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- pandas python-vs-UiPath Platform™ for Agentic Automation
Compare UiPath Platform™ for Agentic Automation and pandas python 
At a Glance
Market Segments
Enterprise (48.0% of reviews)
Enterprise (37.5% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
UiPath Platform™ for Agentic Automation
Star Rating
(7,009)4.6 out of 5
Market Segments
Enterprise (48.0% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about UiPath Platform™ for Agentic Automationpandas python
Star Rating
(93)4.6 out of 5
Market Segments
Enterprise (37.5% of reviews)
Entry-Level Pricing
No pricing available
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UiPath Platform™ for Agentic Automation vs pandas python
When assessing the two solutions, reviewers found UiPath Platform™ for Agentic Automation easier to use and do business with overall. However, reviewers preferred the ease of set up with pandas python, along with administration.
- Reviewers felt that UiPath Platform™ for Agentic Automation meets the needs of their business better than pandas python.
- When comparing quality of ongoing product support, reviewers felt that UiPath Platform™ for Agentic Automation is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of UiPath Platform™ for Agentic Automation over pandas python.
Pricing
Entry-Level Pricing
UiPath Platform™ for Agentic Automation
No pricing availablepandas python
No pricing availableFree Trial
UiPath Platform™ for Agentic Automation
Free Trial is available
pandas python
No trial information availableRatings
Meets Requirements
9.1
4,498
9.0
73
Ease of Use
9.1
4,863
8.5
73
Ease of Setup
8.7
1,972
8.8
14
Ease of Admin
8.5
1,535
8.1
13
Quality of Support
8.8
4,298
8.2
66
Has the product been a good partner in doing business?
8.8
1,483
7.5
12
Product Direction (% positive)
9.5
4,422
8.7
73
Features by Category
Automation Building
9.1
3253
|
Verified
Not enough data
9.0
3259
|
Verified
Not enough data
8.8
3156
|
Verified
Not enough data
8.9
3212
|
Verified
Not enough data
8.9
3109
|
Verified
Not enough data
9.3
1428
|
Verified
Not enough data
Bot Management & Execution
9.1
3113
|
Verified
Not enough data
9.0
3119
|
Verified
Not enough data
9.0
3109
|
Verified
Not enough data
8.9
2952
|
Verified
Not enough data
9.1
1398
|
Verified
Not enough data
9.3
1396
|
Verified
Not enough data
Intelligent Automation
9.0
1363
Not enough data
9.1
1306
|
Verified
Not enough data
9.0
1249
Not enough data
Agentic AI - Robotic Process Automation (RPA)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
8.2
35
Not enough data
8.5
37
Not enough data
8.1
32
Management
Not enough data
8.2
33
Not enough data
8.4
31
Not enough data
7.8
30
Development
8.3
59
Not enough data
8.2
15
Not enough data
8.4
15
Not enough data
8.9
16
Not enough data
8.3
15
Not enough data
8.7
15
Not enough data
8.3
16
Not enough data
Management
8.6
16
Not enough data
8.8
14
Not enough data
8.6
15
Not enough data
8.5
16
Not enough data
8.7
15
Not enough data
Security
8.9
16
Not enough data
8.8
16
Not enough data
9.0
16
Not enough data
Integration Options
8.6
15
Not enough data
8.3
15
Not enough data
7.4
14
Not enough data
7.3
13
Not enough data
Deployment
8.8
14
Not enough data
9.0
13
Not enough data
Process Management
9.6
186
Not enough data
9.5
187
Not enough data
9.5
183
Not enough data
9.5
187
Not enough data
Process Analysis
9.6
186
Not enough data
9.5
184
Not enough data
9.6
185
Not enough data
Automation
9.7
185
Not enough data
9.7
183
Not enough data
Generative AI
9.3
10
Not enough data
Agentic AI - Process Mining
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
9.1
103
Not enough data
9.2
99
Not enough data
9.3
100
Not enough data
9.2
99
Not enough data
Automation
9.4
103
Not enough data
9.2
99
Not enough data
9.3
99
Not enough data
Agentic AI - Automation Testing
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Capture
8.5
55
Not enough data
8.5
55
Not enough data
Data Extraction
8.7
55
Not enough data
8.7
55
Not enough data
Data Validation
8.5
55
Not enough data
Workflow Automation
9.0
54
Not enough data
8.9
55
Not enough data
Document Management
8.8
54
Not enough data
8.6
54
Not enough data
Machine Learning
8.5
53
Not enough data
Natural Language Processing
8.6
53
Not enough data
Semantic Analysis
8.6
52
Not enough data
Data Integration
8.9
54
Not enough data
Security
9.0
57
Not enough data
9.0
54
Not enough data
Customization - AI Agent Builders
8.0
9
Not enough data
8.1
8
Not enough data
8.3
8
Not enough data
Functionality - AI Agent Builders
8.3
8
Not enough data
8.5
8
Not enough data
8.0
9
Not enough data
8.1
9
Not enough data
Data and Analytics - AI Agent Builders
8.5
9
Not enough data
8.9
9
Not enough data
8.1
9
Not enough data
Integration - AI Agent Builders
8.8
10
Not enough data
8.8
10
Not enough data
8.7
9
Not enough data
8.9
9
Not enough data
Workflow Design & Orchestration
8.7
5
Not enough data
8.3
5
Not enough data
Integrations & Connectivity
8.3
5
Not enough data
8.0
5
Not enough data
Automation Execution & Intelligence
8.3
5
Not enough data
8.7
5
Not enough data
Development & Customization
8.3
5
Not enough data
