--- title: "langchain-streamlit-template vs langgraph" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hwchase17-langchain-streamlit-template-vs-langchain-ai-langgraph" tools: ["hwchase17-langchain-streamlit-template", "langchain-ai-langgraph"] --- # langchain-streamlit-template vs langgraph *GraphCanon updated Aug 15, 2026* ## Verdict Pick langchain-streamlit-template if decision-critical facts for langchain-streamlit-template; pick langgraph if langGraph is designed as an open-source orchestration framework to build stateful AI agents. It emphasizes durable execution and human-in-the-loop interventions, along with robust memory management capabilities. [langchain-streamlit-template](https://github.com/hwchase17/langchain-streamlit-template) reports 297 GitHub stars, 142 forks, and 3 open issues, last pushed Jan 11, 2025. [langgraph](https://docs.langchain.com/oss/python/langgraph/) has 38k stars, 6.5k forks, and 647 open issues, last pushed Jul 28, 2026. Figures are from public GitHub metadata via [langchain-streamlit-template's repository](https://github.com/hwchase17/langchain-streamlit-template) and [langgraph's repository](https://github.com/langchain-ai/langgraph). | | [langchain-streamlit-template](/tools/hwchase17-langchain-streamlit-template.md) | [langgraph](/tools/langchain-ai-langgraph.md) | | --- | --- | --- | | Tagline | Template for deploying a LangGraph agent on Streamlit | Low-level orchestration framework for building stateful agents. | | Stars | 297 | 38,352 | | Forks | 142 | 6,458 | | Open issues | 3 | 647 | | Language | Python | Python | | Adopt for | Decision-critical facts for langchain-streamlit-template | LangGraph is designed as an open-source orchestration framework to build stateful AI agents. It emphasizes durable execution and human-in-the-loop interventions, along with robust memory management capabilities. | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langchain-streamlit-template](/tools/hwchase17-langchain-streamlit-template.md) | [langgraph](/tools/langchain-ai-langgraph.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 580d | 0d | | Open issues (now) | 3 | 647 | | Stars delta | -1 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/hwchase17-langchain-streamlit-template/trust.md) | [trust report](/tools/langchain-ai-langgraph/trust.md) | ## Shared compatibility - **LangChain**: [langchain-streamlit-template](/tools/hwchase17-langchain-streamlit-template.md) - LangChain integration; [langgraph](/tools/langchain-ai-langgraph.md) - LangChain integration - **LangGraph**: [langchain-streamlit-template](/tools/hwchase17-langchain-streamlit-template.md) - LangGraph integration; [langgraph](/tools/langchain-ai-langgraph.md) - LangGraph integration - **Python**: [langchain-streamlit-template](/tools/hwchase17-langchain-streamlit-template.md) - Python runtime; [langgraph](/tools/langchain-ai-langgraph.md) - Python runtime ## Decision facts: langchain-streamlit-template - **Adopt for:** Decision-critical facts for langchain-streamlit-template ## Decision facts: langgraph - **Pricing:** freemium - LangGraph is available under the MIT license and is free for both personal and commercial use. However, advanced features or services like deployment and debugging might depend on additional paid-for- - **Requirements:** Min 4 GB RAM; Requires Python environment - **Adopt for:** LangGraph is designed as an open-source orchestration framework to build stateful AI agents. It emphasizes durable execution and human-in-the-loop interventions, along with robust memory management capabilities. ## Choose when ### Choose langchain-streamlit-template if… - Tags unique to langchain-streamlit-template: chatbot, deployment template, langgraph, observability. - You need a specific template that is designed for LangGraph agents and Streamlit. - Leaner open-issue backlog (3). ### Choose langgraph if… - Pricing: LangGraph is available under the MIT license and is free for both personal and commercial use. However, advanced features or services like deployment and debugging might depend on additional paid-for-. - Requirements: Min 4 GB RAM; Requires Python environment. - Tags unique to langgraph: agents, ai-agents, enterprise, framework. - When you need a low-level framework that supports the development of long-running, stateful AI agents that require complex memory management. ## When NOT to use langchain-streamlit-template - If you prefer frameworks other than Streamlit for creating web apps, this tool will not be suitable. - This tool is not recommended if you are working on projects that do not require integration with or monitoring through LangGraph agents. ## When NOT to use langgraph - LangGraph is less suitable when you prefer a simpler setup. It demands more initial configuration and lower-level control than other agent-building frameworks such as Deep Agents. - For projects requiring immediate quick-start capabilities, as LangGraph offers foundational support which involves more manual configuration versus quicker-to-prototype tools. ## Common questions ### What is the difference between langchain-streamlit-template and langgraph? langchain-streamlit-template: Template for deploying a LangGraph agent on Streamlit. langgraph: Low-level orchestration framework for building stateful agents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchain-streamlit-template over langgraph? Choose langchain-streamlit-template over langgraph when Tags unique to langchain-streamlit-template: chatbot, deployment template, langgraph, observability; You need a specific template that is designed for LangGraph agents and Streamlit; Leaner open-issue backlog (3). ### When should I choose langgraph over langchain-streamlit-template? Choose langgraph over langchain-streamlit-template when Pricing: LangGraph is available under the MIT license and is free for both personal and commercial use. However, advanced features or services like deployment and debugging might depend on additional paid-for-; Requirements: Min 4 GB RAM; Requires Python environment; Tags unique to langgraph: agents, ai-agents, enterprise, framework; When you need a low-level framework that supports the development of long-running, stateful AI agents that require complex memory management. ### When should I avoid langchain-streamlit-template? If you prefer frameworks other than Streamlit for creating web apps, this tool will not be suitable. This tool is not recommended if you are working on projects that do not require integration with or monitoring through LangGraph agents. ### When should I avoid langgraph? LangGraph is less suitable when you prefer a simpler setup. It demands more initial configuration and lower-level control than other agent-building frameworks such as Deep Agents. For projects requiring immediate quick-start capabilities, as LangGraph offers foundational support which involves more manual configuration versus quicker-to-prototype tools. ### Is langchain-streamlit-template or langgraph more popular on GitHub? langgraph has more GitHub stars (38,352 vs 297). Stars measure visibility, not whether either tool fits your constraints. ### Are langchain-streamlit-template and langgraph open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to langchain-streamlit-template or langgraph? GraphCanon lists graph-backed alternatives at [langchain-streamlit-template alternatives](/tools/hwchase17-langchain-streamlit-template/alternatives) and [langgraph alternatives](/tools/langchain-ai-langgraph/alternatives) ([langchain-streamlit-template markdown twin](/tools/hwchase17-langchain-streamlit-template/alternatives.md), [langgraph markdown twin](/tools/langchain-ai-langgraph/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/hwchase17-langchain-streamlit-template-vs-langchain-ai-langgraph.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langchain-streamlit-template or langgraph? langchain-streamlit-template: Dormant. langgraph: 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 langchain-streamlit-template and langgraph? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langchain-streamlit-template trust report](/tools/hwchase17-langchain-streamlit-template/trust); [langgraph trust report](/tools/langchain-ai-langgraph/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hwchase17-langchain-streamlit-template`](/api/graphcanon/graph?tool=hwchase17-langchain-streamlit-template) - 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/_