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Top 10 Most Popular IoT Programming Languages in 2018-19
- Assembler is apt to make your IoT project compact, minimal and optimal.
- An assembler expert can work out many optimization tricks (thanks to minimal overhead) not available in any other programming mode. Downside: no safety net if the code goes wrong.
- Assembler code writing is not for everybody too. Writing assembler code for a processor doesn't mean you can write it for another. Not the best language to work on a prototype either.
- Assembler packages and assembles pure machine code efficiently to be executed by the processor.
- In the world of large system languages, B# is a small, efficient embedded control language. Thanks to embedded virtual machine (EVM), B# can run on various platforms with only 24k memory, compared to overhead on other packages, this is less.
- B# keeps it minimal, mirroring C, but retaining only embedded project-required features. Instead, it adds support to critical real-time control functions. If your project is small enough and not complex as Raspberry Pi, then B# is your language.
- If you think embedded systems, C is a great choice for IoT. Completing complex tasks is simpler in C. The most widely used programming languages use C syntax.
- Also, finding developers with extensive experience in C is easy. C doesn't provide ample support to GUI, one reason for its IoT unpopularity.
- As experts see it, C is the language for embedded systems programming. Its proximity to machine language makes it impressively fast.
- A more layered language with its objects, classes, and abstractions. If you want to go beyond C and use programming code for IoT and embedded code, especially with Linux, C++ is the go-to program. As per 2018 statistics, Linux is the top IoT operating system.
- Way ahead of C in embedded programming, Go is great for data gathering and data distribution to various sensors.
- Sorting an entire network of sensors and making use of related IoT programming related devices, is a Go Lang advantage. Available on varied platforms and processors, Go is loaded with several data gathering and distribution facilitating types.
- Go is all for concurrent input, output, and processing on several different channels. Right usage of these elements can help one control an entire set of sensors. At the same time (as different channels are not aware of each other), a programmer's glitch may cause the system to behave unpredictably.
- A front-end web application that will work wonders for IoT, especially when you go with Apache server on Raspberry Pi. It involves collecting data from a network of sensors.
- Unlike C and C++, there are hardly any hardware-based dependencies to go with Java. It is a portable, object-oriented language. With hardly any hardware dependencies built into the compiler, Java makes use of hardware support libraries (called from generic code).
- If you consider the return on investment, Java is a good bet. A language that developers can easily learn and practice. IoT app makers must be more concerned if their selected platform supports Java and whether hardware support libraries in use contain required control functions.
- Need parallel processing for your IoT application? Go for parasail. An evolved language, compiled and object-oriented, it can be programmed with C, Java or Python syntax.
- Python is a good choice for an IoT app that requires readability and compact code. Its flexibility allows distribution of compact executable code. It can also be run through any run-time compiler for this purpose.
- Organized and neat, Python's clean syntax is great for database arrangement. If any app requires data to be arranged in a database format and uses tables for data control, Python is your thing. It is also miles ahead of C, C++ in embedded platforms.
- Developed by Mozilla, shares many Go lang qualities. It fixes one big Go lang drawback, the latter's automatic information sharing ability among various channels. Rust fixed this problem by building support functions.
- Rust is now popular among IoT programming languages, especially for concurrent programming. Possible glitch - the processor should support concurrent processing, to use Rust.