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Jiffy.ai Automate vs Python RPA comparison

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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
8.1
Automate boosts efficiency and reduces costs with easy deployment, allowing quick returns without extra IT staff.
Sentiment score
7.1
Jiffy.ai Automate boosts efficiency by automating tasks, reducing errors, and saving staff efforts, driving significant ROI.
Sentiment score
8.2
Python RPA boosts efficiency, reduces errors, saves costs, and enhances productivity, enabling employees to focus on higher-value tasks.
Fortra's Automate has effectively replaced the workload of an entire employee, saving us significant time and money.
It has reduced our expenditures in terms of purchasing more products and employing more technicians.
I've seen a good return on investment with Automate, as it streamlines processes and improves my productivity.
 

Customer Service

Sentiment score
7.4
Automate's customer service is praised for prompt, effective support, despite occasional language barriers and a challenging knowledge base.
Sentiment score
6.9
Jiffy.ai Automate excels in responsive customer service and support, despite limited staff, ensuring satisfaction with complex integrations.
Sentiment score
7.3
Python RPA is praised for responsive, knowledgeable customer support with high ratings for professionalism and effective guidance through issues.
They don't always understand the processes I'm trying to implement.
I would rate the technical support as a nine out of ten because it is quite fast and courteous.
They are very responsive and have been able to resolve any issues I have encountered.
 

Scalability Issues

Sentiment score
7.2
Automate is scalable, enabling easy expansion with flexibility and load balancing, though some concerns about complexity and cost exist.
Sentiment score
7.5
Jiffy.ai Automate is scalable and effective across departments, managing large transactions and adapting processes with minimal changes.
Sentiment score
6.9
Python RPA efficiently scales projects, handles tasks, integrates smoothly, and meets diverse needs, but optimal scaling may require expertise.
The scalability of Automate also scores a ten out of ten.
It is easy to increase one bot or one studio without needing to buy another orchestrator, which can be quite expensive.
Automate is stable for my needs and is highly scalable, allowing the same workflow to serve numerous tasks effectively.
 

Stability Issues

Sentiment score
6.9
Automate v.11 is mostly stable and reliable, but resource-intensive, with occasional errors and crashes depending on task type.
Sentiment score
6.4
Jiffy.ai Automate is stable across systems, cost-effective, but faces network issues; users rate stability seven out of ten.
Sentiment score
8.3
Python RPA is praised for its stability, reliability, and robustness in handling complex workflows with minimal glitches or errors.
The stability of the solution is a ten out of ten.
It has very robust features, and it is not prone to instability.
The stability of Fortra's Automate is excellent.
 

Room For Improvement

Intelligent automation faces issues with usability, integration, and support, needing improvements in user interface, customization, and community engagement.
Jiffy.ai Automate struggles with complexity, limited customization, and inadequate support, posing challenges for non-IT users.
Python RPA users face stability issues, complex setup, insufficient documentation, and slow performance with large datasets.
This is a significant concern, especially with critical workloads where visibility into errors is essential.
I would prefer not having to log in to update a ticket; being able to respond via email would be beneficial.
Integration with Amazon S3 is somewhat lacking.
 

Setup Cost

Automate offers flexible and cost-effective pricing, allowing multiple processes per bot, making it competitive against UiPath and Blue Prism.
Jiffy.ai Automate offers cost-effective enterprise licensing with potential support costs, yet its features provide valuable for the price.
Python RPA provides flexible and competitively priced plans, beneficial for both small projects and large enterprises, with excellent support.
Competitors are often more expensive than Automate.
It offered what we wanted at a good, competitive price.
It does a lot but also costs a lot.
 

Valuable Features

Automate offers user-friendly automation with seamless integration, intuitive features, and cost-effective scalability, enhancing productivity and efficiency.
Jiffy.ai Automate features a user-friendly interface, advanced integration, computer vision, and supports no-code to low-code automation.
Python RPA is valued for its ease of use, flexibility, integration, quick deployment, customization, community support, cost-effectiveness, and scalability.
Automate's non-reliance on additional orchestrators makes it quite cost-effective.
In my opinion, the best feature Automate offers is the scheduling.
Automate's compatibility with existing IT infrastructure has impacted our business operations positively by providing smooth integration with other software that we use, such as Gmail, Jira, and Microsoft 365 apps, which gives us a unified platform instead of having to keep switching from one software to another, saving a lot of time and streamlining the whole workflows.
 

