Flowise vs 
Kestra
Flowise vs Kestra compared for 2026 — features, license, ease of use, performance and which one to choose. Drag-and-drop LLM flows vs Declarative orchestration with AI steps.
Updated regularly · curated by OpenSourceAI.tech
Flowise vs Kestra at a glance
| Spec | Flowise | Kestra |
|---|---|---|
| Category | Low-code AI builder | Low-code AI builder |
| Type | Visual LLM builder | Orchestration platform |
| License | Apache-2.0 | Apache-2.0 |
| Runs locally | Self-hosted | Yes |
| Primary language | TypeScript | Java |
| Ease of use | Beginner | Intermediate |
| Best for | builders who want fast visual prototyping | data pipelines that include AI steps |
| GitHub stars | 54.7k | 27.4k |
How Flowise and Kestra score
| Criterion | Flowise | Kestra |
|---|---|---|
| Popularity | 4.5 | 3.5 |
| Maintenance | 5.0 | 5.0 |
| Ease of use | 5.0 | 3.5 |
| Privacy | 4.5 | 5.0 |
| License freedom | 5.0 | 5.0 |
Scores are computed automatically from public signals — GitHub stars (popularity), recent commit activity (maintenance), license type (freedom), local-first design (privacy) and onboarding complexity (ease of use). Indicative, not a verdict.
What each one is
Flowise
Flowise is a drag-and-drop builder for LLM apps and agents, letting you assemble chains, tools and RAG visually on top of LangChain primitives.
- Fast drag-and-drop flow building
- Built on familiar LangChain primitives
- Quick to prototype chatbots and agents
Kestra
Kestra orchestrates data and AI workflows declaratively in YAML, with a UI, scheduling and hundreds of plugins.
- Declarative YAML workflows
- Handles large data pipelines
- Rich plugin ecosystem
Key differences
Flowise is visual LLM builder, while Kestra is orchestration platform. Flowise leans more beginner-friendly, whereas Kestra is more suited to intermediate users. They also differ in how they run (Self-hosted vs Yes). In short, Flowise fits builders who want fast visual prototyping, and Kestra fits data pipelines that include AI steps.
Which should you choose?
Choose Flowise for builders who want fast visual prototyping. Choose Kestra for data pipelines that include AI steps.
There is rarely one winner — many setups use both. The right pick depends on your hardware, your team's skills, and whether you value simplicity or control.
Frequently asked questions
Is Flowise or Kestra easier to use?
Flowise is generally the easier of the two to get started with, while Kestra rewards more setup with more control.
Are Flowise and Kestra free?
Flowise is free and open source (Apache-2.0), and Kestra is free and open source (Apache-2.0). Neither charges for the core software.
Can I run Flowise and Kestra locally?
Flowise: self-hosted · Kestra: yes. Both can be used without sending your data to a third-party cloud where their setup allows.
Flowise vs Kestra — which should I pick in 2026?
Choose Flowise for builders who want fast visual prototyping. Choose Kestra for data pipelines that include AI steps.
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