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Comparison

langflow vs blast

Verdict

Pick langflow when tags unique to langflow: multiagent, agents, large-language-models, generative-ai; pick blast when tags unique to blast: browser-automation, llm-inference, ai-agents.

Markdown twin · langflow alternatives · blast alternatives

GraphCanon updated today

langflow logo

langflow

langflow-ai/langflow

★ 152kpushed Jul 11, 2026
vs
blast logo

blast

stanford-mast/blast

★ 776pushed May 29, 2026

Trust & integrity

Signallangflowblast
Maintenance
Very active (0d since push)
As of today · github_public_v1
Steady (42d 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
langflow trust reportblast trust reportTrust methodology

Tagline

langflow
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
blast
Open-source VMs-as-a-service

Stars

langflow
152k
blast
776

Forks

langflow
9.7k
blast
50

Open issues

langflow
975
blast
6

Language

langflow
Python
blast
Python

Adopt for

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

Persona

langflow
-
blast
-

Runtime

langflow
-
blast
-

License

langflow
MIT
blast
MIT

Last pushed

langflow
Jul 11, 2026
blast
May 29, 2026

Categories

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

Trust and health

Maintenance

langflow
Very active (96%)
blast
Steady (60%)

Days since push

langflow
0d
blast
42d

Open issues (now)

langflow
975
blast
6

Security scan

langflow
No criticals
blast
No lockfile

Full report

langflow
Trust report
blast
Trust report

Choose langflow if…

  • Tags unique to langflow: multiagent, agents, large-language-models, generative-ai.
  • - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge.
  • More GitHub stars (152k vs 776) - visibility, not fit.

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
GitHubDetails

Choose blast if…

  • Tags unique to blast: browser-automation, llm-inference, ai-agents.
  • Also covers LLM Frameworks.
  • Leaner open-issue backlog (6).

When NOT to use blast

  • 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.
GitHubDetails

Explore

langflow trust report →blast trust report →AI Agents category →Inference & Serving category →LLM Frameworks category →All comparisonsStack workflowsTrending tools

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 · blast 776 (synced Jul 11, 2026).

Common questions

What is the difference between langflow and blast?
langflow: Langflow is a powerful tool for building and deploying AI-powered agents and workflows.. blast: Open-source VMs-as-a-service. See the comparison table for live GitHub stats and shared categories.
When should I choose langflow over blast?
Choose langflow over blast when Tags unique to langflow: multiagent, agents, large-language-models, generative-ai; - When you need an intuitive graphical interface to manage the creation of AI agents and workflows without deep coding knowledge; More GitHub stars (152k vs 776) - visibility, not fit.
When should I choose blast over langflow?
Choose blast over langflow when Tags unique to blast: browser-automation, llm-inference, ai-agents; Also covers LLM Frameworks; Leaner open-issue backlog (6).
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 blast?
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 blast more popular on GitHub?
langflow has more GitHub stars (151,697 vs 776). Stars measure visibility, not whether either tool fits your constraints.
Are langflow and blast open source?
Yes - both are open-source projects on GitHub (langflow: MIT, blast: MIT).
Where can I find alternatives to langflow or blast?
GraphCanon lists graph-backed alternatives at langflow alternatives and blast alternatives (langflow markdown twin, blast 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 blast?
langflow: Very active. blast: Steady. 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 blast?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langflow trust report; blast trust report.