Comparison
langflow vs metaflow
Verdict
Pick langflow if langflow is a Python-based tool for building and deploying AI-powered agents and workflows, supporting multiagent systems and integration with large language models; pick metaflow if metaflow is a comprehensive Python framework for building, managing, and deploying AI/ML systems that stands out with its support for distributed training, cost optimization, and seamless integration across various cloud.
Markdown twin · langflow alternatives · metaflow alternatives
GraphCanon updated Sep 20, 2026
8views this month
Trust & integrity
| Signal | langflow | metaflow |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (5d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- A tool for building and deploying AI-powered agents and workflows
- metaflow
- Build, Manage and Deploy AI/ML Systems
Stars
- langflow
- 155k
- metaflow
- 10k
Forks
- langflow
- 10k
- metaflow
- 1.4k
Open issues
- langflow
- 1.1k
- metaflow
- 503
Language
- langflow
- Python
- metaflow
- Python
Adopt for
- langflow
- Langflow is a Python-based tool for building and deploying AI-powered agents and workflows, supporting multiagent systems and integration with large language models.
- metaflow
- Metaflow is a comprehensive Python framework for building, managing, and deploying AI/ML systems that stands out with its support for distributed training, cost optimization, and seamless integration across various cloud
Persona
- langflow
- -
- metaflow
- -
Runtime
- langflow
- -
- metaflow
- -
License
- langflow
- MIT
- metaflow
- Apache-2.0
Last pushed
- langflow
- Sep 18, 2026
- metaflow
- Sep 14, 2026
Categories
- langflow
- AI Agents, Developer Tools
- metaflow
- Inference & Serving, Model Training
Trust and health
Days since push
- langflow
- 0d
- metaflow
- 5d
Open issues (now)
- langflow
- 1.1k
- metaflow
- 503
Stars delta
- langflow
- +2.2k (30d)
- metaflow
- +45 (30d)
Open issues delta
- langflow
- +114 (30d)
- metaflow
- +22 (30d)
OSV dependency advisories
- langflow
- No published findings from this source as of 2026-09-18
- metaflow
- No lockfile (source not queried)
Full report
- langflow
- Trust report
- metaflow
- Trust report
Choose langflow if…
- License: langflow is MIT, metaflow is Apache-2.0.
- Tags unique to langflow: chatgpt, generative-ai, large-language-models, multiagent.
- Also covers AI Agents, Developer Tools.
- When you need to develop AI agents and workflows that can integrate with large language models, as Langflow supports this integration directly.
When NOT to use langflow
- If your project does not require the use of large language models or multiagent systems, as Langflow's strengths lie in these areas.
- When you are working in an environment that does not support Python 3.10–3.14, as Langflow requires this specific version range.
- If you are looking for a tool that does not require the use of the uv package manager, as Langflow recommends uv for installation and running.
Choose metaflow if…
- License: metaflow is Apache-2.0, langflow is MIT.
- Tags unique to metaflow: ai, aws, azure, cost-optimization.
- Also covers Inference & Serving, Model Training.
- - Your project requires scalable solutions that can extend to external compute clusters to handle complex ML tasks efficiently.
When NOT to use metaflow
- - If your team prefers working with a low-level infrastructure setup without integrated scaling and cost optimization tools.
- - When prioritizing lightweight frameworks that don't require external compute clusters or sophisticated orchestration services for deployment.
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 Sep 20, 2026
- GitHub forks (langflow-ai/langflow) · observed Sep 20, 2026
- Last push (langflow-ai/langflow) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (Netflix/metaflow) · observed Sep 20, 2026
- GitHub forks (Netflix/metaflow) · observed Sep 20, 2026
- Last push (Netflix/metaflow) · observed Sep 14, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: langflow 155k · metaflow 10k (synced Sep 20, 2026).
Common questions
- What is the difference between langflow and metaflow?
- langflow: A tool for building and deploying AI-powered agents and workflows. metaflow: Build, Manage and Deploy AI/ML Systems. See the comparison table for live GitHub stats and shared categories.
- When should I choose langflow over metaflow?
- Choose langflow over metaflow when License: langflow is MIT, metaflow is Apache-2.0; Tags unique to langflow: chatgpt, generative-ai, large-language-models, multiagent; Also covers AI Agents, Developer Tools; When you need to develop AI agents and workflows that can integrate with large language models, as Langflow supports this integration directly.
- When should I choose metaflow over langflow?
- Choose metaflow over langflow when License: metaflow is Apache-2.0, langflow is MIT; Tags unique to metaflow: ai, aws, azure, cost-optimization; Also covers Inference & Serving, Model Training; - Your project requires scalable solutions that can extend to external compute clusters to handle complex ML tasks efficiently.
- When should I avoid langflow?
- If your project does not require the use of large language models or multiagent systems, as Langflow's strengths lie in these areas. When you are working in an environment that does not support Python 3.10–3.14, as Langflow requires this specific version range. If you are looking for a tool that does not require the use of the uv package manager, as Langflow recommends uv for installation and running.
- When should I avoid metaflow?
- - If your team prefers working with a low-level infrastructure setup without integrated scaling and cost optimization tools. - When prioritizing lightweight frameworks that don't require external compute clusters or sophisticated orchestration services for deployment.
- Is langflow or metaflow more popular on GitHub?
- langflow has more GitHub stars (154,963 vs 10,273). Stars measure visibility, not whether either tool fits your constraints.
- Are langflow and metaflow open source?
- Yes - both are open-source projects on GitHub (langflow: MIT, metaflow: Apache-2.0).
- Where can I find alternatives to langflow or metaflow?
- GraphCanon lists graph-backed alternatives at langflow alternatives and metaflow alternatives (langflow markdown twin, metaflow 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 metaflow?
- langflow: Very active. metaflow: 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 metaflow?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langflow trust report; metaflow trust report.