Python holds the top spot on the TIOBE Index with its widest lead over the rest of the field in the index's history, and in March 2026 Java fell to fourth place — its lowest position on the index ever. On the surface, that looks like a clean verdict: Python has won. But TIOBE is only one way of measuring a language's relevance, and the other major rankings tell a noticeably different story.

Four rankings, four different winners

Stack Overflow's developer survey, which measures what languages people actually report using day to day, puts JavaScript at the top with 66% of developers using it — a far larger raw usage base than Python shows on TIOBE. Meanwhile, GitHub's contributor data shows TypeScript overtaking Python in contributor growth, with a 66% year-over-year jump in contributors to TypeScript projects, pointing to a language whose ecosystem is expanding fastest in absolute terms even though it doesn't top any single popularity index outright. Each ranking is measuring something genuinely different: TIOBE tracks search-engine and index-based signals, Stack Overflow tracks self-reported usage, and GitHub tracks active contribution — and a language can lead on one while trailing on another.

Why the discrepancy matters more than the rankings themselves

The practical risk for developers is treating any one index as a definitive career signal. Python's TIOBE dominance largely reflects how often the language comes up in search and documentation activity — a reasonable proxy for how much people are learning and referencing it, especially given its heavy use in AI and data science tooling. JavaScript's Stack Overflow lead reflects the sheer number of working developers who touch it, largely because it remains the default language of the web. TypeScript's GitHub contributor growth reflects a different thing again: an ecosystem where more engineering teams are actively migrating existing codebases and building new tooling, not just using the language passively.

What this means when you're choosing where to invest

• If you're optimizing for the largest pool of job openings, JavaScript and Python both remain safe, high-volume choices — their dominance across multiple rankings, not just one, is the more reliable signal.
• If you're already in the JavaScript ecosystem, the contributor growth data suggests TypeScript specifically, rather than plain JavaScript, is where new tooling and team conventions are heading.
• If you're drawn to systems-level or infrastructure work, it's worth remembering that languages like Rust and Go don't lead any of these popularity indexes, yet continue to show some of the strongest developer sentiment and demand in their specific niches — a reminder that "most popular" and "most valuable to learn for your goals" aren't always the same question.

None of the major indexes is wrong, exactly — they're just answering different questions. The more useful habit for developers planning a skill investment is asking what each ranking actually measures before treating its top spot as the answer.