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ELMA 365 vs Python RPA comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

ELMA 365
Ranking in Robotic Process Automation (RPA)
65th
Average Rating
0.0
Reviews Sentiment
6.9
Number of Reviews
1
Ranking in other categories
CRM (77th), Business Process Management (BPM) (53rd)
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 ELMA 365 is 0.4%, up from 0.2% 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%
ELMA 3650.4%
Other98.6%
Robotic Process Automation (RPA)
 

Featured Reviews

PT
Senior Customer Success Manager at Precio Fishbone Vietnam
A great ERP for medium and even small businesses
If one has experience in the ERP market, big brands like Microsoft require a lot of money over other platforms like Odoo. We can implement an on-premise model for some enterprise customers because it gives privacy and security. For other customers, we provide the cloud version. Currently, we recommend customers implement the ERP platform on the cloud environment because of the flexibility and scaling. I recommend that customers invest in a solution with the possibility of scaling in the future while providing many functions and features out of the box. In many ERPs we provide, although we would recommend ELMA as a default option for medium and even enterprise customers, they need bigger brands. ELMA 365 should be the second or third option for customers right now. I rate ELMA 365 a ten out of ten.
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.

Quotes from Members

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

Pros

"A lot of customers, when we introduce this kind of product into their organization, it provides a lot of analytics."
"Keyword-driven automation has been beneficial in streamlining operations."
"It's possible to use the solution with other tools. It's very agile."
"Instead of writing multiple lines of code, we can do it in a single statement."
 

Cons

"Customers want improved productivity."
"It can be expensive to deploy a lot of models in the cloud, especially if there are large amounts of data."
"When we call an API and there is an error, it doesn't tell you what the error is."
"Support could be improved."
 

Pricing and Cost Advice

"I rate the solution's pricing a five out of ten."
"I am using an open-source solution."
"The tool is not expensive."
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Top Industries

By visitors reading reviews
Computer Software Company
20%
Construction Company
19%
Financial Services Firm
14%
Comms Service Provider
11%
Financial Services Firm
14%
Manufacturing Company
12%
Construction Company
8%
Marketing Services Firm
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

Ask a question
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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...
 

Comparisons

 

Also Known As

ELMA BPM
No data available
 

Overview

 

Sample Customers

Air Astana, GS Nanotech, Kapital Bank, Mriya Resort & SPA, Obninskorgsintez, VestaBank, pwc, Zarubezhneft, lockobank, Rosatom
Home Credit, Silimed, Hilton, Al Hilal Bank, Baskin and Robbins
Find out what your peers are saying about UiPath, Automation Anywhere, Microsoft and others in Robotic Process Automation (RPA). Updated: May 2026.
896,099 professionals have used our research since 2012.