INTELLIBOT vs Python RPA comparison

ServiceNow and Python RPA are both solutions in the Robotic Process Automation (RPA) category. ServiceNow is ranked #28 with an average rating of 7.0, while Python RPA is ranked #18 with an average rating of 8.3. ServiceNow holds a 0.4% mindshare in RPA, compared to Python RPA’s 2.0% mindshare. Additionally, 80% of ServiceNow users are willing to recommend the solution, compared to 100% of Python RPA users who would recommend it.

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 4, 2024

INTELLIBOT and Python RPA focus on enhancing robotic process automation. INTELLIBOT holds an advantage with its wide integration options and advanced analytics, while Python RPA's flexibility and customization offer strength for specific automation tasks.

Features: INTELLIBOT provides extensive integration capabilities for seamless operation across platforms, offers advanced analytics for process optimization, and handles extensive data management. Python RPA handles various scripting environments, supports strong customization, and is proficient in automating complex tasks.

Ease of Deployment and Customer Service: Python RPA has a straightforward deployment process with comprehensive support resources. INTELLIBOT features a thorough deployment framework and personalized customer service, assisting intricate installations with tailored support.

Pricing and ROI: INTELLIBOT involves a higher initial setup cost due to its integration features, promising favorable ROI through efficiency gains. Python RPA offers a cost-effective setup with potential high ROI thanks to its adaptability in automation tasks.

To learn more, read our detailed INTELLIBOT vs. Python RPA Report (Updated: April 2025).

Buyer's Guide

INTELLIBOT vs. Python RPA

April 2025

Download the complete report

Helped 850,028 peers since 2012

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

Automate

Mindshare comparison

As of May 2025, in the Robotic Process Automation (RPA) category, the mindshare of Automate is 1.6%, up from 1.0% compared to the previous year. The mindshare of INTELLIBOT is 0.4%, up from 0.2% compared to the previous year. The mindshare of Python RPA is 2.0%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Robotic Process Automation (RPA)

Featured Reviews

Anabel Marco

Account Director at a tech services company with 11-50 employees

Automates processes efficiently with cost-effective scaling and robust customer support

Web scraping is quite good since it offers a lot of possibilities. Another important feature for me is its compatibility with MBI, the Power that is ISEQUADO Centers. I appreciate the ability to scale and increase the number of bots or studios without additional expense. Automate's non-reliance on additional orchestrators makes it quite cost-effective.

Read full review

Renjith Raghunathan

RPA Team Lead Developer at Standard Chartered Bank

A solution that requires minimal efforts to run multiple activities at the same time

It would be helpful to add more documentation. Currently, there are not many documents available on Google that explain each activity and how to use it or how to use the parameters and pass values. This is an area that could be improved. If I were to add something that would make my life easier in a new release of INTELLIBOT, then it would be making improvements to the way it is interacting with Java. The only challenge with using INTELLIBOT is the way it works with OCR, which can make creating OCR icons very challenging. In addition, there may be challenges in using the Citrix environment.

Read full review

Natalia Raffo

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.

Read full review

Quotes from Members

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

Pros

"This product is quite easy to install, learn, and use, with our new employees being able to start using it in projects for clients after only two weeks of internal training."

"A great feature that you seldom see in these kind of systems is the ability to use a database as trigger to launch a task. This is something I asked for a few years ago and that was added."

"I find the ease of use from a programming perspective very valuable."

"The solution is continuously adding more integrations to help with workflows and bot and task creation."

"Overall, the whole product is really nice and provides significant benefits."

"The most valuable features for my client are timing and scheduling."

"We are still in the process of rolling it to production and tweaking it (our AD groups are a mess), but the improvements are priceless. Having users ID's created the same way every time without human error is the best part. We don't need to worry about why groups were not added, user rights not set to folders or missing a private folder being created, typos or just even knowing when things are done and logged."

"Compared to other vendors, it's the scheduling tool because a lot of vendors want to charge you extra for their enterprise-level license to have a scheduling tool built in to give you the ability to set up regular schedules to run and do certain data checks."

More Automate pros

"This solution is easy to use and requires little coding knowledge."

"The return on investment is pretty good because the license cost is cheaper than other RPA tools in the market."

"I have found the most valuable feature to be the straightforward visual editor, it has close to no code required. It allowed us to deploy the email monitoring in this couple of weeks."

"It is a stable product. We have been using it for 15 months now, and there have been no issues."

"For machine learning, there is an in-built document and text classification feature in INTELLIBOT. That is unlike other RPA tools where one needs to procure a separate license. Besides this, the application is easy to use. One valuable feature is the drag-and-drop feature for AI and email intelligence. It is easier than using UiPath's IQ bot."

"The replay of the automation is an awesome feature."

"There's a helpful community available through the portal."

"It's possible to use the solution with other tools. It's very agile."

"Keyword-driven automation has been beneficial in streamlining operations."

"Instead of writing multiple lines of code, we can do it in a single statement."

Cons

"I find that most important features are strong, however, there is a lack of good development for artificial intelligence, such as machine learning."

