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Compare Botpress and Rasa 
Featured Products
At a Glance
Market Segments
Small-Business (78.1% of reviews)
Small-Business (72.7% of reviews)
Entry-Level Pricing
Free Per Month
Free
Botpress
Star Rating
(472)4.5 out of 5
Market Segments
Small-Business (78.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free Per Month
Free Trial is available
Browse all 4 pricing plansRasa
Star Rating
(11)4.0 out of 5
Market Segments
Small-Business (72.7% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Botpress excels in user-friendliness, with many users highlighting its intuitive interface that allows even non-technical users to build chatbots from scratch. One user mentioned, "Using Botpress allows a non-technically trained user to build a chatbot from scratch," showcasing its accessibility.
- Users say that Rasa is tailored for machine learning experts, making it a powerful tool for those with technical expertise. Reviewers noted its performance capabilities, stating, "Rasa is a tool designed for machine learning experts who strive for performance," which may limit its appeal for smaller businesses without technical resources.
- According to verified reviews, Botpress stands out for its customization options, with users appreciating the ability to handle unique client requests. One user expressed confidence in Botpress’s capabilities, saying, "I love how customizable Botpress is, allowing me to handle unique client requests reliably."
- Reviewers mention that Rasa offers strong integration capabilities, which is a significant advantage for businesses looking to connect their chatbot with various platforms. A user noted, "I like about Rasa how much it is integratable and easy to train," indicating its flexibility in different environments.
- Users highlight Botpress's quick implementation process, with many praising its onboarding experience. One user described it as "like the Facebook for bots," emphasizing how easy it is to navigate and use, which is crucial for businesses needing to deploy solutions rapidly.
- G2 reviewers report that while Botpress has a higher overall satisfaction score, Rasa's quality of support is noted as a strong point, with users rating it positively. However, Botpress still maintains a competitive edge in user experience, with feedback indicating a preference for its more user-friendly approach.
Pricing
Entry-Level Pricing
Botpress
Pay-as-you-go
Free
Per Month
Includes:
- Visual building studio
- Free monthly AI credit
- Integration hub
Rasa
Developer Edition
Free
For developers exploring AI assistant projects, you can access all of Rasa Pro on your own computer. CALM, Enterprise Search, E2E testing, and more. Community Support is available in our Forum.
- Access to Rasa Pro and our dialogue engine CALM (Conversational AI with Language Models) .
Free Trial
Botpress
Free Trial is available
Rasa
Free Trial is available
Ratings
Meets Requirements
8.4
344
7.8
9
Ease of Use
8.4
352
7.2
9
Ease of Setup
8.5
257
Not enough data
Ease of Admin
8.5
206
Not enough data
Quality of Support
8.0
298
8.3
9
Has the product been a good partner in doing business?
8.5
195
Not enough data
Product Direction (% positive)
9.5
351
5.0
7
Features by Category
Messenger
8.3
61
Not enough data
8.7
65
Not enough data
7.8
60
Not enough data
8.5
61
Not enough data
Channels
7.9
59
Not enough data
8.8
61
Not enough data
7.0
56
Not enough data
6.6
55
Not enough data
7.7
54
Not enough data
Customers
8.0
57
Not enough data
7.9
56
Not enough data
8.0
57
Not enough data
8.7
57
Not enough data
8.2
53
Not enough data
Agentic AI - Conversational Marketing
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
Responses
8.5
203
Not enough data
8.2
198
Not enough data
7.6
196
Not enough data
8.1
195
Not enough data
7.8
189
Not enough data
Platform
7.9
194
Not enough data
8.3
202
Not enough data
8.0
198
Not enough data
7.8
193
Not enough data
7.2
189
Not enough data
7.9
193
Not enough data
8.2
194
Not enough data
Generative AI
8.3
147
Not enough data
8.2
142
Not enough data
Conversational Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Support Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
8.4
133
Not enough data
8.2
130
Not enough data
Agentic AI - Bot Platforms
7.7
8
Not enough data
7.5
8
Not enough data
7.3
8
Not enough data
6.5
8
Not enough data
7.5
8
Not enough data
7.1
8
Not enough data
7.9
8
Not enough data
Generative AI
8.2
102
Not enough data
Self-Service Experience
8.1
118
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
7.1
113
Not enough data
7.9
112
Not enough data
Self-Service Platform
7.8
113
Not enough data
8.6
117
Not enough data
8.7
116
Not enough data
8.3
117
Not enough data
Agentic AI - Customer Self-Service
8.2
14
Not enough data
7.7
15
Not enough data
8.1
17
Not enough data
7.7
15
Not enough data
8.0
15
Not enough data
7.8
15
Not enough data
8.5
14
Not enough data
Scalability and Performance - Generative AI Infrastructure
8.3
29
Not enough data
8.2
29
Not enough data
8.2
29
Not enough data
Cost and Efficiency - Generative AI Infrastructure
8.0
30
Not enough data
8.2
30
Not enough data
8.5
24
Not enough data
Integration and Extensibility - Generative AI Infrastructure
8.0
29
Not enough data
8.3
28
Not enough data
8.5
30
Not enough data
Security and Compliance - Generative AI Infrastructure
8.3
28
Not enough data
8.2
29
Not enough data
7.8
23
Not enough data
Usability and Support - Generative AI Infrastructure
7.9
29
Not enough data
8.3
28
Not enough data
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
7.8
13
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
8.9
9
Not enough data
8.0
9
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
7.3
8
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
7.3
8
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
6.9
8
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
6.7
9
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
9.1
9
Not enough data
7.9
8
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
8.3
9
Not enough data
7.0
9
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
Feature Not Available
Not enough data
8.1
9
Not enough data
Security - Large Language Model Operationalization (LLMOps)
Feature Not Available
Not enough data
8.3
8
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
8.1
8
Not enough data
Customization - AI Agent Builders
7.9
34
Not enough data
7.6
33
Not enough data
7.6
34
Not enough data
Functionality - AI Agent Builders
7.6
33
Not enough data
8.1
31
Not enough data
7.8
33
Not enough data
7.3
31
Not enough data
Data and Analytics - AI Agent Builders
7.5
34
Not enough data
7.8
33
Not enough data
8.2
34
Not enough data
Integration - AI Agent Builders
8.1
36
Not enough data
7.6
35
Not enough data
7.6
35
Not enough data
7.2
32
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
Categories
Categories
Shared Categories
Botpress and Rasa are categorized as Conversational Marketing and Bot Platforms
Unique Categories
Botpress is categorized as AI Agent Builders, Large Language Model Operationalization (LLMOps), Generative AI Infrastructure, Chatbots, Customer Self-Service, and AI Orchestration
Rasa is categorized as Conversational Support
Reviews
Reviewers' Company Size
Botpress
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Rasa
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
14.6%
Computer Software
9.9%
Marketing and Advertising
9.7%
Consulting
6.6%
Higher Education
3.6%
Other
55.5%
Computer Software
36.4%
Information Technology and Services
18.2%
Telecommunications
9.1%
Marketing and Advertising
9.1%
Graphic Design
9.1%
Other
18.2%
Discussions
Is Botpress open source?
3 Comments
MD
Ye, Botpress is an open source platform. It helps developers to create and manage chatbots for various applications both on the cloud and localhost studioRead more
How do you use Botpress?
2 Comments
MD
I use bot press on the cloud platform for designing chatbots it's an amazing tool to develop GUI-based chatbots and integrate with other websites. Read more
Is Botpress good?
2 Comments
KK
Yes Botpress is very good and provides all the required featuresRead more
Rasa has no discussions with answers
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