group contains, what share publish an email address on their GitHub profile, and what share have flagged themselves as available for hire.

Last updated: 2026-09-23. Refreshed monthly.

Files

File Scope
starhunt-developers.csv All three markets
starhunt-developers-us.csv United States
starhunt-developers-fr.csv France
starhunt-developers-uk.csv United Kingdom

Columns

Column Meaning
country United States, France or United Kingdom
metro Metropolitan area, or * for the whole country
technology Technology, or * for all
role Engineering role, or * for all
developers Number of developers in the group
public_email_pct Share with a public email address on their profile
open_to_work_pct Share whose profile is flagged as available for hire

A developer is counted once per group, never once per technology. Rows are a cube: the country total, each city, each technology, each role, and the city-by-technology crossings.

By country

Country Developers Public email Open to work
United States 57,736 39% 22%
United Kingdom 13,095 34% 21%
France 11,662 31% 18%

Largest cities

City Country Developers Public email Open to work
San Francisco United States 9,252 40% 21%
London United Kingdom 6,666 35% 21%
New York United States 5,424 36% 21%
Seattle United States 4,308 39% 18%
Paris France 4,306 32% 18%
Boston United States 2,727 40% 19%
Los Angeles United States 2,178 39% 21%
Chicago United States 1,688 38% 21%
Austin United States 1,643 40% 22%
Denver United States 1,598 39% 21%
Atlanta United States 1,277 36% 22%
Portland United States 1,170 44% 22%
Washington United States 991 38% 23%
Dallas United States 859 39% 26%
San Diego United States 826 39% 19%

Method, and what this does not measure

Figures come from public GitHub profiles and repositories, enriched and deduplicated. Locations are free text on GitHub, so they are normalised to a metropolitan area before counting, and suburbs fold into their hub.

Three limits worth stating.

This measures the developers we have indexed, not every developer in a city: a place with fewer rows may simply be less covered.

"Open to work" is GitHub's own self-declared flag, which people set and then forget. Read it as a floor, not a census.

Groups smaller than 50 developers are excluded entirely. Below that, a percentage is rounding noise rather than a measurement.

Privacy

This dataset contains no individual records: no usernames, no email addresses, no profile URLs. Only counts and percentages over groups of at least 50 people.

License and citation

Released under CC BY 4.0. Free to reuse, including commercially, with attribution.

StarHunt, GitHub Developer Index (2026-09-23). https://www.getstarhunt.com/developer-dataset.html

Full method and tables: https://www.getstarhunt.com/developer-dataset.html

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