TIOBE Index for October 2026: Python Rises as Julia Rejoins the Top 20

October 2026 TIOBE Index sees Python rebound, Java narrow the gap with C++, R pass SQL, Rust hold No. 10, and Julia return to the top 20 after three years.

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Liz Ticong
Liz Ticong
Oct 12, 2026
TIOBE Index for October 2026: Python Rises as Julia Rejoins the Top 20

Python remains No. 1 in October’s TIOBE Index as Java narrows C++’s lead and Julia returns to the top 20. Image generated with ChatGPT.

Python regained ground in October’s TIOBE Index, while Java narrowed its gap with C++ and Julia returned to the top 20 for the first time in three years.

The October 2026 rankings kept the top five programming languages in the same order, with Python maintaining a substantial lead. R overtook SQL in the only ranking change within the top 10.

However, this month’s results come with an important caveat. TIOBE has expanded its methodology to include Mandarin Chinese search terms, meaning some rating changes may reflect broader data coverage rather than shifts in developer interest.

The TIOBE Programming Community Index tracks programming language popularity using search activity related to skilled engineers, courses, and third-party vendors.

Historical trends trace the popularity of programming languages over decades. Image: TIOBE Software.

Python and C recover rating share

Python climbs from 17.76% to 19.23%, reversing September’s decline. Even after the gain, its rating remains 5.23 percentage points below October 2025.

C rises from 10.28% to 11.33% and is 2.04 points above its rating a year ago. That gives second place more distance from C++, while the tighter contest now sits one rung lower.

The movements reinforce Python’s position at the top of the index, although the methodology change makes it difficult to attribute the gains entirely to changes in programming language interest.

Java cuts the distance to C++

C++ improves to 8.87%, while Java reaches 8.41%. Their gap has moved from 0.37 percentage points in August to 1.13 in September and back to 0.46 this month, keeping third place unsettled despite another month without a ranking change.

C# drops to 3.79% in fifth. It now trails Java by 4.62 points but stands only 1.02 points above JavaScript, putting it farther from the C++-Java contest than its fifth-place ranking alone might suggest.

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JavaScript remains sixth at 2.77%, while Visual Basic holds seventh at 2.20%. R’s rise to 2.06% puts additional pressure on that part of the table, with only 0.14 points between seventh and eighth.

R takes eighth as Rust faces pressure at No. 10

R rises to 2.06%, moving ahead of SQL at 1.97%. The year-over-year comparison adds context: R ranked No. 13 in October 2025 and now sits eighth, while SQL has advanced from tenth to ninth.

Rust holds No. 10 for a fourth consecutive month at 1.44%, with Go immediately behind at 1.39%. Rust ranked No. 16 a year ago, so its longer-term rise remains notable even though a 0.05-point margin means another ranking change would not take much.

The small differences between several languages near the bottom of the top 10 mean their positions could change in future editions, although monthly ranking movements do not necessarily indicate broader adoption trends.

Julia returns after a three-year absence

Julia reaches No. 18 at 0.88%, advancing from No. 21 last month and No. 30 last year. Its 12-place rise over the year gives more context to TIOBE CEO Paul Jansen’s suggestion that the latest appearance may prove more durable than its previous top-20 run.

Jansen attributes the language’s appeal to a combination of performance and accessibility. Python offers an approachable route into numerical computing but can run into speed limits, while C++ delivers stronger performance with a steeper learning curve. Julia is designed to occupy the territory between them.

His explanation suggests Julia could build a lasting specialist audience without needing to challenge Python on overall popularity.

The next test is whether Julia can maintain its position. At 0.88%, it sits only 0.06 percentage points above No. 21 Ada, leaving little room for movement near the top-20 boundary.

More broadly, October’s results illustrate how language rankings can shift even when the leading technologies remain unchanged. For developers and technology leaders, the index offers a useful snapshot of programming language visibility, but project requirements, ecosystem support, and developer expertise remain more meaningful considerations when choosing a language.

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Liz Ticong

Liz Ticong is a technology writer specializing in artificial intelligence, cybersecurity, software reviews, and emerging business technologies. With more than a decade of professional writing experience and over five years contributing technology content for TechnologyAdvice, she helps readers understand complex technologies and evaluate the tools that best fit their needs. Liz has extensive experience researching, testing, and analyzing software platforms, AI tools, and technology solutions. Her work includes in-depth software reviews, buyer’s guides, product comparisons, and technology news coverage designed to help businesses make informed purchasing and implementation decisions. She regularly evaluates AI applications, automation tools, cybersecurity solutions, and business software, providing practical insights based on hands-on testing and research. In addition to her work with TechnologyAdvice, Liz has contributed technology content to leading industry publications, including eWeek and TechRepublic. Her background in technical writing and software analysis enables her to translate complex technical concepts into clear, actionable guidance for both business and technology audiences. Liz holds a bachelor's degree in Broadcast Communication from the Polytechnic University of the Philippines and continues to expand her expertise through ongoing education in artificial intelligence and emerging technologies. Through her writing, she helps readers navigate a rapidly evolving technology landscape with practical, research-driven insights and real-world product analysis.