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Nintex VS Pandas

Compare Nintex VS Pandas and see what are their differences

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Nintex logo Nintex

Cloud-based digital workflow management automation platform

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
  • Nintex Landing page
    Landing page //
    2023-06-21
  • Pandas Landing page
    Landing page //
    2023-05-12

Nintex

Website
nintex.com
Pricing URL
Official Nintex Pricing
$ Details
-
Release Date
2006 January
Startup details
Country
United States
State
Washington
City
Bellevue
Founder(s)
Brett Campbell
Employees
250 - 499
Edit details

Pandas

Website
pandas.pydata.org
Pricing URL
-
$ Details
Release Date
-
Edit details

Nintex features and specs

  • Ease of Use
    Nintex provides a user-friendly interface with drag-and-drop functionality, making it easy for non-technical users to design and automate workflows.
  • Integrations
    Nintex integrates seamlessly with popular platforms like SharePoint, Office 365, and other enterprise applications, allowing for efficient data flow across systems.
  • Comprehensive Features
    Offers a wide range of features including workflow automation, document generation, process mapping, and robotic process automation, catering to various business needs.
  • Scalability
    Nintex is designed to scale with your business, supporting small teams to large enterprises without compromising performance.
  • Strong Community Support
    Has an active user community and extensive documentation, providing users with plenty of resources for troubleshooting and optimization.

Possible disadvantages of Nintex

  • Cost
    Nintex can be expensive, especially for small and medium-sized businesses. The costs can add up with the need for multiple licenses and additional features.
  • Complexity in Advanced Workflows
    While the drag-and-drop interface is easy for simple tasks, more complex workflows can become cumbersome and require advanced knowledge to implement effectively.
  • Performance Issues
    Users have reported performance issues when dealing with large volumes of data or when running multiple complex workflows simultaneously.
  • Customization Limitations
    There are limitations to customization and flexibility, particularly when compared to more code-centric automation tools.
  • Initial Learning Curve
    Despite its user-friendly interface, there is an initial learning curve associated with understanding all its features and best practices for implementation.

Pandas features and specs

  • Data Wrangling
    Pandas offers robust tools for manipulating, cleaning, and transforming data, making it easier to prepare data for analysis.
  • Flexible Data Structures
    Pandas provides two primary data structures: Series and DataFrame, which are flexible and offer powerful capabilities for handling various types of datasets.
  • Integration with Other Libraries
    Pandas integrates seamlessly with other Python libraries such as NumPy, Matplotlib, and SciPy, facilitating comprehensive data analysis workflows.
  • Performance with Data Size
    For data sizes that fit into memory, Pandas performs excellently with operations and computations being highly optimized.
  • Rich Feature Set
    Pandas provides a wide array of functionalities, including but not limited to group-by operations, merging and joining data sets, time-series functionality, and input/output tools.
  • Community and Documentation
    Pandas has a strong community and extensive documentation, offering a wealth of tutorials, examples, and support for new and experienced users alike.

Possible disadvantages of Pandas

  • Memory Consumption
    Pandas can become memory inefficient with very large datasets because it relies heavily on in-memory operations.
  • Single-threaded
    Many Pandas operations are single-threaded, which can lead to performance bottlenecks when handling very large datasets.
  • Steep Learning Curve
    For users who are new to data analysis or Pandas, there can be a steep learning curve due to its extensive capabilities and complex syntax at times.
  • Less Suitable for Real-time Analytics
    Pandas is not designed for real-time analytics and is better suited for batch processing due to its in-memory operations and single-threaded nature.
  • Error Handling
    Error messages in Pandas can sometimes be cryptic and hard to interpret, making debugging a challenge for users.

Nintex videos

+ Add

Nintex Forms Overview

More videos:

  • Review - Streamline Document Review & Approval Processes with Nintex for Office 365
  • Review - Document Intake and Review w/ Box, Nintex and Workshare
  • Review - Contract creation, review, approval and signature with Box, Salesforce, Nintex and Docusign

Pandas videos

+ Add

Ozzy Man Reviews: Pandas

More videos:

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

Category Popularity

0-100% (relative to Nintex and Pandas)

Nintex

Pandas

Project Management
100 100%
Project Management
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Workflow Automation
100 100%
Workflow Automation
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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

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

Nintex Reviews

Top 5 Microsoft Power Automate alternatives for 2024
“Nintex generates papers, forms, and maps, among other elements that allow for seamless communication and workflow between departments and teams by synchronizing and conducting activities in cooperation on a single platform,” Tilley explains.
Source: www.jotform.com
7 Best Business Process Management Tools (2023)
Any business process that requires approvals, particularly if those approvals change, is well suited to manage using the Nintex Platform. Nintex also includes a robotic process automation tool that enables the intelligent automation of manual operations utilizing any software that is available from a user’s workstation.
Source: theecmconsultant.com
11 Business Process Management (BPM) Software for SMBs
Nintex will help eliminate the manual and repetitive work with automated workflows and capture information faster in the proper manner. It can monitor the processes to identify and quickly address the issues and point the process improvements by using data visualization.
Source: geekflare.com
5 PowerApps Alternatives
Nintex is a solution from the Business Process Management paradigm. It allows users to achieve much of what they would do through PowerApps. and also go much beyond. Beyond building custom application interfaces, applying complex business logic, Nintex even allows users to write their own Boolean logic.
Source: www.hyperoffice.com
Top 15 Workflow Management Software Solutions
What makes Nintex a top workflow management software solution? To start, it enables you to easily streamline processes, integrate content, and empower employees wherever they are located. The app sports a people-driven design and offers people-friendly participation to improve processes – both simple everyday ones to complex elaborate procedures. The best part is you can...
Source: financesonline.com

Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
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

Social recommendations and mentions

Based on our record, Pandas seems to be more popular. It has been mentiond 219 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.

Nintex mentions (0)

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

Pandas mentions (219)

  • Top Programming Languages for AI Development in 2025
    Libraries for data science and deep learning that are always changing. - Source: dev.to / 21 days ago
  • How to import sample data into a Python notebook on watsonx.ai and other questions…
    # Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / about 1 month ago
  • How I Hacked Uber’s Hidden API to Download 4379 Rides
    As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / about 1 month ago
  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 3 months ago
  • Sample Super Store Analysis Using Python & Pandas
    This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 9 months ago
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What are some alternatives?

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

Kissflow - Kissflow is a workflow tool & business process workflow management software to automate your workflow process. Rated #1 cloud workflow software in Google Apps Marketplace.

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

Pipefy - Pipefy is a process management software that empowers anyone to create and automate efficient workflows on their own without code.

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

Process Street - Create beautiful rich process documents in a simple to follow checklist format. Fast, free and incredibly simple to use.

OpenCV - OpenCV is the world's biggest computer vision library

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