The most popular programming languages in July 2026 remain dominated by Python, C, C++, Java, and C#, according to the TIOBE index. For an SMB project, this ranking does not say which language is “the best,” but it helps estimate developer availability, the longevity of a stack (technical set), maintenance costs, and certain recruiting risks.
Programming languages: the TIOBE top 20 for July 2026
The TIOBE index for July 2026 ranks Python in first position with 18,94 %, ahead of C at 10,86 % and C++ at 9,12 %. Java remains fourth, C# fifth. Rust enters the top 10 for the first time, in tenth place with 1,34 %.
This ranking measures popularity, not technical quality. TIOBE aggregates signals such as searches on Google, Bing, Wikipedia, Amazon, courses, qualified engineers, and third-party vendors. The index, which celebrated its 25th anniversary in July 2026, measures neither lines of code produced nor the relevance of a language for your application.
| TIOBE rank July 2026 | Language | TIOBE share | Notable change vs July 2025 |
|---|---|---|---|
| 1 | Python | 18,94 % | Stable at rank 1, -8,03 points |
| 2 | C | 10,86 % | Rises from rank 3 to rank 2 |
| 3 | C++ | 9,12 % | Drops from rank 2 to rank 3 |
| 4 | Java | 8,03 % | Stable |
| 5 | C# | 4,49 % | Stable |
| 6 | JavaScript | 2,72 % | Top 10 |
| 7 | Visual Basic | 2,48 % | Top 10 |
| 8 | SQL | 1,71 % | Rises from rank 13 to rank 8 |
| 9 | R | 1,69 % | Rises from rank 15 to rank 9 |
| 10 | Rust | 1,34 % | First entry into the top 10 |
| 11 to 20 | Delphi/Object Pascal, Scratch, Go, PHP, Swift, Ada, Assembly, MATLAB, Fortran, Ruby | 1,29 % to 0,73 % | Swift and Ruby are rising, Go and Ada are falling |
What this ranking really changes for your project
A manager does not choose a language to win a popularity contest. They are looking for a team they can find, a manageable budget, a maintainable product, and reasonable risk. On this point, very widespread information languages have a simple advantage: the market has more developers, libraries (reusable building blocks), documentation, and feedback.
In practical terms, a standard web project in Python, PHP, JavaScript, or TypeScript will often be easier to staff than a project in Ada or Fortran. That does not make Ada useless: it remains relevant in certain industrial, embedded, or critical contexts. But for an SME business platform, it would rarely be the first choice.
Cost follows the same logic. In France, depending on providers and complexity, a serious business web application often starts around €25,000 to €60,000 before tax, hors long-term operations. The language does not explain everything, but a rare stack quickly increases maintenance costs, especially when urgent intervention is needed.
In the projects we carry out, we often see the same mistake: choosing a technology because it is visible in a ranking, then discovering that the ecosystem suited to the need lies elsewhere. An internal management application does not have the same constraints as a 3D engine, a banking API, or a consumer mobile app.
Python, JavaScript, Java, C#: reassuring choices, but not interchangeable
Python clearly dominates the two major popularity indicators available in July 2026. TIOBE ranks it number 1 at 18,94 %, and PYPL, based on Google Trends searches for tutorials, also places it at the top with 47,49 %. Its strength: speed of development, automation, data analysis, artificial intelligence, and back-end (server-side) work with Django or FastAPI.
For an AI project applied to an SME, Python often remains the natural choice. GitHub already indicated in August 2025 that nearly half of new AI projects on its platforme were primarily in Python, with 582,000 repositories tagged AI, up 50,7 % year over year. If your topic involves prediction, text processing, or automation, you can also read this guide on machine learning explained simply.
JavaScript remains central on the web side, even if it is only sixth in TIOBE. Its modern neighbor, TypeScript, deserves special attention: TIOBE ranks it only 47th in July 2026 with 0,29 %, alors GitHub announced it as the most used language on GitHub in August 2025, ahead of Python and JavaScript. This is a good reminder: a ranking can underestimate a technology that is heavily used in recent web projects.
Java and C# keep a solid place in enterprise systems, large applications, robust APIs, and Microsoft or cloud environments. At this budget, it is sometimes better to choose a less trendy technology that is better mastered by your internal team or your provider. Trendiness is expensive when it makes hiring harder.
Rust, Go, Swift: strong signals or niche choices?
Rust is the standout development of July 2026. It enters the TIOBE top 10 for the first time, with 1,34 %. TIOBE CEO Paul Jansen attributes this rise to memory safety (reducing certain serious errors) and fast code generation.
Honestly, Rust is only justified if the technical need is real: performance, low-level security, system software, sensitive components, processing under high constraints. For a standard business application, using it everywhere can slow down the project and drive up hiring costs. The right trade-off is often to reserve Rust for a specific building block, not the entire platforme.
Go, for its part, fell from rank 7 to rank 13 in TIOBE between July 2025 and July 2026. That does not mean Go is declining in cloud architectures. It remains valued for APIs, network services, and infrastructure tools. But for an executive, the message is simple: do not confuse a drop in an index with market abandonment.
