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Pandas VS Dataiku

Compare Pandas VS Dataiku and see what are their differences


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

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
Pandas Landing Page
Pandas Landing Page
Dataiku Landing Page
Dataiku Landing Page

Pandas details

Categories
Data Science And Machine Learning Data Dashboard Data Science Tools
Website pandas.pydata.org  

Dataiku details

Categories
Data Science And Machine Learning Data Dashboard Data Science Tools
Website dataiku.com  

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

  • - Ozzy Man Reviews: PANDAS Part 2
  • - Trash Pandas Review with Sam Healey

Dataiku videos

AutoML with Dataiku: And End-to-End Demo

More videos:

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

Category Popularity

0-100% (relative to Pandas and Dataiku)
52
52%
48%
48
52
52%
48%
48
66
66%
34%
34

Reviews

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

Pandas Reviews

Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

Dataiku Reviews

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....

Social recommendations and mentions

Based on our record, Pandas seems to be a lot more popular than Dataiku. While we know about 50 links to Pandas, we've tracked only 2 mentions of Dataiku. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.

Pandas mentions (50)

  • Design Patterns That Make Sense in Python: Simple Factory
    This pattern is helpful when you need to perform an extra setup before calling a constructor. In the next section we’ll see several examples on how they are used in the Python standard library and also in third-party packages such as pandas. - Source: dev.to / 1 day ago
  • Data cleaning null values -- SQL or Code?
    🐍 Note: There are many Python libraries that help with data cleaning and analytics. Two popular choices are pandas and matplotlib. However, this is a super straightforward solution using plain-vanilla Python. - Source: dev.to / 3 days ago
  • Help with Cleaning Large Environmental Data Set in Jupiter Notebooks (Python3)
    Than you can join them and apply filters in pandas. - Source: Reddit / 4 days ago
  • How to get data from a row in a CSV file?
    Python's standard library has a csv module. However, you can't just access a specific row like this. You would need an iterative approach (i.e. Using a loop). Alternatively, there is the pandas library, which is very versatile and powerful for working with tables, it's not that easy to learn though. - Source: Reddit / 5 days ago
  • Multisort in Sheets, SQL, Python, and JavaScript
    Practical (or lazy) people like me use pandas to organize all their Python data that need multi-column sort, just like in this Jupyter Notebook example:. - Source: dev.to / 7 days ago

Dataiku mentions (2)

None of the links we've tracked has presentable text. Tracking of Dataiku recommendations started around Mar 2021.

What are some alternatives?

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

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

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

OpenCV - OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer...

Exploratory - Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.

WEKA - WEKA is a set of powerful data mining tools that run on Java.

htm.java - htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.

User reviews

Share your experience with using Pandas and Dataiku. For example, how are they different and which one is better?

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