Dust vs langflow
On the evidence we track, langflow leads this comparison with a composite score of 62/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for no code agent builders. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Dust
A platform that lets teams build and deploy AI agents capable of accessing company tools and data to work alongside employees on business processes. Provides security controls, audit logs, and role-based permissions for enterprise deployment.
langflow
LeaderAn open-source platform that simplifies building and deploying AI agents and workflow automation with a visual drag-and-drop interface. Supports multiple LLMs, vector databases, and integrations with built-in cloud deployment options.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Dust
Pricing not documented yet.
langflow
LeaderFree open-source + free cloud tier
- Open SourceFree
- CloudFree
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Slack
- Notion
- Google Drive
Dust
- GitHub
- Salesforce
- Zendesk
langflow
Leader- LangSmith
- LangFuse
- Airbyte
- Anthropic
- Azure
- Cassandra
- Confluence
- Couchbase
- Google Cloud
- OpenAI
- Serp API
Dust or langflow: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.