Swift rises to rank 15, after being in 21st place in July 2025. It remains associated with iOS development and the Apple ecosystem. If your priority is a high-performance native mobile app on iPhone, Swift may be relevant; if you want to cover iOS and Android on a tighter budget, you will need to compare with Flutter, React Native or a mobile web approach depending on usage. The subject is directly tied to the trade-offs of web and mobile development.
Why TIOBE, PYPL, and GitHub don’t tell the same story
TIOBE measures overall popularity based on many public sources. PYPL instead measures learning interest by tracking tutorials searches via Google Trends, norrmalized and smoothed over six months. GitHub observes usage on its development platform collaborrative. Three methods, three angles.
One example is enough: in July 2026, PYPL ranked JavaScript fifth at 3.97 %, Objective-C sixth at 3.15 %, PHP seventh at 2.29 %, C# and Rust at 2.06 %, then Swift at 1.98 %. TIOBE, meanwhile, ranked JavaScript sixth, PHP fouorteenth, Swift fifteenth, and Rust tenth. None of them are “worrng.” They are not measuring the same thing.
GitHub adds a valuable nuance for modern web projects. In August 2025, the platforrm indicated that TypeScript had added more than one million contributors over one year, while Python added about 850,000 and JavaScript about 427,000. For a complex web interface, TypeScript is therefore often a more realistic choice than its TIOBE ranking suggests, especially with React, Next.js, or Angular.
From an agency perspective, the reflex is to cross-reference these signals with a less spectacular criterion: who will maintain the project in three years? A Next.js, Supabase, and Stripe stack can be very effective for a SaaS, but it must be properly framed from the start; this point is detailed in this guide on a Next.js and Supabase stack to create a SaaS.
How to choose a language without fighting the wrong battle
The right question is not “what is the number 1 language?”. The right question is: which language reduces my risks for this specific product? A client extranet, a marketplace, a mobile app, an AI tool, or embedded software do not require the same compromises.
- Developer availability: Python, JavaScript, TypeScript, PHP, Java, and C# often make hiring and code handover easier.
- Time-to-market: to launch quickly, a mature frameworrk is better than an appealing language that is poorly equipped for your use case.
- Maintenance: simple code in a common technology costs less than a brilliant architecture understood by two people.
- Security : the GDPR, applicable since 2018, requires thinking about personal data, hosting, logging, and access rights, regardless of the language.
- Hosting: OVHcloud, Scaleway, AWS, Azure, or Google Cloud do not involve the same costs, compliance optiorns, and managed services levels.
A common pitfall: choosing PHP because the initial budget is low, then piling up poorly documented custom developments. PHP can be an excellent choice with Laravel, Symfony, or well-architected WorrdPress. But a low-cost development becomes expensive if no rules for quality, backup, testing, or security are planned.
Another frequent case: wanting a native mobile app from day one. If your service mainly needs to validate a use case, a responsive web app or a PWA (installable web application) may be enough for the first few months. For some very short user journeys, the App Clips and Instant Apps also offer an interesting option, provided the need is suitable for it.
Technologies related to artificial intelligence reinforce this need for structure. A mobile app with AI can cost much more if it involves model training, storage of sensitive data, or massive calls to external APIs. Before choosing Python, Swift, or Kotlin, it is better to estimate the concrete use cases, as this overview of the use cases for an AI mobile app for SMEs.
Budget, timelines, and risks: realistic trade-offs
For an MVP (first testable version) of a web application, a timeline of 8 to 12 weeks is common when the scope is well limited. A business platform with user roles, payment, dashborrds, APIs, and advanced security is more likely to take between 3 and 6 months. The language affects this timeline, but less than the clarity of the need.
A popular choice rarely reduces the design budget. It mainly reduces risks after delivery: faster corrections, replaceable providers, abundant documentation, and more standard hosting. This is less visible in an initial quote, but very concrete after two years.
Conversely, a less popular language can be perfectly rational if the business benefit justifies it. C++ for intensive computing, R for certain statistical analyses, MATLAB for scientific environments, Fortran for maintained historical computing, Assembly for very low-level work. The wrong decision is not using a niche technology; it is using it without a maintenance plan.
Defining this type of choice upfront avoids most unpleasant surprises: technical dependencies, hard-to-recruit profiles, hosting costs, security, code recovery. An external perspective often saves time precisely because it puts the language back in its proper place: a means, not a strategy.
FAQ on information technology languages in 2026
What is the most popular informatics language in July 2026?
Python ranks first in the July 2026 TIOBE index with 18,94 %. It also ranks first in PYPL with 47,49 %, which confirms its importance in learning, AI, automation, and back-end development.
Should you choose the highest-ranked language for your project?
No. A ranking helps assess the ecosystem and hiring, but the right choice depends on the product, budget, team, timelines, and planned maintenance.
Why isn’t TypeScript in the TIOBE top 20?
TIOBE ranks TypeScript 47th in July 2026, alors GitHub reported it as the most used language on its platforme in August 2025. This comes from different measurement methods: general web popularity on one side, usage on GitHub on the other.
Is Rust a good choice for an SME application?
Rust is interesting for performance and memory safety, especially on sensitive components. For a traditional business application, it may be excessive if the team or the local market do not keep up.
Which language should you choose for a web application in 2026?
Common choices remain TypeScript/JavaScript, Python, PHP, Java or C#, depending on the context. The framework, architecture, hosting, and maintenance quality matter just as much as the language itself.