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Nintex RPA vs Python RPA comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 4, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
7.3
Users report cost savings, reduced errors, and improved efficiency with Nintex RPA, achieving savings up to $300,000.
Sentiment score
8.2
Python RPA boosts efficiency, reduces errors, saves costs, and enhances productivity, enabling employees to focus on higher-value tasks.
 

Customer Service

Sentiment score
7.4
Nintex RPA users praise responsive technical support and proactive service, though some experience delays and desire direct phone support.
Sentiment score
7.3
Python RPA is praised for responsive, knowledgeable customer support with high ratings for professionalism and effective guidance through issues.
 

Scalability Issues

Sentiment score
6.9
Nintex RPA is scalable and flexible, enabling easy expansion and deployment, though data analysis at scale presents challenges.
Sentiment score
6.9
Python RPA efficiently scales projects, handles tasks, integrates smoothly, and meets diverse needs, but optimal scaling may require expertise.
 

Stability Issues

Sentiment score
7.1
Users rate Nintex RPA stable at 8/10, noting minor issues from updates, system changes, or configuration errors.
Sentiment score
8.3
Python RPA is praised for its stability, reliability, and robustness in handling complex workflows with minimal glitches or errors.
 

Room For Improvement

Nintex RPA requires better object recognition, OCR, integration, AI updates, and improvements in training, compatibility, and debugging tools.
Python RPA users face stability issues, complex setup, insufficient documentation, and slow performance with large datasets.
 

Setup Cost

Nintex RPA offers moderate pricing, ranging from $5,000 to $100,000, with separate charges for infrastructure and optional features.
Python RPA provides flexible and competitively priced plans, beneficial for both small projects and large enterprises, with excellent support.
 

Valuable Features

Nintex RPA offers intuitive workflows, cross-platform integration, task mining, scalability, and competitive pricing, enhancing document handling efficiency.
Python RPA is valued for its ease of use, flexibility, integration, quick deployment, customization, community support, cost-effectiveness, and scalability.
 

Categories and Ranking

Nintex RPA
Ranking in Robotic Process Automation (RPA)
20th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
30
Ranking in other categories
No ranking in other categories
Python RPA
Ranking in Robotic Process Automation (RPA)
15th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2026, in the Robotic Process Automation (RPA) category, the mindshare of Nintex RPA is 2.3%, up from 1.9% compared to the previous year. The mindshare of Python RPA is 1.0%, down from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Robotic Process Automation (RPA) Mindshare Distribution
ProductMindshare (%)
Python RPA1.0%
Nintex RPA2.3%
Other96.7%
Robotic Process Automation (RPA)
 

Featured Reviews

Damilola Adeleye - PeerSpot reviewer
Business Automation Developer at Polaris Bank Nigeria Plc
Easy to use and clear documentation with notes explaining each step available
Areas, where I see some room for improvement would be the use of reading details from an Excel file. Most of the time, it's difficult when I say looping through a huge data set, and it's very difficult for the bot to interact with those data sets unless it starts offering the Excel file. As of today, from the reports I've worked with, I noticed that most reports are empty columns and two rows. So if Kryon can associate with that and extract those deposits into a variable, and the tools can easily fit out to column dash and two rows and columns, it will be nice. But as of today, the bot doesn't have the functionality to detect variables. We have to do it on the Excel file itself. I also noticed that when it comes to the use of bots, not everyone has the same knowledge, and it can be difficult to do certain research unless you have advanced knowledge of what you need to do. I also noticed that in the community, most people don't use it, and it's quite difficult when you need certain support.
Natalia  Raffo - PeerSpot reviewer
Co - Founder & Chief Data Officer -CDO at Data360
Robust and good for data processing while being helpful for building data science use cases
The processing of data is good. We can use many different types of data, including images and videos. We can use different libraries to do better preprocessing of different types of data. We can do different models in recommendation systems for things like videos and sales strategy. We can do language processing or sentiment analysis to predict things for our clients. We can design and develop machine learning applications that can predict events. We can use these on libraries to solve complex problems when we have a lot of data. It's possible to use the solution with other tools. It's very agile. In the financial advisory and portfolio management space, several budget management applications are now available in the market. These have machine learning based functionality. In Python, I use different machine learning algorithms to enable customers to keep track of their expenses and provide recommendations on better savings. These are machine learning algorithms that customize financial portfolios by looking at income rate tolerance and preferences, et cetera.
report
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Real Estate/Law Firm
7%
Comms Service Provider
7%
Manufacturing Company
7%
Financial Services Firm
14%
Manufacturing Company
12%
Construction Company
8%
Marketing Services Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise7
Large Enterprise18
No data available
 

Questions from the Community

Best RPA tools for IBM iSeries
We have found that Foxtrot (Now NintexRPA) is a very solid solution for IBM iSeries integration using the IBM ACS 5250 emulator, in addition Datamatics TruBot is an alternative solution.
What is your experience regarding pricing and costs for Nintex RPA?
Although Nintex RPA is expensive, it is somewhat affordable considering its features. I would rate the cost aspect as an eight out of ten.
What needs improvement with Nintex RPA?
We need better training and community support in Indonesia. It would be helpful to have more representatives who can provide training and share knowledge, as our team lacks the deep skills required...
What needs improvement with Python RPA?
I've worked with file detection for secure transactions. I use a machine learning model to predict events related to security transactions by predicting possible routes in advance. They need to imp...
What is your primary use case for Python RPA?
In our team, we construct different statistical models to resolve things for clients. We do modelling and segmentation to determine a customer's lifetime value. We do deep learning and protective a...
What advice do you have for others considering Python RPA?
We're just a customer. It's a good tool. It's easy. I can use it in many different ways and for many different use cases. I'd recommend the product for data science use cases. It is a robust tool a...
 

Also Known As

Kryon RPA
No data available
 

Overview

 

Sample Customers

Amazon, Audi, Chevron, Toyota, Uber, Walmart
Home Credit, Silimed, Hilton, Al Hilal Bank, Baskin and Robbins
Find out what your peers are saying about Nintex RPA vs. Python RPA and other solutions. Updated: April 2026.
893,221 professionals have used our research since 2012.