Home/Compare/langflow vs PurpleLlama

Comparison

langflow vs PurpleLlama

Verdict

Pick langflow when license: langflow is MIT, PurpleLlama is Other; pick PurpleLlama when license: PurpleLlama is Other, langflow is MIT.

Markdown twin · langflow alternatives · PurpleLlama alternatives

GraphCanon updated today

langflow logo

langflow

langflow-ai/langflow

152kpushed Jul 11, 2026
vs
PurpleLlama logo

PurpleLlama

meta-llama/PurpleLlama

4.3kpushed Jul 1, 2026

Trust & integrity

SignallangflowPurpleLlama
Maintenance
Very active (0d since push)
As of today · github_public_v1
Active (10d 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 lockfile
As of today · none

Tagline

langflow
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
PurpleLlama
Set of tools to assess and improve LLM security.

Stars

langflow
152k
PurpleLlama
4.3k

Forks

langflow
9.7k
PurpleLlama
747

Open issues

langflow
975
PurpleLlama
75

Language

langflow
Python
PurpleLlama
Python

Adopt for

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

Persona

langflow
-
PurpleLlama
-

Runtime

langflow
-
PurpleLlama
-

License

langflow
MIT
PurpleLlama
Other

Last pushed

langflow
Jul 11, 2026
PurpleLlama
Jul 1, 2026

Categories

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

Trust and health

Maintenance

langflow
Very active (96%)
PurpleLlama
Active (82%)

Days since push

langflow
0d
PurpleLlama
10d

Open issues (now)

langflow
975
PurpleLlama
75

Security scan

langflow
No criticals
PurpleLlama
No lockfile

Full report

langflow
Trust report
PurpleLlama
Trust report

Choose langflow if…

  • License: langflow is MIT, PurpleLlama is Other.
  • Tags unique to langflow: agents, chatgpt, generative-ai, 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 PurpleLlama if…

  • License: PurpleLlama is Other, langflow is MIT.
  • Also covers LLM Frameworks.
  • Leaner open-issue backlog (75).

When NOT to use PurpleLlama

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

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 · PurpleLlama 4.3k (synced Jul 11, 2026).

Common questions

What is the difference between langflow and PurpleLlama?
langflow: Langflow is a powerful tool for building and deploying AI-powered agents and workflows.. PurpleLlama: Set of tools to assess and improve LLM security.. See the comparison table for live GitHub stats and shared categories.
When should I choose langflow over PurpleLlama?
Choose langflow over PurpleLlama when License: langflow is MIT, PurpleLlama is Other; Tags unique to langflow: agents, chatgpt, generative-ai, 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 PurpleLlama over langflow?
Choose PurpleLlama over langflow when License: PurpleLlama is Other, langflow is MIT; Also covers LLM Frameworks; Leaner open-issue backlog (75).
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 PurpleLlama?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is langflow or PurpleLlama more popular on GitHub?
langflow has more GitHub stars (151,697 vs 4,269). Stars measure visibility, not whether either tool fits your constraints.
Are langflow and PurpleLlama open source?
Yes - both are open-source projects on GitHub (langflow: MIT, PurpleLlama: Other).
Where can I find alternatives to langflow or PurpleLlama?
GraphCanon lists graph-backed alternatives at langflow alternatives and PurpleLlama alternatives (langflow markdown twin, PurpleLlama 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 PurpleLlama?
langflow: Very active. PurpleLlama: 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 PurpleLlama?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langflow trust report; PurpleLlama trust report.