Comparison
Flowise vs langchain
Verdict
Pick Flowise if flowise enables users to build AI agents visually, focusing on a low-code/no-code approach with support for technologies like langchain and large-language-models; pick langchain if langChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect.
Markdown twin · Flowise alternatives · langchain alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | Flowise | langchain |
|---|---|---|
| Maintenance | Very active (1d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- Flowise
- Build AI Agents, Visually
- langchain
- The agent engineering platform.
Stars
- Flowise
- 55k
- langchain
- 144k
Forks
- Flowise
- 25k
- langchain
- 24k
Open issues
- Flowise
- 1.0k
- langchain
- 463
Language
- Flowise
- TypeScript
- langchain
- Python
Adopt for
- Flowise
- Flowise enables users to build AI agents visually, focusing on a low-code/no-code approach with support for technologies like langchain and large-language-models.
- langchain
- LangChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect
Persona
- Flowise
- -
- langchain
- -
Runtime
- Flowise
- -
- langchain
- -
License
- Flowise
- Other
- langchain
- MIT License, allowing free use for both personal and commercial purposes under its stipulated terms.
Last pushed
- Flowise
- Aug 7, 2026
- langchain
- Aug 7, 2026
Categories
- Flowise
- AI Agents, Developer Tools
- langchain
- AI Agents, LLM Frameworks
Trust and health
Days since push
- Flowise
- 1d
- langchain
- 0d
Open issues (now)
- Flowise
- 1.0k
- langchain
- 463
Stars delta
- Flowise
- +816 (30d)
- langchain
- +2.3k (30d)
Open issues delta
- Flowise
- +64 (30d)
- langchain
- +57 (30d)
Full report
- Flowise
- Trust report
- langchain
- Trust report
Typed relationship
Flowise integrates langchainFlowise is likely to integrate with LangChain given that both focus on the development of AI agents and could be complementary in building complex agentic workflows.
Choose Flowise if…
- Flowise is primarily TypeScript; langchain is Python.
- License: Flowise is Other, langchain is MIT.
- Requirements: Requires Docker; Can be installed locally using NodeJS or Docker Compose. Supports various hosting options including cloud platforms and personal servers..
- Flowise is likely to integrate with LangChain given that both focus on the development of AI agents and could be complementary in building complex agentic workflows.
- Tags unique to Flowise: agentic-ai, large language models, low-code, multiagent-systems.
- Also covers Developer Tools.
- Flowise ships Docker support for self-hosted deployment.
- Flowise enables users to build AI agents visually, focusing on a low-code/no-code approach with support for technologies like langchain and large-language-models.
When NOT to use Flowise
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Choose langchain if…
- langchain is primarily Python; Flowise is TypeScript.
- License: langchain is MIT, Flowise is Other.
- Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI..
- Flowise is likely to integrate with LangChain given that both focus on the development of AI agents and could be complementary in building complex agentic workflows.
- Tags unique to langchain: agents, ai-agents, anthropic, chatgpt.
- Also covers LLM Frameworks.
- * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations.
When NOT to use langchain
- * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity.
- * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth
- * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (FlowiseAI/Flowise) · observed Aug 8, 2026
- GitHub forks (FlowiseAI/Flowise) · observed Aug 8, 2026
- Last push (FlowiseAI/Flowise) · observed Aug 7, 2026
- License file (Other) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (langchain-ai/langchain) · observed Aug 7, 2026
- GitHub forks (langchain-ai/langchain) · observed Aug 7, 2026
- Last push (langchain-ai/langchain) · observed Aug 7, 2026
- License file (MIT) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Flowise 55k · langchain 144k (synced Aug 8, 2026).
Common questions
- What is the difference between Flowise and langchain?
- Flowise: Build AI Agents, Visually. langchain: The agent engineering platform.. See the comparison table for live GitHub stats and shared categories.
- When should I choose Flowise over langchain?
- Choose Flowise over langchain when Flowise is primarily TypeScript; langchain is Python; License: Flowise is Other, langchain is MIT; Requirements: Requires Docker; Can be installed locally using NodeJS or Docker Compose. Supports various hosting options including cloud platforms and personal servers.; Flowise is likely to integrate with LangChain given that both focus on the development of AI agents and could be complementary in building complex agentic workflows; Tags unique to Flowise: agentic-ai, large language models, low-code, multiagent-systems; Also covers Developer Tools; Flowise ships Docker support for self-hosted deployment; Flowise enables users to build AI agents visually, focusing on a low-code/no-code approach with support for technologies like langchain and large-language-models.
- When should I choose langchain over Flowise?
- Choose langchain over Flowise when langchain is primarily Python; Flowise is TypeScript; License: langchain is MIT, Flowise is Other; Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI.; Flowise is likely to integrate with LangChain given that both focus on the development of AI agents and could be complementary in building complex agentic workflows; Tags unique to langchain: agents, ai-agents, anthropic, chatgpt; Also covers LLM Frameworks; * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations.
- When should I avoid Flowise?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- When should I avoid langchain?
- * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity. * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework.
- Is Flowise or langchain more popular on GitHub?
- langchain has more GitHub stars (143,615 vs 55,246). Stars measure visibility, not whether either tool fits your constraints.
- Are Flowise and langchain open source?
- Yes - both are open-source projects on GitHub (Flowise: Other, langchain: MIT).
- Where can I find alternatives to Flowise or langchain?
- GraphCanon lists graph-backed alternatives at Flowise alternatives and langchain alternatives (Flowise markdown twin, langchain markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, Flowise or langchain?
- Flowise: Very active. langchain: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for Flowise and langchain?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Flowise trust report; langchain trust report.