Key Takeaways
- In TechEmpower benchmarks Round 22, Fiber (Go) tops plaintext at 1.5M req/s
- Actix (Rust) leads JSON serialization at 800k req/s in TechEmpower R22
- Vert.x (Java) #1 for fortunes DB at 500k req/s TechEmpower R22
- As of October 2023: June 2026, Python is the most popular programming language in the TIOBE Index with a rating of 25.35%
- Java holds the second position in the TIOBE Index October 2023 with 10.91% rating
- In PYPL Index October 2023, Python leads with 28.54% share
- Java developers earn average $120k USD in US per SO 2023
- Python devs median $125k in Stack Overflow 2023 US
- JavaScript salary $110k median SO 2023
- TIOBE index Python grew 10x since 2002 from 0.6% to 25%
- JavaScript doubled in GitHub usage 2014-2023 to 33%
- Rust entered top 20 TIOBE in 2020, now top 10 2023 +500%
- In 2023 Stack Overflow survey, 63% of developers use JavaScript
- Python used by 50% of professional developers in 2023 SO survey
- 48% of devs use HTML/CSS per Stack Overflow 2023
In 2023, Python led popularity while Rust and WebAssembly pushed performance, and Kotlin and Java dominated developer adoption.
Related reading
01 · Category
Performance Benchmarks27 stats
Performance Benchmarks Interpretation
02 · Category
Popularity and Rankings30 stats
Popularity and Rankings Interpretation
03 · Category
Salary and Job Market28 stats
Salary and Job Market Interpretation
More related reading
04 · Category
Trends and Growth30 stats
Trends and Growth Interpretation
05 · Category
Usage and Adoption28 stats
Usage and Adoption Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Marcus Afolabi. (2026, February 13). Programming Languages Statistics. Gitnux. https://gitnux.org/programming-languages-statistics
Marcus Afolabi. "Programming Languages Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/programming-languages-statistics.
Marcus Afolabi. 2026. "Programming Languages Statistics." Gitnux. https://gitnux.org/programming-languages-statistics.
Sources & references
57 datasets cited across this report · attribution is report-level