9.0
5
Not enough data
Governance & Security
8.0
5
Not enough data
9.0
5
Not enough data
Reporting & Analytics
8.3
5
Not enough data
8.0
5
Not enough data
Agentic AI - Business Automation Platforms (BAPs)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generation and Interpretation - AI App Builder
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generated Application Quality - AI App Builder
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - SAP Store
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Workflow Design & Integration - AI Orchestration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization & Analytics - AI Orchestration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Governance & Compliance Controls - AI Orchestration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Application Design
9.4
626
Not enough data
9.2
633
Not enough data
9.2
606
Not enough data
9.3
626
Not enough data
9.6
646
Not enough data
Data Control
9.3
620
Not enough data
9.3
620
Not enough data
9.4
620
Not enough data
Publishing
9.4
630
Not enough data
9.4
635
Not enough data
9.5
627
Not enough data
Agentic AI - Low-Code Development Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
UiPath Platform™ for Agentic Automation and pandas python share no categories
Unique Categories
UiPath Platform™ for Agentic Automation is categorized as AI Agent Builders, Business Automation Platforms (BAPs), Intelligent Document Processing (IDP), SAP Store, Process Mining, Robotic Process Automation (RPA), iPaaS, Low-Code Development Platforms, Automation Testing, AI Orchestration, and AI App Builder
pandas python is categorized as Component Libraries
Reviews
Reviewers' Company Size
UiPath Platform™ for Agentic Automation
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
pandas python
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
27.3%
Computer Software
9.7%
Financial Services
5.9%
Pharmaceuticals
3.8%
Telecommunications
3.7%
Other
49.6%
Computer Software
19.3%
Information Technology and Services
13.6%
Telecommunications
8.0%
Internet
8.0%
Higher Education
5.7%
Other
45.5%
Most Helpful Reviews
UiPath Platform™ for Agentic Automation
Most Helpful Favorable Review
Verified User in Banking
Most Helpful Critical Review
Alan B.
Verified User in Pharmaceuticals
As with most tools in this space, the visual construction feature soon becomes difficult to manage and navigate. Planning is especially important not just from a requirements prespective but from a design view point as well.
pandas python
Most Helpful Favorable Review
Ruchi S.
Verified User in Pharmaceuticals
Pandas give you a user-friendly tool for filtering, reshaping, modify transform your data; you can add/delete & create rows and columns, same as in Excel, and support different data types. It needs less coding
Most Helpful Critical Review
Mahesh S.
Verified User in Semiconductors
Students can not use it efficiently because the switch to panda from standard python is very tuff. Less effective documentation leads hard to understand library features compare to other packages. Not essential for IoT-based embedded applications.
Verified User in Banking
Ruchi S.
Verified User in Pharmaceuticals
Pandas give you a user-friendly tool for filtering, reshaping, modify transform your data; you can add/delete & create rows and columns, same as in Excel, and support different data types. It needs less coding
Alan B.
Verified User in Pharmaceuticals
As with most tools in this space, the visual construction feature soon becomes difficult to manage and navigate. Planning is especially important not just from a requirements prespective but from a design view point as well.
Mahesh S.
Verified User in Semiconductors
Students can not use it efficiently because the switch to panda from standard python is very tuff. Less effective documentation leads hard to understand library features compare to other packages. Not essential for IoT-based embedded applications.
Alternatives
Discussions
Is it possible to integrate UIPath with any other software?
24 comments
AD
Yes UI path integrates with another Application interfacing elements are triggers and user actionsRead more
What is the best way to learn more instead of just watching video tutorials?
8 comments
SP
You need to increase your efforts and dedication.Read more
How much accurate is OCR
7 comments
DH
UiPath uses many different methods of text recognition and reading, including multiple OCR engines such as Microsoft and Google, all of which are very reliable.Read more
What is your experience with pandas for data analysis, and what features do you find most useful?
1 comment
LM
My experience with pandas for data analysis has been very positive and productive. I find pandas to be an incredibly powerful and flexible library that...Read more
What is pandas python used for?
1 comment
LM
Pandas in Python is primarily used for data manipulation and analysis. It provides powerful data structures like DataFrames and Series that make it easy to...Read more
pandas python has no more discussions with answers
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