D (Programming Language) VS JSPython

D (Programming Language)

D is a language with C-like syntax and static typing.

JSPython

Python-like syntax interpreter implemented with javascript that runs entirely in the web browser and/or in the NodeJS environment.

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2023-05-09

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2022-03-07

D (Programming Language)

Website: dlang.org
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JSPython

Website: jspython.dev
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D (Programming Language) features and specs

Performance
D is designed to be a high-performance systems programming language, offering performance comparable to C and C++ through native machine code compilation.
Expressiveness
D features a rich standard library and modern language constructs, such as garbage collection, first-class arrays, and advanced templating, making it easier to write expressive and maintainable code.
Memory Safety
D offers optional garbage collection along with manual memory management. This hybrid approach can help in developing safer applications by reducing memory-related errors.
Interoperability
D can easily interoperate with C API, enabling seamless integration with existing C libraries and systems. It also supports better C++ interoperability compared to other languages.
Built-in Unit Testing
D has built-in support for unit tests, allowing developers to write and run tests as part of the language itself, facilitating test-driven development.
Concurrency
D offers built-in concurrency support with message passing, similar to the actor model found in languages like Erlang, making it easier to write concurrent and parallel programs.

Possible disadvantages of D (Programming Language)

Adoption
D is not as widely adopted as other languages like C, C++, or Java. This limited adoption means fewer libraries, frameworks, and community support.
Toolchain Maturity
While D's compilers and tools have improved over the years, they may still lack the maturity and feature set of more established languages, which can affect developer productivity.
Learning Curve
D's richness and combination of paradigms (such as imperative, object-oriented, and functional programming) can present a steep learning curve for new developers.
Garbage Collection
Although D offers optional garbage collection, its reliance on it for memory safety might be seen as a drawback for real-time system development where deterministic memory management is crucial.
Ecosystem
The ecosystem for D is less vibrant compared to more popular languages, leading to potentially fewer third-party libraries, tools, and resources.
Standard Library Documentation
The standard library documentation can be inconsistent or less comprehensive compared to other languages, making it difficult for developers to fully utilize all features of the language.

JSPython features and specs

Ease of Use
JSPython allows developers to write Python code to manipulate DOM elements, making it easier for those familiar with Python to develop web applications.
Integration with JavaScript
It enables seamless integration with JavaScript, allowing developers to leverage existing JavaScript libraries and frameworks alongside Python code.
Faster Development
By using Python, developers can potentially write more concise and readable code, which may speed up the development process.
Cross-Platform Compatibility
JSPython runs in the browser, allowing developers to create cross-platform web applications without concern for server-side compatibility.

Possible disadvantages of JSPython

Learning Curve
Developers familiar with JavaScript but not Python may need time to learn Python syntax and paradigms, which could slow down initial development.
Performance Overhead
Running Python in the browser via transpilation or interpreters can lead to performance overhead compared to native JavaScript execution.
Limited Ecosystem
The ecosystem and community support for Python in web development is not as mature or extensive as for JavaScript, possibly limiting resources and libraries.
Dependency on External Tools
The need for additional tools and libraries to transpile or interpret Python code in the browser adds complexity to the development and build process.

Analysis of D (Programming Language)

Overall verdict

Overall, D is a solid programming language choice that balances performance with productivity. It may not be as widely adopted as some other languages, but it has a dedicated community and continues to evolve, making it a viable option for various programming tasks.

Why this product is good

The D programming language is considered good by many developers for various reasons. It combines the performance and low-level control of C/C++ with the expressive power and ease of use found in modern languages. D offers features like garbage collection, first-class functions, and compile-time function execution, providing both speed and flexibility. Its interoperability with C, the convenience of a powerful standard library (Phobos), and the availability of packages via the DUB package manager make it a practical choice for systems programming, application development, and rapid prototyping.

Recommended for

System programming enthusiasts looking for an alternative to C/C++
Developers interested in writing high-performance applications
Programmers who appreciate modern language features and strong community support
Projects requiring seamless C integration
Individuals looking for a language that supports easy code maintenance and scalability

Analysis of JSPython

Overall verdict

JSPython is a solid, lightweight choice for developers who want to embed Python-like scripting inside JavaScript or TypeScript applications, offering a familiar syntax and seamless interoperability with the JS ecosystem, though it is not a full Python replacement.

Why this product is good

It lets you write Python-like syntax that runs directly in JavaScript environments, both in the browser and Node.js
Provides seamless interoperability, allowing scripts to call JavaScript functions and access JS objects easily
Lightweight and easy to embed, making it useful for adding user-configurable scripting to apps
Open source and free to use, with an active focus on data manipulation and expression evaluation
Great for enabling non-developers or end users to write logic without a heavy runtime

Recommended for

Developers building applications that need embedded, user-editable scripting logic
Teams creating low-code or no-code platforms requiring safe expression evaluation
Data-driven web apps that need Python-familiar syntax for transformations
Projects where end users with Python knowledge need to customize behavior without full Python runtime
Browser-based tools that require dynamic, sandboxed script execution

D (Programming Language) videos

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D Language Tutorial

JSPython videos

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Category Popularity

0-100% (relative to D (Programming Language) and JSPython)

JSPython

Programming Language

94 94%

Programming Language

6% 6

Generic Programming Language

88 88%

Generic Programming Language

12% 12

OOP

93 93%

OOP

7% 7

Development

100 100%

Development

0% 0

User comments

Share your experience with using D (Programming Language) and JSPython. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, D (Programming Language) seems to be a lot more popular than JSPython. While we know about 60 links to D (Programming Language), we've tracked only 1 mention of JSPython. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

D (Programming Language) mentions (60)

Ask HN: What is your (AI) dev tech stack / workflow? (June 2026)
I've spent 2 weeks (2-4h per day) to make D language[1] version of Sciter SDK [2] Choice of AI "tooling" was by accident - typed something like "how to define copy constructor in D for custom structure" in Microsoft's Copilot in Edge browser that gives context for AI. The answer was good enough for me and so I went with it further. [1] D language HQ : https://dlang.org/. - Source: Hacker News / 2 months ago
Rue: Higher level than Rust, lower level than Go
> Mostly, I am not really trying to compete with C/C++/Rust on speed, but I'm not going to add a GC either. So I'm somewhere in there. Out of curiosity, how would you compare the goals of Rue with something like D[0] or one of the ML-based languages such as OCaml[1]? 0 - https://dlang.org/ 1 - https://ocaml.org/. - Source: Hacker News / 8 months ago
Pony: An actor-model, capabilities-secure, high-performance programming language
The D language home page has something similar with a drop down with code examples https://dlang.org/. - Source: Hacker News / about 1 year ago
Show HN: D++lang – A new systems programming language with Python-like syntax
What is this? There's a lot of red flags here. * The name "D" for a programming language was taken in 1999: https://dlang.org/. - Source: Hacker News / about 1 year ago
Koto Programming Language
>For me the biggest gap in programming languages is a rust like language with a garbage collector, instead of a borrow checker. I cannot agree more that's the much needed sweet spot/Goldilock/etc. Personally I have been advocating this approach for some times. Apparently the language is already widely available and currently has stable and wide compiler support including the venerable GNU compiler suite (GDC). It... - Source: Hacker News / over 1 year ago

JSPython mentions (1)

How to open and analyse large JSON files online
# Welcome to JSPython (https://jspython.dev) Data = openFileAsArray({ take: 1000 #skip: 1000 }).data # work with data array here Return data. - Source: dev.to / about 4 years ago