--- title: "langflow vs langchain-production-starter" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langflow-ai-langflow-vs-steamship-core-langchain-production-starter" tools: ["langflow-ai-langflow", "steamship-core-langchain-production-starter"] --- # langflow vs langchain-production-starter *GraphCanon updated Jul 12, 2026* ## Verdict Pick langflow when tags unique to langflow: agents, chatgpt, generative-ai, large-language-models; pick langchain-production-starter when tags unique to langchain-production-starter: chatbot, gpt4, langchain, langchain-python. [langflow](http://www.langflow.org) reports 152k GitHub stars, 9.7k forks, and 975 open issues, last pushed Jul 11, 2026. [langchain-production-starter](https://github.com/steamship-core/langchain-production-starter) has 477 stars, 560 forks, and 4 open issues, last pushed Jul 27, 2023. Figures are from public GitHub metadata via [langflow's repository](https://github.com/langflow-ai/langflow) and [langchain-production-starter's repository](https://github.com/steamship-core/langchain-production-starter). | | [langflow](/tools/langflow-ai-langflow.md) | [langchain-production-starter](/tools/steamship-core-langchain-production-starter.md) | | --- | --- | --- | | Tagline | Langflow is a powerful tool for building and deploying AI-powered agents and workflows. | Deploy LangChain Agents and connect them to Telegram | | Stars | 151,697 | 477 | | Forks | 9,654 | 560 | | Open issues | 975 | 4 | | Language | Python | Python | | Adopt for | Langflow specializes in creating and deploying AI agents and complex workflows through a versatile GUI-based approach. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | - | | Categories | AI Agents, Inference & Serving | AI Agents, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langflow](/tools/langflow-ai-langflow.md) | [langchain-production-starter](/tools/steamship-core-langchain-production-starter.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 1079d | | Open issues (now) | 975 | 4 | | Security scan | No criticals | 38 low (38 low) | | Full report | [trust report](/tools/langflow-ai-langflow/trust.md) | [trust report](/tools/steamship-core-langchain-production-starter/trust.md) | ## Shared compatibility - **Python**: [langflow](/tools/langflow-ai-langflow.md) - Python runtime; [langchain-production-starter](/tools/steamship-core-langchain-production-starter.md) - Python runtime ## Decision facts: langflow - **Adopt for:** Langflow specializes in creating and deploying AI agents and complex workflows through a versatile GUI-based approach. ## Choose when ### Choose langflow if… - 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. - More GitHub stars (152k vs 477) - visibility, not fit. ### Choose langchain-production-starter if… - Tags unique to langchain-production-starter: chatbot, gpt4, langchain, langchain-python. - Also covers LLM Frameworks. - Leaner open-issue backlog (4). ## 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 ## When NOT to use langchain-production-starter - Last GitHub push was 1080 days ago (dormant maintenance, Jul 27, 2023). Validate activity before betting a new project on langchain-production-starter. - 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. ## Common questions ### What is the difference between langflow and langchain-production-starter? langflow: Langflow is a powerful tool for building and deploying AI-powered agents and workflows.. langchain-production-starter: Deploy LangChain Agents and connect them to Telegram. See the comparison table for live GitHub stats and shared categories. ### When should I choose langflow over langchain-production-starter? Choose langflow over langchain-production-starter when 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; More GitHub stars (152k vs 477) - visibility, not fit. ### When should I choose langchain-production-starter over langflow? Choose langchain-production-starter over langflow when Tags unique to langchain-production-starter: chatbot, gpt4, langchain, langchain-python; Also covers LLM Frameworks; Leaner open-issue backlog (4). ### 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 langchain-production-starter? Last GitHub push was 1080 days ago (dormant maintenance, Jul 27, 2023). Validate activity before betting a new project on langchain-production-starter. 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 langchain-production-starter more popular on GitHub? langflow has more GitHub stars (151,697 vs 477). Stars measure visibility, not whether either tool fits your constraints. ### Are langflow and langchain-production-starter open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to langflow or langchain-production-starter? GraphCanon lists graph-backed alternatives at [langflow alternatives](/tools/langflow-ai-langflow/alternatives) and [langchain-production-starter alternatives](/tools/steamship-core-langchain-production-starter/alternatives) ([langflow markdown twin](/tools/langflow-ai-langflow/alternatives.md), [langchain-production-starter markdown twin](/tools/steamship-core-langchain-production-starter/alternatives.md)), 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](/compare/langflow-ai-langflow-vs-steamship-core-langchain-production-starter.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langflow or langchain-production-starter? langflow: Very active. langchain-production-starter: Dormant. 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 langchain-production-starter? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langflow trust report](/tools/langflow-ai-langflow/trust); [langchain-production-starter trust report](/tools/steamship-core-langchain-production-starter/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langflow-ai-langflow`](/api/graphcanon/graph?tool=langflow-ai-langflow) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_