--- title: "llama-github vs langflow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jetxu-llm-llama-github-vs-langflow-ai-langflow" tools: ["jetxu-llm-llama-github", "langflow-ai-langflow"] --- # llama-github vs langflow *GraphCanon updated Jul 11, 2026* ## Verdict Pick llama-github when license: llama-github is Apache-2.0, langflow is MIT; pick langflow when license: langflow is MIT, llama-github is Apache-2.0. [llama-github](https://pypi.org/project/llama-github/) reports 295 GitHub stars, 23 forks, and 10 open issues, last pushed Mar 29, 2026. [langflow](http://www.langflow.org) has 152k stars, 9.7k forks, and 975 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [llama-github's repository](https://github.com/JetXu-LLM/llama-github) and [langflow's repository](https://github.com/langflow-ai/langflow). | | [llama-github](/tools/jetxu-llm-llama-github.md) | [langflow](/tools/langflow-ai-langflow.md) | | --- | --- | --- | | Tagline | Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LL | Langflow is a powerful tool for building and deploying AI-powered agents and workflows. | | Stars | 295 | 151,697 | | Forks | 23 | 9,654 | | Open issues | 10 | 975 | | 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 | Apache-2.0 | MIT | | Categories | LLM Frameworks, AI Agents, Inference & Serving | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [llama-github](/tools/jetxu-llm-llama-github.md) | [langflow](/tools/langflow-ai-langflow.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 104d | 0d | | Open issues (now) | 10 | 975 | | Owner type | User | Organization | | Security scan | 127 low (127 low) | No criticals | | Full report | [trust report](/tools/jetxu-llm-llama-github/trust.md) | [trust report](/tools/langflow-ai-langflow/trust.md) | ## Shared compatibility - **Python**: [llama-github](/tools/jetxu-llm-llama-github.md) - Python runtime; [langflow](/tools/langflow-ai-langflow.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 llama-github if… - License: llama-github is Apache-2.0, langflow is MIT. - Tags unique to llama-github: github, ai-code-generator, jinaai, github-api. - Also covers LLM Frameworks. ### Choose langflow if… - License: langflow is MIT, llama-github is Apache-2.0. - 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 llama-github - Last GitHub push was 105 days ago (slowing maintenance, Mar 29, 2026). Validate activity before betting a new project on llama-github. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - 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. ## 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 ## Common questions ### What is the difference between llama-github and langflow? llama-github: Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LL. langflow: Langflow is a powerful tool for building and deploying AI-powered agents and workflows.. See the comparison table for live GitHub stats and shared categories. ### When should I choose llama-github over langflow? Choose llama-github over langflow when License: llama-github is Apache-2.0, langflow is MIT; Tags unique to llama-github: github, ai-code-generator, jinaai, github-api; Also covers LLM Frameworks. ### When should I choose langflow over llama-github? Choose langflow over llama-github when License: langflow is MIT, llama-github is Apache-2.0; 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 avoid llama-github? Last GitHub push was 105 days ago (slowing maintenance, Mar 29, 2026). Validate activity before betting a new project on llama-github. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. 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. ### 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 ### Is llama-github or langflow more popular on GitHub? langflow has more GitHub stars (151,697 vs 295). Stars measure visibility, not whether either tool fits your constraints. ### Are llama-github and langflow open source? Yes - both are open-source projects on GitHub (llama-github: Apache-2.0, langflow: MIT). ### Where can I find alternatives to llama-github or langflow? GraphCanon lists graph-backed alternatives at [llama-github alternatives](/tools/jetxu-llm-llama-github/alternatives) and [langflow alternatives](/tools/langflow-ai-langflow/alternatives) ([llama-github markdown twin](/tools/jetxu-llm-llama-github/alternatives.md), [langflow markdown twin](/tools/langflow-ai-langflow/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/jetxu-llm-llama-github-vs-langflow-ai-langflow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, llama-github or langflow? llama-github: Slowing. langflow: 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 llama-github and langflow? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llama-github trust report](/tools/jetxu-llm-llama-github/trust); [langflow trust report](/tools/langflow-ai-langflow/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jetxu-llm-llama-github`](/api/graphcanon/graph?tool=jetxu-llm-llama-github) - 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/_