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forever
Self-hosted — you manage infrastructure
month
Usage limits apply — suitable for development and small-scale production
Pricing sourced from Langflow · Last verified March 2026
Both are visual AI builders, but Langflow is Python-based while Flowise is Node.js-based. Langflow's custom components are Python classes (natural for Python teams); Flowise requires TypeScript. Langflow has stronger multi-agent and MCP server support. Flowise has a larger template library. Choose based on your team's language preference and whether you need MCP server generation.
DataStax deprecated their managed Langflow hosting in March 2026, with shutdown on April 9, 2026. Users are directed to migrate to Langflow OSS (self-hosted) or the free cloud tier at langflow.org. The open-source project continues active development independently.
Yes. Langflow has native components that don't depend on LangChain. You can build flows using only Langflow-native components for models, prompts, and operations. LangChain components remain available for specific integrations where they add value.
Options include Docker deployment on cloud VMs with PostgreSQL, the free cloud tier at langflow.org, or the desktop app for local use. Flows automatically get API endpoints and MCP server capabilities. For high availability, deploy behind a reverse proxy with multiple instances.
Langflow works for small to medium-scale production use cases. For high-throughput production systems, you'll want to self-host with Docker on proper infrastructure. The visual builder is strongest for prototyping and moderate-scale deployments — very complex production systems may outgrow the visual interface and benefit from code-first frameworks.
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