Software Alternatives, Accelerators & Startups

SymPy VS Dataiku

Compare SymPy VS Dataiku and see what are their differences

SymPy logo SymPy

SymPy is a Python library for symbolic computation.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • SymPy Landing page
    Landing page //
    2021-12-24
  • Dataiku Landing page
    Landing page //
    2023-08-17

Dataiku

Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clément Stenac
Employees
500 - 999

SymPy videos

Python Sympy Integrals

Dataiku videos

AutoML with Dataiku: And End-to-End Demo

More videos:

  • Review - Dataiku: For Everyone in the Data-Powered Organization
  • Tutorial - Dataiku DSS Tutorial 101: Your very first steps

Category Popularity

0-100% (relative to SymPy and Dataiku)
Technical Computing
100 100%
0% 0
Data Science And Machine Learning
Numerical Computation
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

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

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).

Dataiku Reviews

15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The company’s flagship product features a team-based user interface for both data analysts and data scientists. Dataiku’s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....

What are some alternatives?

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

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

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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

NumPy - NumPy is the fundamental package for scientific computing with Python