Langflow vs Flowise
You are comparing two self-hostable visual builders for LLM workflows. Langflow is actively maintained; Flowise announced that official maintenance ends in August 2026, making fork ownership or migration a primary decision factor.
Langflow
Open-source visual builder for LangChain-style agents and RAG flows — drag-and-drop, Python-native, self-hostable.
Read review →
Flowise
Apache-licensed visual builder for LLM agents and chatflows — self-hostable, with upstream end-of-life announced for August 2026.
Read review →Our take
For a new maintained deployment, Langflow is the safer default. Existing Flowise users may keep its Node.js fit, but should select a maintained fork or plan migration. If you need a fuller end-user product surface, compare Dify separately.
- Langflow wins 2
- Flowise wins 2
- Ties: 8
Side-by-side
| Langflow | Flowise | |
|---|---|---|
| Agent layer DB | Builder (visual/low-code) | Builder (visual/low-code) |
| Primary surface DB | Visual-first | Visual-first |
| Model support DB | Any (via adapter) | Any (via adapter) |
| Runtime | Python (LangChain-native) | Node.js / TypeScript |
| License | MIT (true OSS) | Apache 2.0 (true OSS) |
| Canvas performance | Slower on large flows | Faster, lightweight |
| LangChain coupling | High (every node is a LangChain class) | Lower (own abstractions) |
| Custom components | Python classes | TypeScript classes |
| Embedded chat / SDK | API + iframe | Chat widget + REST API + SDK |
| Maintenance status | Active project | Official maintenance ending August 2026 |
| Adoption boundary | Candidate for new deployments | Requires maintained fork or migration plan |
| Best for | Python + LangChain shops | JS / TS shops |
DB rows are facts from the Tool Database. The ✓ mark is our editorial verdict, not a sourced fact.
Evidence & sources
Comparison facts are drawn from our Tool Database; the verdict and analysis are editorial. Verify each fact against the official sources below.
Langflow
Last verified:
- license · checked 2026-07-18
- agentLayer · checked 2026-07-18
- language · checked 2026-07-18
Flowise
Last verified:
- license · checked 2026-07-18
- agentLayer · checked 2026-07-18
- language · checked 2026-07-18
Two near-identical mental models, two different runtimes
Unlike most compare pages, this is not a mental-model fight. Both Langflow and Flowise model your AI workflow as a canvas of nodes: a prompt node feeds a retriever node feeds a model node feeds an output node. The difference is not the conceptual model but the runtime, the integrations, and the host ecosystem.
Langflow lives in Python. Its engine is LangChain (Python), its components are first-class LangChain primitives wrapped in a UI, and its natural host ecosystem is Python services and data tooling. DataStax backing means Astra DB and vector-store integrations are particularly tight.
Flowise lives in Node.js and uses LangChain.js-oriented components. Its maintainers announced an August 2026 end of official maintenance, so runtime fit is no longer the only decision: continued use requires a maintained fork or migration plan.
Use cases: when each one wins
Langflow fits Python-shaped backends (Django/FastAPI services embedding an LLM workflow), data-team-owned AI where analysts already write Python, Astra DB / Cassandra users via DataStax backing, deeper LangChain feature parity (a new LangChain Python feature lands in Langflow sooner), and self-hosted deployments that drop into existing Python container stacks.
Flowise fits JavaScript-shaped products (Next.js, Remix, SvelteKit apps that want an LLM workflow), web-team-owned AI where frontend engineers do not want to run Python services, quick chat embeds via the clean embed widget, a smaller curated component set for non-LangChain veterans, and self-hosted deployments that drop into existing Node containers.
Learning curve
The two canvases expose different component sets and runtimes. Test the representative flow with the intended operators rather than assuming a universal learning-curve winner.
Langflow rewards Python and LangChain familiarity. Flowise can remain familiar to JS-first teams, but its maintenance status now outweighs a small onboarding preference for a new deployment.
Pricing comparison
Langflow is MIT-licensed and Flowise is Apache-2.0. Total cost depends on model calls, context, retrieval, infrastructure, and hosted services; equivalent-looking flows do not guarantee identical traces.
Flowise also carries maintenance ownership after the announced end of official support. Include fork maintenance or migration in the comparison rather than treating Python-versus-Node hosting as the entire cost split.
Final verdict
For a new deployment, Langflow is the maintained default in this pair. Flowise remains a possible existing-system choice only when the team has selected a maintained fork or accepts a migration plan.
If the real need is a fuller AI product platform, compare Dify separately. Category fit still matters, but Flowise lifecycle risk must now be evaluated before runtime preference.
FAQ
- Which is better, Langflow or Flowise?
- For a new maintained deployment, Langflow is the safer default. Existing Flowise users may keep its Node.js fit, but should select a maintained fork or plan migration. If you need a fuller end-user product surface, compare Dify separately.
- What are the main differences?
- Agent layer: Langflow — Builder (visual/low-code); Flowise — Builder (visual/low-code). Primary surface: Langflow — Visual-first; Flowise — Visual-first. Model support: Langflow — Any (via LangChain adapter); Flowise — Any (via LangChain.js adapter). Runtime: Langflow — Python (LangChain-native); Flowise — Node.js / TypeScript. License: Langflow — MIT (true OSS); Flowise — Apache 2.0 (true OSS). Canvas performance: Langflow — Slower on large flows; Flowise — Faster, lightweight. LangChain coupling: Langflow — High (every node is a LangChain class); Flowise — Lower (own abstractions). Custom components: Langflow — Python classes; Flowise — TypeScript classes. Embedded chat / SDK: Langflow — API + iframe; Flowise — Chat widget + REST API + SDK. Maintenance status: Langflow — Active project; Flowise — Official maintenance ending August 2026. Adoption boundary: Langflow — Candidate for new deployments; Flowise — Requires maintained fork or migration plan. Best for: Langflow — Python + LangChain shops; Flowise — JS / TS shops.
- Is Langflow cheaper than Flowise?
- Pricing depends on workload. See each tool's review for current tiers.