The September 2026 TIOBE Programming Community Index, which tracks language popularity through search engine activity, reveals a landscape where Python remains dominant but is seeing its share erode, while Julia makes a notable climb toward the top 20. The headline move in the top 10 is R holding steady at #8 — matching its best-ever rank — as statistical programming consolidates around fewer ecosystems.
Python's decline below 18% does not signal a loss of relevance. The language remains the default for AI, data science, and scripting, and TIOBE CEO Paul Jansen notes that the broader pattern is one of consolidation: attention is gathering around fewer ecosystems rather than spreading across a long list of specialized tools. Python and R now dominate the statistical programming space, with fewer niche languages competing for mindshare.
Julia's approach to the top 20 marks a significant milestone for the language, which has been building momentum in scientific computing, numerical analysis, and high-performance data work. The language's ability to deliver near-C performance with a high-level syntax continues to attract users who need both productivity and speed.
Rust continues to hold its top-10 position, bolstered by recent language improvements. The Rust team is preparing an improved borrow checker for stabilization, which will allow more sound code to compile by relaxing some of the strictest reference rules. Go 1.27 brought support for generic methods, further maturing the language that dominates cloud-native infrastructure. Meanwhile, Java 28 is set to deprecate macOS/x64 support, and PHP remains the most deployed server-side language on the web at 70.2% of detectable sites.
The 2025 JetBrains Developer Ecosystem report adds context: TypeScript passed both Python and JavaScript in monthly GitHub contributors, and 84% of Stack Overflow respondents now use or plan to use AI coding tools — up from 76% in 2024. Among professional developers, more than half use AI tools daily. The report also notes that embedding AI has become as common as data processing in developer workflows.
For developers and IT leaders, the September 2026 landscape suggests a few practical takeaways: Python's dominance in AI and data is secure, Rust and Go are the languages to watch for infrastructure and systems work, Julia is reaching a tipping point in scientific computing, and AI-assisted development is now mainstream — reshaping how code gets written regardless of the language chosen.