Flowise
automation
Flowise is an open-source visual builder for creating LLM applications and AI agents using a drag-and-drop interface
Pricing
Free plan
Rating
—
Votes
0
Head-to-head comparison
Flowise vs Langflow
Compare Flowise and Langflow side by side across pricing, features, ratings, pros, cons, best-fit use cases, and alternatives.
Langflow
automation
Langflow is an open-source, low-code visual builder for creating AI agents, RAG applications, and MCP servers
Pricing
Free plan
Rating
—
Votes
0
Feature comparison
Feature
Flowise
Langflow
Category
automation
automation
Pricing
Free plan
Free plan
Free plan
API access
Mobile app
Browser extension
Team collaboration
Custom training
Self-hosted option
Offline mode
Multi-language support
Flowise pros and cons
Open-source with self-hosting option, giving full control over infrastructure and data
Visual drag-and-drop interface makes LLM workflow building accessible without extensive coding
Strong focus on RAG systems and agent orchestration with LangChain integration
Active community with around 30,000 GitHub stars and adoption by enterprise teams (AWS, Accenture, Priceline)
Note: Tends to output English responses even when input documents are in other languages, according to user reports
Note: Relatively stable GitHub growth compared to competitors like Dify (58,000 stars) and Langflow (42,000 stars)
Note: Requires some foundational knowledge in JavaScript and Python to unlock full development capabilities
Langflow pros and cons
Highly intuitive visual interface for building multi-step AI agents, rated more user-friendly than AutoGen and PromptChainer by reviewers
Python-based component system makes it much simpler to create and share custom components across projects compared to alternatives
Strong community support with 149k GitHub stars, 25k Discord members, and active development (version 1.9 recently released)
Extensive code control capabilities among low-code platforms, allowing developers to customize beyond visual constraints
Note: Lacks advanced scheduling, retries, and observability features needed for production deployments compared to tools like Airflow or n8n
Note: Limited workflow breadth for non-AI automations across CRM, email, or chat apps compared to general automation platforms
Note: Production readiness concerns raised by users, with questions about scalability and enterprise deployment capabilities
Which one should you choose?
Best overall signal
Flowise
Selected using Toolglade popularity signals such as views and votes.
Best value signal
Flowise
Selected using free-plan availability and engagement signals.
Best for
Flowise
- ML engineers and Python developers building production-grade AI agents
- Teams needing self-hosted, open-source LLM solutions with infrastructure control
- Developers creating RAG systems and custom AI workflows with visual tools
- Organizations requiring flexible LLM chaining without vendor lock-in
Langflow
- Developers prototyping AI-specific solutions with LLMs, agents, and RAG workflows
- Teams needing visual AI workflow builders with Python customization capabilities
- Organizations building MVPs that require easy collaboration with non-technical stakeholders
- Python developers familiar with LangChain who want a visual layer for agent orchestration
FAQ
Is Flowise better than Langflow?
It depends on your use case. Compare category fit, pricing, feature availability, and ratings before choosing.
Which tool has a free plan?
Flowise and Langflow offer a free plan based on current Toolglade data.