Software Alternatives, Accelerators & Startups

R Lang VS Ascend

Compare R Lang VS Ascend and see what are their differences

R Lang logo R Lang

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

Ascend logo Ascend

Ascend.io is a platform introduces new cognitive models for working with your big data pipelines.
  • R Lang Landing page
    Landing page //
    2019-10-24
  • Ascend Landing page
    Landing page //
    2018-10-31

R Lang features and specs

  • Comprehensive Statistical Analysis
    R is specifically designed for statistical analysis and data visualization. It offers a wide array of statistical tests, models, and other quantitative techniques.
  • Extensive Package Ecosystem
    The Comprehensive R Archive Network (CRAN) hosts thousands of packages, making it easy to extend the languageโ€™s capabilities with specialized tools and libraries.
  • Data Visualization
    R excels at producing high-quality plots and charts through packages like ggplot2 and lattice, providing powerful tools for data visualization.
  • Strong Community Support
    R has a large and active user community that contributes to forums, documentation, and packages, facilitating easier troubleshooting and knowledge sharing.
  • Open Source
    R is open-source, meaning it is free to use and has a high level of transparency. Users can inspect, modify, and enhance the source code.

Possible disadvantages of R Lang

  • Memory Consumption
    R can consume a significant amount of memory, particularly with large datasets, which can lead to performance issues.
  • Learning Curve
    R has a steep learning curve for beginners, especially for those without a strong background in statistics or programming.
  • Speed
    R is interpreted and can be slower than compiled languages like C++ or Java, especially for computationally-intensive tasks.
  • Less Optimal for General-Purpose Programming
    Although R excels at statistical computing, it is less suited for general-purpose programming tasks compared to languages like Python or Java.
  • Inconsistent Function Names and Syntax
    Because R's packages are often developed independently, there can be inconsistencies in function names and syntax, making it harder for users to seamlessly work across different packages.

Ascend features and specs

  • Open Source
    Ascend is open source, which allows users to freely access, modify, and distribute the software, promoting collaboration and innovation.
  • Flexible Modeling
    The software offers flexible and robust support for modeling complex systems, making it suitable for academic and industrial use.
  • Comprehensive Documentation
    It provides extensive documentation that can help new users get acquainted with the system and support experienced users in troubleshooting.
  • Community Support
    There is a community of users and developers, which can be beneficial for finding solutions to problems, sharing ideas, and contributing improvements.

Possible disadvantages of Ascend

  • Steep Learning Curve
    The flexibility and depth of the software may result in a steep learning curve for new users.
  • Limited Commercial Support
    Unlike some proprietary systems, there may be limited professional support options available for businesses or critical applications.
  • Specialized Use
    Ascend is tailored for a specific type of modeling, which may not be suitable or necessary for all user needs, limiting its broader applicability.
  • User Interface
    Some users might find the user interface less intuitive or modern compared to other commercial modeling software.

Analysis of R Lang

Overall verdict

  • Yes, R is a good choice, especially for those who need to perform complex statistical analyses and create high-quality visualizations. Its extensive ecosystem of packages and support for a variety of data formats make it a versatile tool in data science.

Why this product is good

  • R is highly regarded for its capabilities in statistical analysis and data visualization. It is an open-source programming language that offers a vast array of packages and libraries designed for data analysis, making it a powerful tool for statisticians and data scientists. Its community is active and continuously contributes to its development, ensuring that it stays updated with the latest methods in data analysis.

Recommended for

  • Statisticians who need robust tools for performing detailed data analysis.
  • Data scientists looking for comprehensive libraries for data manipulation and visualization.
  • Researchers who need to perform statistical tests and model implementation.
  • Academics and educators who teach statistics and data analysis.

Analysis of Ascend

Overall verdict

  • Yes, Ascend is generally considered 'good' due to its positive impact on students' development and career readiness.

Why this product is good

  • Ascend, found at ascend4.org, is designed to provide educational resources and mentoring for students, focusing on skill development, career advancement, and personal growth. It offers a supportive community and various programs aimed at enhancing knowledge and capabilities.

Recommended for

  • Students seeking career guidance
  • Individuals looking to improve their skills
  • Mentors who want to support educational initiatives
  • People interested in joining a learning community

Category Popularity

0-100% (relative to R Lang and Ascend)
Technical Computing
83 83%
17% 17
Numerical Computation
74 74%
26% 26
Business & Commerce
100 100%
0% 0
Math Solver
0 0%
100% 100

User comments

Share your experience with using R Lang and Ascend. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, R Lang seems to be more popular. It has been mentiond 5 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 Lang mentions (5)

  • How to generate a great website and reference manual for your R package
    Generating a website for your R package is always a great idea. If the package is based on some paper, it will help it get noticed and eventually used. And once you have a website, it's just as well to include a reference manual for the package in it, that complements or is a bit more updated than the one published in CRAN. Or simply in another format. - Source: dev.to / over 1 year ago
  • R
    This package is definitely related to R language) (see package URL, it points to r-project.org subdomain). Source: about 3 years ago
  • Rr
    Common misconception. Actually it's a Fibonacci sequence, so the next one is https://rrrrr-project.org. This does also mean that there's https://-project.org, and that https://r-project.org secretly disambiguates into two different projects. - Source: Hacker News / over 3 years ago
  • Rr
    We already have https://r-project.org. Now we have https://rr-project.org. So, https://rrr-project.org is next? - Source: Hacker News / over 3 years ago
  • r-project.org is down?
    Thank you, but unfortunately, the archive I'm talking about is the archive of old package versions, which seems to only be available through r-project.org. Source: over 3 years ago

Ascend mentions (0)

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

What are some alternatives?

When comparing R Lang and Ascend, you can also consider the following products

C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

D (Programming Language) - D is a language with C-like syntax and static typing.

Wolfram Mathematica - Mathematica has characterized the cutting edge in specialized processingโ€”and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.

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

Function Analyzer - see the graph of a function