"I would prefer not having to log in to update a ticket; being able to respond via email would be beneficial."

"The documentation for errors needs improvement as many of the error messages we receive are very vague."

"There is room for improvement regarding cloud functionality; there are a few missing features, and the logging could be better, especially air logging. We can go into logging events and create our own task, but it would be nice if this were more detailed."

"The solution has a very weak knowledge base."

"The workflow for variables could be better. The input and output of task-level variables could be made a little clearer in terms of passing those around from one task to another upon success, etc. Things like that could be a little easier potentially."

"I would like the updates to be easier to deploy. Integration with Amazon S3 is somewhat lacking."

"The vendor is currently working on a solution that allows us to automatically create a process that is based on a document that we receive via email."

More Automate cons

"I would like to see the cognitive marketing platform improved."

"The trigger actions need to be more robust."

"The solution is heavily dependant on scripts, such as JavaScript or any other external script that needs to be a part of the system. If they want to grow, the scripting dependency should go away. They should have built-in libraries to pull in work from."

"The first pain point of INTELLIBOT was with the development. Whenever the company developed any command, they published it directly onto their SQL site, and our current automation got auto-updated. The second pain point was with the action set. It could be stronger. Moreover, if I am doing UiPath automation, I have to do it with the Internal Report for now."

"Currently, there are not many documents available on Google that explain each activity and how to use it or how to use the parameters and pass values."

"Has limited functionality and uses extensive resources."

"A couple of times, we noticed that some bugs caused the bot to go in the wrong flow."

"When we call an API and there is an error, it doesn't tell you what the error is."

"Support could be improved."

"It can be expensive to deploy a lot of models in the cloud, especially if there are large amounts of data."

Pricing and Cost Advice

"While solutions like UiPath and Blue Prism cost around $11,000-$12,000 for each license, this product costs around $7,000 and you can keep it forever."

"From a distributor's perspective, one of the biggest selling points of Automate is its price point."

"I believe the price falls within a reasonable range, which significantly influenced our decision regarding the product. This aspect is crucial for any technological solution, especially in our country where enterprises might be hesitant to invest heavily in something untested or uncertain about its practicality and potential returns."

"The cost is a bit high for a small business like ours, but we manage with Fortra's Automate."

"Compared to other products, the pricing model for this solution is much more convenient, flexible, and adaptable to the Portuguese reality."

"It has gone up in price. The price of Fortra's Automate has increased since we first started using it. It does a lot but also costs a lot. It was a lot more affordable before Fortra owned the software."

"I'm only involved in running the product and maintaining the systems, so I can't speak to the cost."

"The pricing is quite reasonable. We can run the process with one bot. The limitation is at the server level because they have some resources, and sometimes that is enough. It isn't too expensive, so you can get a good return off of one, and you can also have a pack of five bots that is quite competitive."

More Automate pricing and cost advice

"At the time, one license was $5,000 USD. If we needed to negotiate for more licenses, we could negotiate a bit on the price."

"It is quite cheap. In the year 2019, it was $1000 for a year."

"The solution requires a license and we purchased one annually. We were satisfied with the price."

"INTELLIBOT with the DPA costs approximately $1,500 USD."

"The tool is not expensive."

"I am using an open-source solution."

See which vendors are best for you

Use our free recommendation engine to learn which Robotic Process Automation (RPA) solutions are best for your needs.

See recommendations

850,028 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

12%

Manufacturing Company

Healthcare Company

Computer Software Company

31%

Financial Services Firm

16%

Manufacturing Company

Retailer

Financial Services Firm

16%

Manufacturing Company

13%

Government

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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.

See all answers

What is your primary use case for HelpSystems AutoMate?

I am a consultant and I am making a lot of processes in human resources, payroll, certifications, trainings, web scra...

See all answers

What is your experience regarding pricing and costs for Fortra Automate?

The pricing is quite good compared to its competitors. Competitors are often more expensive than Automate. I would ra...

See all answers

Which lesser known RPA vendor has the best chance at unseating today's market leaders?

Intellibot.io would be my suggestion. From DPA to RPA to cognitive model long to Chatbots to IOT they have come a lon...

See all answers

What do you like most about INTELLIBOT?

The return on investment is pretty good because the license cost is cheaper than other RPA tools in the market.

See all answers

What needs improvement with INTELLIBOT?

Exception handling activities within INTELLIBOT need to improve. While working with the platform, there were instance...

See all answers

What do you like most about Python RPA?

Keyword-driven automation has been beneficial in streamlining operations.

See all answers

What is your experience regarding pricing and costs for Python RPA?

The tool is not expensive.

See all answers

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 ...

