Is MATLAB Facing Decline? Insights from the August 2026 TIOBE Ranking

The TIOBE August 2026 programming language ranking has been released, with the headline warning that MATLAB’s days seem to be numbered.

For decades MATLAB was the "Swiss army knife" of scientific computing, offering concise matrix operations, signal processing, control systems, and simulation tools that lowered the programming barrier for researchers and engineers.

Historically, tasks that required dozens of lines of C or Fortran could be accomplished in a few lines of MATLAB, as illustrated by the example:

A = rand(1000);
B = A * A;

MATLAB’s stronghold was reinforced by toolboxes such as Simulink, which remain essential in automotive, aerospace, robotics, and automatic control domains.

However, the competitive landscape has shifted. Former rivals like Fortran, Mathematica, and Maple have been supplanted by a broad open‑source ecosystem. Python now dominates scientific computing and AI, with NumPy, SciPy, Pandas, and PyTorch/ TensorFlow replacing many of MATLAB’s capabilities.

Another critical factor is cost: most modern languages are free, while MATLAB requires a paid license. In the TIOBE top‑20, only MATLAB and Delphi still need commercial licensing, making MATLAB increasingly unattractive to individuals, students, and small teams.

Furthermore, AI programming tools favor languages with large, well‑labeled codebases. A 2025 study found that 94% of LLM‑generated code errors stem from type‑checking failures, giving an edge to statically typed languages like TypeScript. Python, C++, Rust, and others continuously add new features, while MATLAB appears stagnant.

AI tools can now generate correct boilerplate code, suggest idiomatic patterns, and explain errors, reducing the friction of learning new languages. This diminishes MATLAB’s advantage of a simple syntax for matrix calculations, as AI can produce comparable Python code for free.

Despite these pressures, MATLAB is unlikely to disappear entirely. Its niche is shifting from a general‑purpose development language to a specialized tool for professional domains, supported by irreplaceable assets such as Simulink and extensive legacy codebases that would cost millions to rewrite.

The TIOBE index also highlights rising languages like OCaml and Zig, which may fill the slots vacated by MATLAB. The full ranking lists (top‑10, 11‑20, 21‑50, 51‑100) are provided in the original article.

Finally, the article offers practical advice for learners: choose Python for AI and data science, JavaScript/TypeScript for front‑end development, Java or C# for enterprise back‑end work, C++ (or Rust for long‑term investment) for systems and game development, and consider Rust or Go for challenging projects.