--- title: "llm-workflow-engine vs promptmage" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/llm-workflow-engine-llm-workflow-engine-vs-tsterbak-promptmage" tools: ["llm-workflow-engine-llm-workflow-engine", "tsterbak-promptmage"] --- # llm-workflow-engine vs promptmage *GraphCanon updated Aug 8, 2026* ## Verdict Pick llm-workflow-engine if critical Decision Factors for 'llm-workflow-engine'; pick promptmage if promptmage is an open-source Python tool simplifying LLM workflow creation and management. [llm-workflow-engine](https://github.com/llm-workflow-engine/llm-workflow-engine) reports 3.7k GitHub stars, 468 forks, and 3 open issues, last pushed Jul 15, 2026. [promptmage](https://promptmage.io) has 115 stars, 9 forks, and 8 open issues, last pushed Oct 21, 2024. Figures are from public GitHub metadata via [llm-workflow-engine's repository](https://github.com/llm-workflow-engine/llm-workflow-engine) and [promptmage's repository](https://github.com/tsterbak/promptmage). | | [llm-workflow-engine](/tools/llm-workflow-engine-llm-workflow-engine.md) | [promptmage](/tools/tsterbak-promptmage.md) | | --- | --- | --- | | Tagline | Power CLI and Workflow manager for LLMs (core package) | Simplifies LLM workflow creation and management | | Stars | 3,720 | 115 | | Forks | 468 | 9 | | Open issues | 3 | 8 | | Language | Python | Python | | Adopt for | Critical Decision Factors for 'llm-workflow-engine' | Promptmage is an open-source Python tool simplifying LLM workflow creation and management. | | Persona | - | - | | Runtime | - | - | | License | MIT-licensed, offering flexibility under non-restrictive open-source terms. | MIT License, providing flexibility to use, modify, and distribute Promptmage code freely as long as original licensing terms are preserved and acknowledged. | | Categories | Developer Tools, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [llm-workflow-engine](/tools/llm-workflow-engine-llm-workflow-engine.md) | [promptmage](/tools/tsterbak-promptmage.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 23d | 649d | | Open issues (now) | 3 | 8 | | Owner type | Organization | User | | Full report | [trust report](/tools/llm-workflow-engine-llm-workflow-engine/trust.md) | [trust report](/tools/tsterbak-promptmage/trust.md) | ## Decision facts: llm-workflow-engine - **Requirements:** Built for a Python environment which may not fully cater to workflows outside of this language. - **Adopt for:** Critical Decision Factors for 'llm-workflow-engine' - **License detail:** MIT-licensed, offering flexibility under non-restrictive open-source terms. ## Decision facts: promptmage - **Requirements:** Requires Docker - **Adopt for:** Promptmage is an open-source Python tool simplifying LLM workflow creation and management. - **License detail:** MIT License, providing flexibility to use, modify, and distribute Promptmage code freely as long as original licensing terms are preserved and acknowledged. ## Choose when ### Choose llm-workflow-engine if… - Requirements: Built for a Python environment which may not fully cater to workflows outside of this language.. - Tags unique to llm-workflow-engine: chatbot, chatgpt, gpt-3, gpt3. - llm-workflow-engine ships Docker support for self-hosted deployment. - When developing workflows around Large Language Models (LLMs), particularly if your projects are Python-based, to streamline model integration and management via CLI. ### Choose promptmage if… - Requirements: Requires Docker. - Tags unique to promptmage: ai, nlp-library, nlp-machine-learning, prompt-engineering. - When you require a streamlined process for crafting and overseeing large language model workflows specifically with Python. ## When NOT to use llm-workflow-engine - Avoid using llm-workflow-engine if you need deep integrations with proprietary systems that are incompatible with MIT licensing terms and conditions. - Do not use this tool if your primary development environment is not Python-based, as the effectiveness of the CLI and workflow manager might be limited without Python support. ## When NOT to use promptmage - If your preferred programming environment is not Python or does not support the same level of workflow automation offered by this tool. - When there is a need for a more bespoke solution that cannot leverage the pre-defined structures and capabilities of Promptmage's framework. ## Common questions ### What is the difference between llm-workflow-engine and promptmage? llm-workflow-engine: Power CLI and Workflow manager for LLMs (core package). promptmage: Simplifies LLM workflow creation and management. See the comparison table for live GitHub stats and shared categories. ### When should I choose llm-workflow-engine over promptmage? Choose llm-workflow-engine over promptmage when Requirements: Built for a Python environment which may not fully cater to workflows outside of this language.; Tags unique to llm-workflow-engine: chatbot, chatgpt, gpt-3, gpt3; llm-workflow-engine ships Docker support for self-hosted deployment; When developing workflows around Large Language Models (LLMs), particularly if your projects are Python-based, to streamline model integration and management via CLI. ### When should I choose promptmage over llm-workflow-engine? Choose promptmage over llm-workflow-engine when Requirements: Requires Docker; Tags unique to promptmage: ai, nlp-library, nlp-machine-learning, prompt-engineering; When you require a streamlined process for crafting and overseeing large language model workflows specifically with Python. ### When should I avoid llm-workflow-engine? Avoid using llm-workflow-engine if you need deep integrations with proprietary systems that are incompatible with MIT licensing terms and conditions. Do not use this tool if your primary development environment is not Python-based, as the effectiveness of the CLI and workflow manager might be limited without Python support. ### When should I avoid promptmage? If your preferred programming environment is not Python or does not support the same level of workflow automation offered by this tool. When there is a need for a more bespoke solution that cannot leverage the pre-defined structures and capabilities of Promptmage's framework. ### Is llm-workflow-engine or promptmage more popular on GitHub? llm-workflow-engine has more GitHub stars (3,720 vs 115). Stars measure visibility, not whether either tool fits your constraints. ### Are llm-workflow-engine and promptmage open source? Yes - both are open-source projects on GitHub (llm-workflow-engine: MIT, promptmage: MIT). ### Where can I find alternatives to llm-workflow-engine or promptmage? GraphCanon lists graph-backed alternatives at [llm-workflow-engine alternatives](/tools/llm-workflow-engine-llm-workflow-engine/alternatives) and [promptmage alternatives](/tools/tsterbak-promptmage/alternatives) ([llm-workflow-engine markdown twin](/tools/llm-workflow-engine-llm-workflow-engine/alternatives.md), [promptmage markdown twin](/tools/tsterbak-promptmage/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/llm-workflow-engine-llm-workflow-engine-vs-tsterbak-promptmage.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, llm-workflow-engine or promptmage? llm-workflow-engine: Active. promptmage: 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 llm-workflow-engine and promptmage? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llm-workflow-engine trust report](/tools/llm-workflow-engine-llm-workflow-engine/trust); [promptmage trust report](/tools/tsterbak-promptmage/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=llm-workflow-engine-llm-workflow-engine`](/api/graphcanon/graph?tool=llm-workflow-engine-llm-workflow-engine) - 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/_