See all answers

Comparisons

Microsoft Power Automate vs Automate

Compared 38% of the time

UiPath Platform vs Automate

Compared 35% of the time

Automation Anywhere vs Automate

Compared 8% of the time

Blue Prism vs Automate

Compared 7% of the time

VisualCron vs Automate

Compared 7% of the time

More Automate Competitors

UiPath Platform vs INTELLIBOT

Compared 56% of the time

Microsoft Power Automate vs INTELLIBOT

Compared 44% of the time

More INTELLIBOT Competitors

Automation Anywhere vs Python RPA

Compared 39% of the time

Microsoft Power Automate vs Python RPA

Compared 39% of the time

UiPath Platform vs Python RPA

Compared 12% of the time

Blue Prism vs Python RPA

Compared 11% of the time

More Python RPA Competitors

Product Reports

Buyer's Guide

Automate

April 2025

Download Automate product report

Buyer's Guide

INTELLIBOT

April 2025

Download INTELLIBOT product report

Buyer's Guide

Robotic Process Automation (RPA)

April 2025

Download Python RPA product report

Also Known As

HelpSystems Automate, Automate

No data available

Overview

Automate offers a user-friendly solution with a drag-and-drop interface for efficient task automation and integration with major platforms like SAP and Azure, making it ideal for quick deployment with minimal coding and training.

Automate provides powerful features for businesses seeking efficient automation, offering compatibility with databases, email integration, and cloud platforms. Its simple interface supports both beginners and experienced users, simplifying tasks like invoice processing, HR automation, and data transformation. Cost-effective pricing and flexible licensing enhance its appeal while integration capabilities and scheduling tools ensure smooth workflow automation.

What are Automate's Key Features?

Drag-and-Drop Interface: Simplifies automation with intuitive design.
Integration Capabilities: Connects with platforms like SAP and Azure for seamless data flow.
Database and FTP Triggers: Enhances automation potential through direct data interaction.
Efficient Scheduling: Automates tasks with precise timing and control.
Web Scraping: Automates data extraction for quick analysis and reporting.

What Benefits and ROI Should Users Expect?

Rapid Deployment: Minimizes coding efforts for quick implementation.
Cost-Effectiveness: Offers flexible pricing models to suit budget constraints.
Operational Efficiency: Reduces manual workloads and enhances productivity.
Comprehensive Integration: Facilitates improved data management across systems.
Scalability: Adapts to growing business needs with ease.

In industries such as healthcare, banking, and logistics, Automate is used for tasks like invoice payment automation, data transformation, and task automation. This leads to streamlined processes and reduced manual workload, illustrating its value in enhancing operational efficiency through diversified workflows.

Fortra

Intellibot is a powerful RPA Platform that is designed to simplify the lifecycle of RPA deployments at every step of the process. Speed, reliability, ease of use and extensibility are at the heart of the platform architecture. Intellibot incorporates many next generation features that enable it to deliver on even the most complex RPA projects.

ServiceNow

Users employ Python RPA for automating repetitive tasks and streamlining workflows, reducing manual errors, and enhancing efficiency in processing data, web scraping, and application integration.

Python RPA is valued for its ability to handle complex automation processes, its flexibility, and its compatibility with different systems. It is particularly beneficial for large-scale data handling and business process automation. Users find the extensive library and strong community support helpful for swift issue resolution and knowledge sharing. Its intuitive design and clear documentation simplify the learning curve and implementation. However, documentation can lack depth, making troubleshooting challenging. The setup process can be cumbersome, requiring more intuitive guidance. Execution speed can be slow, causing inefficiencies in workflows, and there is a need for better support and resources for developers. Some users report difficulties with integration into existing systems, suggesting enhanced compatibility and flexibility are needed.

What are the key features?

Flexibility: Capable of handling a wide range of automation tasks.
Ease of Integration: Seamlessly integrates with different systems.
High Customization: Allows for tailored automation solutions.
Extensive Library: Provides comprehensive tools and resources.
Community Support: Strong user community for knowledge sharing.
Scalability: Efficient for various business process scales.
Intuitive Design: Simplifies learning and implementation.

What are the benefits and ROI?

Increased Efficiency: Reduces time spent on repetitive tasks.
Error Reduction: Minimizes manual errors.
Cost Savings: Decreases operational costs through automation.
Improved Accuracy: Enhances precision in data processing.
Scalable Solutions: Adapts to growing business needs.
Faster Processes: Streamlines workflows for quicker results.

In industries where large-scale data processing is essential, such as finance or healthcare, Python RPA helps automate data entry, validation, and reporting, significantly reducing manual labor and improving accuracy. In retail, it integrates with e-commerce platforms to automate order processing and inventory management, ensuring smooth operations. Other sectors, like logistics, benefit from Python RPA by streamlining dispatch and tracking processes, enhancing operational efficiency and customer satisfaction.

Python RPA

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

Information Not Available

Home Credit, Silimed, Hilton, Al Hilal Bank, Baskin and Robbins

Buyer's Guide

INTELLIBOT vs. Python RPA

April 2025

Free Report: INTELLIBOT vs. Python RPA

Find out what your peers are saying about INTELLIBOT vs. Python RPA and other solutions. Updated: April 2025.

DOWNLOAD NOW

850,028 professionals have used our research since 2012.

See our INTELLIBOT vs. Python RPA report.

See our list of best Robotic Process Automation (RPA) vendors.

We monitor all Robotic Process Automation (RPA) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.