Categories and Ranking

Automate
Sponsored
Ranking in Robotic Process Automation (RPA)
5th
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
30
Ranking in other categories
No ranking in other categories
Jiffy.ai Automate
Ranking in Robotic Process Automation (RPA)
34th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
8
Ranking in other categories
No ranking in other categories
Python RPA
Ranking in Robotic Process Automation (RPA)
17th
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 October 2025, in the Robotic Process Automation (RPA) category, the mindshare of Automate is 2.0%, up from 1.1% compared to the previous year. The mindshare of Jiffy.ai Automate is 0.6%, up from 0.3% compared to the previous year. The mindshare of Python RPA is 2.0%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Robotic Process Automation (RPA) Market Share Distribution
ProductMarket Share (%)
Automate2.0%
Python RPA2.0%
Jiffy.ai Automate0.6%
Other95.4%
Robotic Process Automation (RPA)
 

Featured Reviews

Jane Rachma Kiniti - PeerSpot reviewer
Automate has streamlined workflows and increased efficiency with powerful automation
The best features of the solution are the flexible automation features, it is rich with beautiful connectors, and it is easy to use with little to no coding knowledge required to get started, so anybody can use the tool. The intuitive interface of Automate has an intuitive design, which makes it easy to learn and use even without a strong technical background, and it has a drag-and-drop interface, which makes everything so easy and straightforward. The error handling capabilities in complex automation tasks are powerful, as it handles all types of tasks, whether complex or simple. I've never faced any problems even when dealing with complex tasks, so everything is super smooth and highly reliable, even when dealing with big tasks, as it has never slowed down. Automate's compatibility with existing IT infrastructure has impacted our business operations positively by providing smooth integration with other software that we use, such as Gmail, Jira, and Microsoft 365 apps, which gives us a unified platform instead of having to keep switching from one software to another, saving a lot of time and streamlining the whole workflows. The automated analytics have helped improve our business processes since it has increased our efficiency by automating our everyday tasks, freeing up time for us to focus more on strategic activities such as analyzing data and developing new business strategies. It is also cost-saving. By minimizing manual labor, it decreases human errors that can lead to costly mistakes. By automating the tasks, it helps to save costs, and it also improves our accuracy by reducing these errors to ensure that tasks are done almost perfectly.
HA
You don't have to code; it is just drag and drop
They are still new in the market. Or, at least, they are still a small player. They require a lot of improvement in terms of learning material as well as the community developers. If you compare Jiffy.ai to an established solution, like UiPath, you can go to YouTube and find a lot of learning material posted by UiPath, partners, and other people in the community. However, for Jiffy.ai, you won't find that available in the market. Because of this it is very hard for us to find talent in the market. Most of the developers in the market are used to the bigger players. For Jiffy.ai, if you search a resume because you are trying to find someone who has used Jiffy.ai, you won't be able to find it. So, when we onboard a new person, we want them to learn this new system, but it is a bit hard for them to pick up because there are no external learning materials on the Internet. For training, they provide the foundation and advanced training. If you have other issues, they have a support portal, which shows a brief summary of the features. It's not very extensive, like Google Cloud Platform. Sometimes there are things that may not be available in the portal. While other products will also not have available the information in their portal, other people know it. So, you don't have in the community discussions about solutions to a problem that would not be available in the portal.
Arno Krause - PeerSpot reviewer
Helps streamline operations, the error handling capability is fairly good, and integrations are easy
Keyword-driven automation has been beneficial in streamlining operations. The error handling capability of Python RPA is fairly good in managing exceptions. I rate it a seven out of ten. We've integrated it with Jenkins and with our release pipeline. It was fairly easy. We had no issues with integration that we couldn’t deal with. The dashboard is simple. We export it to Excel or Power BI and make it look pretty. For our initial use, the dashboard is okay.
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Computer Software Company
9%
Manufacturing Company
9%
Performing Arts
6%
No data available
Financial Services Firm
17%
Manufacturing Company
12%
Government
6%
Computer Software Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business18
Midsize Enterprise8
Large Enterprise4
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise1
Large Enterprise5
No data available
 

Questions from the Community

What do you like most about HelpSystems AutoMate?
We use it for specific cases, mainly secure file transfers, which are vital for us. And it works for us.
What is your primary use case for HelpSystems AutoMate?
My main use case for Automate is to deliver enterprise-scale script execution jobs, which means we are using Automate...
What is your experience regarding pricing and costs for Fortra Automate?
Until now, I have not specified any other tech products except Microsoft Power Automate, N8N, and Make.com that I've ...
Ask a question
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What do you like most about Python RPA?
Keyword-driven automation has been beneficial in streamlining operations.
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 ...
 

Also Known As

HelpSystems Automate, Automate
No data available
No data available
 

Overview

 

Sample Customers

Aldergrove Financial Group, Preferred Health Professionals, Mindbeam Technologies, First Credit Union in British Columbia, Vestcom International, Prime Liberty Benefits, University of Tampa, CNLBancshares, World Precision Instruments, BJ's Restaurants, Globe Pequot Press, Accudata Technologies, Norton Healthcare, Pacific Toxicology Laboratories
Southwest Airlines
Home Credit, Silimed, Hilton, Al Hilal Bank, Baskin and Robbins
Find out what your peers are saying about Jiffy.ai Automate vs. Python RPA and other solutions. Updated: September 2025.
869,566 professionals have used our research since 2012.