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R AnalyticFlow VS D (Programming Language)

Compare R AnalyticFlow VS D (Programming Language) and see what are their differences

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R AnalyticFlow logo R AnalyticFlow

Open source data analysis software built on R, for interactive data analysis with or without R programming. Works on Windows, Mac, and Linux.

D (Programming Language) logo D (Programming Language)

D is a language with C-like syntax and static typing.
  • R AnalyticFlow Landing page
    Landing page //
    2019-05-09
  • D (Programming Language) Landing page
    Landing page //
    2023-05-09

R AnalyticFlow features and specs

  • User-Friendly Interface
    R AnalyticFlow provides a graphical user interface that makes it easier for users to manage R scripts and visualizations, especially for those who are not familiar with R's command line interface.
  • Workflow Management
    The software allows users to organize analysis processes using flowcharts, which can simplify complex workflows and improve project management.
  • Integration with R
    R AnalyticFlow integrates seamlessly with the R language, allowing users to leverage the full power of R's statistical and graphical capabilities within a more accessible environment.
  • Reproducibility
    The tool enhances reproducibility by allowing users to document and visualize their data analysis processes, making it easier to revisit and reproduce results.

Possible disadvantages of R AnalyticFlow

  • Limited Advanced Features
    Compared to more specialized or powerful workflows and integrated development environments (IDEs) for R, R AnalyticFlow may lack some advanced features needed for complex statistical analyses.
  • Learning Curve
    Despite a more user-friendly interface, new users still need to learn how the flow-based system works, which may take some time, especially for those entirely new to R.
  • Dependence on R
    While integration with R is an advantage, it also means users are dependent on R and its packages, which can occasionally lead to compatibility issues or require additional time for troubleshooting.
  • Resource-Intensive
    The graphical nature of R AnalyticFlow can be resource-intensive, potentially impacting performance on older or less powerful computers.

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.

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

R AnalyticFlow videos

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D (Programming Language) videos

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D Language Tutorial

Category Popularity

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

R AnalyticFlow

D (Programming Language)

Data Dashboard
100 100%
Data Dashboard
0% 0
Programming Language
5 5%
Programming Language
95% 95
Data Visualization
100 100%
Data Visualization
0% 0
OOP
0 0%
OOP
100% 100

User comments

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Social recommendations and mentions

Based on our record, D (Programming Language) seems to be more popular. It has been mentiond 56 times since March 2021. 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.

R AnalyticFlow mentions (0)

We have not tracked any mentions of R AnalyticFlow yet. Tracking of R AnalyticFlow recommendations started around Mar 2021.

D (Programming Language) mentions (56)

  • 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 / 2 months ago
  • Apple didn't fix Swift's biggest flaw
    Those languages are definitely with us, https://dlang.org/ https://www.embarcadero.com/products/delphi https://www.mikroe.com/mikropascal-arm https://www.eiffel.com/ https://www.ptc.com/en/products/developer-tools/objectada. - Source: Hacker News / 12 months ago
  • Berry is a ultra-lightweight dynamically typed embedded scripting language
    Show examples on the main web page. Try and find an AngelScript example. It's stupidly hard. Compare it to these web sites: https://dlang.org/ https://koka-lang.github.io/koka/doc/index.html https://vale.dev/ http://mu-script.org/ https://go.dev/ https://www.hylo-lang.org/ Sadly Rust fails this too but at least the Playground is only one click away. And Rust is mainstream anyway so it doesn't matter as much. I... - Source: Hacker News / over 1 year ago
  • Small Joys with Odin
    >and D The D language, that is. https://dlang.org. - Source: Hacker News / almost 2 years ago
  • Red Programming Language
    You are both right it seems. GP seems to have omitted withour GC. Number one on your list could be Dlang no? Not affiliated. https://dlang.org/. - Source: Hacker News / almost 2 years ago
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What are some alternatives?

When comparing R AnalyticFlow and D (Programming Language), you can also consider the following products

R Lang - R is a free software environment for statistical computing and graphics.

Nim (programming language) - The Nim programming language is a concise, fast programming language that compiles to C, C++ and JavaScript.

Reshape.XL - Data Wrangling Tool for Excel. Simple and effective way to process your data in Excel.

Go Programming Language - Go, also called golang, is a programming language initially developed at Google in 2007 by Robert...

RStudio - RStudio™ is a new integrated development environment (IDE) for R.

V (programming language) - Simple, fast, safe, compiled language for developing maintainable software.

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