Software Alternatives, Accelerators & Startups
Register | Login

ANKHOR FlowSheet VS SymPy

Compare ANKHOR FlowSheet VS SymPy and see what are their differences

VisualVisitor
Consent-Based Identification of the Person Visiting Your Website Including First Name, Last Name, Email & 37 Other Data Points. Identify and Influence Your Engaged Website Visitors into Sales-Ready Leads – Before You Commit a Single Working Hour. featured
This page does not exist
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

ANKHOR FlowSheet logo ANKHOR FlowSheet

ANKHOR is a revolutionary platform for in-memory processing of data from diverse sources and in...

SymPy logo SymPy

SymPy is a Python library for symbolic computation.
  • ANKHOR FlowSheet Landing page
    Landing page //
    2021-07-28
  • SymPy Landing page
    Landing page //
    2021-12-24

ANKHOR FlowSheet features and specs

No features have been listed yet.

SymPy features and specs

  • Symbolic Computation
    SymPy provides robust support for symbolic mathematics, allowing users to perform algebraic manipulations, calculus, equation solving, and more, symbolically rather than numerically, which can be crucial for exact computations.
  • Open Source and Free
    As an open-source library, SymPy is free to use, modify, and distribute, offering transparency and community contributions to enhance its functionality and reliability.
  • Integration with Python
    SymPy is implemented in Python, which makes it easy to integrate into Python-based workflows and take advantage of other powerful libraries within the Python ecosystem.
  • Extensive Documentation
    SymPy has comprehensive documentation and a large number of tutorials and resources available, which aids users in learning and effectively using the library.
  • Cross-Platform
    Being a Python library, SymPy can be used on any platform that supports Python, ensuring wide accessibility regardless of the operating system.
  • Interactive Use
    SymPy can be used interactively in a variety of environments, such as Jupyter notebooks, which makes it excellent for educational purposes and exploratory computing.

Possible disadvantages of SymPy

  • Performance Limitations
    Since SymPy is purely Python, it may suffer from performance issues, particularly with very large symbolic expressions, compared to libraries implemented in lower-level languages.
  • Numerical Limitations
    SymPy is primarily a symbolic computation library and may not be suitable or optimized for numerical computations compared to dedicated numerical libraries like NumPy or SciPy.
  • Complexity with Large Problems
    For highly complex or large-scale mathematical problems, SymPy can become cumbersome and may require significant memory and computation time.
  • Steeper Learning Curve for Complex Tasks
    While basic functionalities are easy to grasp, mastering advanced features of SymPy can be challenging due to the depth and breadth of its capabilities.

ANKHOR FlowSheet videos

No ANKHOR FlowSheet videos yet. You could help us improve this page by suggesting one.

Add video

SymPy videos

+ Add

Python Sympy Integrals

Category Popularity

0-100% (relative to ANKHOR FlowSheet and SymPy)

ANKHOR FlowSheet

SymPy

Technical Computing
22 22%
Technical Computing
78% 78
Business & Commerce
100 100%
Business & Commerce
0% 0
Numerical Computation
0 0%
Numerical Computation
100% 100
Statistics
100 100%
Statistics
0% 0

User comments

Share your experience with using ANKHOR FlowSheet and SymPy. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare ANKHOR FlowSheet and SymPy

ANKHOR FlowSheet Reviews

We have no reviews of ANKHOR FlowSheet yet.
Be the first one to post

SymPy Reviews

4 open source alternatives to MATLAB
SymPy, another BSD-licensed Python library for symbolic mathematics. It can be installed on any computer running Python. It aims to become a full computer algebra system; has an active development community with regular releases; and is used in many other projects (including SageMath, above).
Source: opensource.com
3 Open Source Alternatives to MATLAB
SymPy, another BSD-licensed Python library for symbolic mathematics. It can be installed on any computer running Python 2.7 or above. It aims to become a full computer algebra system; has an active development community with regular releases; and is used in many other projects (including SageMath, above).
Source: www.openhealthnews.com

What are some alternatives?

When comparing ANKHOR FlowSheet and SymPy, you can also consider the following products

jamovi - jamovi is a free and open statistical platform which is intuitive to use, and can provide the...

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

IBM SPSS Statistics - IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.

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

Orange - Machine learning for novice and experts.

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

Loading...