Comparison
langflow vs dify
Verdict
Pick langflow if langflow is a Python-based tool for building and deploying AI workflows using large language models and agent systems; pick dify if dify is a comprehensive low-code/no-code AI agentic framework designed for workflow and process automation, offering deployment via Docker Compose and multiple cloud platforms.
Markdown twin · langflow alternatives · dify alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | langflow | dify |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 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
- langflow
- Tool for building and deploying AI-powered agents and workflows
- dify
- Production-ready platform for agentic workflow development
Stars
- langflow
- 153k
- dify
- 152k
Forks
- langflow
- 9.7k
- dify
- 24k
Open issues
- langflow
- 972
- dify
- 931
Language
- langflow
- Python
- dify
- TypeScript
Adopt for
- langflow
- Langflow is a Python-based tool for building and deploying AI workflows using large language models and agent systems.
- dify
- Dify is a comprehensive low-code/no-code AI agentic framework designed for workflow and process automation, offering deployment via Docker Compose and multiple cloud platforms.
Persona
- langflow
- -
- dify
- -
Runtime
- langflow
- -
- dify
- -
License
- langflow
- MIT
- dify
- Other
Last pushed
- langflow
- Aug 2, 2026
- dify
- Aug 7, 2026
Categories
- langflow
- AI Agents, Model Training
- dify
- AI Agents
Trust and health
Open issues (now)
- langflow
- 972
- dify
- 931
Stars delta
- langflow
- Unknown
- dify
- +3.6k (30d)
Open issues delta
- langflow
- Unknown
- dify
- +118 (30d)
OSV dependency advisories
- langflow
- No published findings from this source as of 2026-07-11
- dify
- No lockfile (source not queried)
Full report
- langflow
- Trust report
- dify
- Trust report
Typed relationship
Choose langflow if…
- langflow is primarily Python; dify is TypeScript.
- License: langflow is MIT, dify is Other.
- Pricing: Open-source under MIT license with community and commercial options available; the OSS version is free to use at your own risk..
- Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.10–3.14, the recommended uv package manager is beneficial but not explicitly required for installation.; Docker can be used to start a Langflow container with default settings..
- Langflow and dify are considered alternatives because both offer platforms to develop and deploy AI-powered workflows with support for visual authoring. While Langflow emphasizes integration capabilities through API/MCP server features targeting enterprise needs, Dify focuses on being production-ready and accessible with a no-code/low-code approach.
- Tags unique to langflow: agents, chatgpt, generative-ai, large language models.
- Also covers Model Training.
- Use Langflow if you are working with Python versions from 3.10 to 3.14, as these versions are specifically supported for seamless operation of the tool.
When NOT to use langflow
- Do not use Langflow if your Python environment does not align with version constraints between 3.10 and 3.14.
- Langflow may not be the best fit if you are seeking a platform that operates without any language model integration, as it fundamentally relies on such models for its functionality.
Choose dify if…
- dify is primarily TypeScript; langflow is Python.
- License: dify is Other, langflow is MIT.
- Requirements: Min 4 GB RAM; Requires Docker.
- Langflow and dify are considered alternatives because both offer platforms to develop and deploy AI-powered workflows with support for visual authoring. While Langflow emphasizes integration capabilities through API/MCP server features targeting enterprise needs, Dify focuses on being production-ready and accessible with a no-code/low-code approach.
- Tags unique to dify: agent, agentic-ai, agentic-framework, automation.
- When you need a production-grade platform with support for various deployment methods such as Docker Compose, Kubernetes Helm Charts, Terraform, AWS CDK, and Alibaba Cloud services.
When NOT to use dify
- If your project strictly requires a specific proprietary licensing scheme not aligned with Dify’s customized open-source license that is based on Apache 2.0.
- In cases where the desired workflow development tool should be written in a language other than TypeScript or Python, as Dify centers primarily around these languages.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (langflow-ai/langflow) · observed Aug 2, 2026
- GitHub forks (langflow-ai/langflow) · observed Aug 2, 2026
- Last push (langflow-ai/langflow) · observed Aug 2, 2026
- License file (MIT) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (langgenius/dify) · observed Aug 8, 2026
- GitHub forks (langgenius/dify) · observed Aug 8, 2026
- Last push (langgenius/dify) · 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 on cards: langflow 153k · dify 152k (synced Aug 2, 2026).
Common questions
- What is the difference between langflow and dify?
- langflow: Tool for building and deploying AI-powered agents and workflows. dify: Production-ready platform for agentic workflow development. See the comparison table for live GitHub stats and shared categories.
- When should I choose langflow over dify?
- Choose langflow over dify when langflow is primarily Python; dify is TypeScript; License: langflow is MIT, dify is Other; Pricing: Open-source under MIT license with community and commercial options available; the OSS version is free to use at your own risk.; Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.10–3.14, the recommended uv package manager is beneficial but not explicitly required for installation.; Docker can be used to start a Langflow container with default settings.; Langflow and dify are considered alternatives because both offer platforms to develop and deploy AI-powered workflows with support for visual authoring. While Langflow emphasizes integration capabilities through API/MCP server features targeting enterprise needs, Dify focuses on being production-ready and accessible with a no-code/low-code approach; Tags unique to langflow: agents, chatgpt, generative-ai, large language models; Also covers Model Training; Use Langflow if you are working with Python versions from 3.10 to 3.14, as these versions are specifically supported for seamless operation of the tool.
- When should I choose dify over langflow?
- Choose dify over langflow when dify is primarily TypeScript; langflow is Python; License: dify is Other, langflow is MIT; Requirements: Min 4 GB RAM; Requires Docker; Langflow and dify are considered alternatives because both offer platforms to develop and deploy AI-powered workflows with support for visual authoring. While Langflow emphasizes integration capabilities through API/MCP server features targeting enterprise needs, Dify focuses on being production-ready and accessible with a no-code/low-code approach; Tags unique to dify: agent, agentic-ai, agentic-framework, automation; When you need a production-grade platform with support for various deployment methods such as Docker Compose, Kubernetes Helm Charts, Terraform, AWS CDK, and Alibaba Cloud services.
- When should I avoid langflow?
- Do not use Langflow if your Python environment does not align with version constraints between 3.10 and 3.14. Langflow may not be the best fit if you are seeking a platform that operates without any language model integration, as it fundamentally relies on such models for its functionality.
- When should I avoid dify?
- If your project strictly requires a specific proprietary licensing scheme not aligned with Dify’s customized open-source license that is based on Apache 2.0. In cases where the desired workflow development tool should be written in a language other than TypeScript or Python, as Dify centers primarily around these languages.
- Is langflow or dify more popular on GitHub?
- langflow has more GitHub stars (152,744 vs 151,725). Stars measure visibility, not whether either tool fits your constraints.
- Are langflow and dify open source?
- Yes - both are open-source projects on GitHub (langflow: MIT, dify: Other).
- Where can I find alternatives to langflow or dify?
- GraphCanon lists graph-backed alternatives at langflow alternatives and dify alternatives (langflow markdown twin, dify 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, langflow or dify?
- langflow: Very active. dify: 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 langflow and dify?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langflow trust report; dify trust report.