Home/Compare/langflow vs unstract

Comparison

langflow vs unstract

Verdict

Pick langflow when license: langflow is MIT, unstract is AGPL-3.0; pick unstract when license: unstract is AGPL-3.0, langflow is MIT.

Markdown twin · langflow alternatives · unstract alternatives

GraphCanon updated today

langflow logo

langflow

langflow-ai/langflow

152kpushed Jul 11, 2026
vs
unstract logo

unstract

Zipstack/unstract

6.7kpushed Jul 11, 2026

Trust & integrity

Signallangflowunstract
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No criticals
As of today · osv@v1
No MCP manifest
As of today · mcp_manifest

Tagline

langflow
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
unstract
LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows

Stars

langflow
152k
unstract
6.7k

Forks

langflow
9.7k
unstract
633

Open issues

langflow
975
unstract
84

Language

langflow
Python
unstract
Python

Adopt for

langflow
Langflow specializes in creating and deploying AI agents and complex workflows through a versatile GUI-based approach.
unstract
-

Persona

langflow
-
unstract
-

Runtime

langflow
-
unstract
-

License

langflow
MIT
unstract
AGPL-3.0

Last pushed

langflow
Jul 11, 2026
unstract
Jul 11, 2026

Categories

langflow
AI Agents, Inference & Serving
unstract
AI Agents, LLM Frameworks, Inference & Serving

Trust and health

Open issues (now)

langflow
975
unstract
84

Security scan

langflow
No criticals
unstract
No MCP manifest

Full report

langflow
Trust report
unstract
Trust report

Choose langflow if…

  • License: langflow is MIT, unstract is AGPL-3.0.
  • Tags unique to langflow: multiagent, agents, python, large-language-models.
  • - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge.

When NOT to use langflow

  • - For developers preferring a code-first approach who find GUI interfaces restrictive for customization and workflow.
  • - When the project does not align with or leverage the specific topics of focus such as ChatGPT, multi-agent systems, or requires integration with platforms that Langflow's graphical interface cannot旖

Choose unstract if…

  • License: unstract is AGPL-3.0, langflow is MIT.
  • Tags unique to unstract: mcp-server, data-engineering, llm, json-extraction.
  • Also covers LLM Frameworks.

When NOT to use unstract

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: langflow 152k · unstract 6.7k (synced Jul 11, 2026).

Common questions

What is the difference between langflow and unstract?
langflow: Langflow is a powerful tool for building and deploying AI-powered agents and workflows.. unstract: LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows. See the comparison table for live GitHub stats and shared categories.
When should I choose langflow over unstract?
Choose langflow over unstract when License: langflow is MIT, unstract is AGPL-3.0; Tags unique to langflow: multiagent, agents, python, large-language-models; - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge.
When should I choose unstract over langflow?
Choose unstract over langflow when License: unstract is AGPL-3.0, langflow is MIT; Tags unique to unstract: mcp-server, data-engineering, llm, json-extraction; Also covers LLM Frameworks.
When should I avoid langflow?
- For developers preferring a code-first approach who find GUI interfaces restrictive for customization and workflow. - When the project does not align with or leverage the specific topics of focus such as ChatGPT, multi-agent systems, or requires integration with platforms that Langflow's graphical interface cannot旖
When should I avoid unstract?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Is langflow or unstract more popular on GitHub?
langflow has more GitHub stars (151,697 vs 6,696). Stars measure visibility, not whether either tool fits your constraints.
Are langflow and unstract open source?
Yes - both are open-source projects on GitHub (langflow: MIT, unstract: AGPL-3.0).
Where can I find alternatives to langflow or unstract?
GraphCanon lists graph-backed alternatives at langflow alternatives and unstract alternatives (langflow markdown twin, unstract 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 unstract?
langflow: Very active. unstract: 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 unstract?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langflow trust report; unstract trust report.