--- title: "prompttools vs moby" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hegelai-prompttools-vs-moby-moby" tools: ["hegelai-prompttools", "moby-moby"] --- # prompttools vs moby *GraphCanon updated Jul 12, 2026* ## Verdict Pick prompttools when prompttools is primarily Python; moby is Go; pick moby when moby is primarily Go; prompttools is Python. [prompttools](http://prompttools.readthedocs.io) reports 3.0k GitHub stars, 255 forks, and 41 open issues, last pushed Feb 11, 2026. [moby](https://mobyproject.org/) has 72k stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [prompttools's repository](https://github.com/hegelai/prompttools) and [moby's repository](https://github.com/moby/moby). | | [prompttools](/tools/hegelai-prompttools.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Tagline | Open-source tools for prompt testing and experimentation | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | | Stars | 3,041 | 71,899 | | Forks | 255 | 19,126 | | Open issues | 41 | 3,821 | | Language | Python | Go | | Adopt for | Prompttools aims to support developers in the testing and experimentation of prompts for language models as well as integrating vector databases through Python utilities. | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Developer Tools, LLM Frameworks, Vector Databases | Developer Tools, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [prompttools](/tools/hegelai-prompttools.md) | [moby](/tools/moby-moby.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 150d | 1d | | Open issues (now) | 41 | 3.8k | | Security scan | 2 low (2 low) | No criticals | | Full report | [trust report](/tools/hegelai-prompttools/trust.md) | [trust report](/tools/moby-moby/trust.md) | ## Decision facts: prompttools - **Hosting:** self hosted - **Pricing:** freemium - PromptsTools is open-source under the Apache-2.0 license, making it free to use but with no official support available. - **Adopt for:** Prompttools aims to support developers in the testing and experimentation of prompts for language models as well as integrating vector databases through Python utilities. ## Choose when ### Choose prompttools if… - prompttools is primarily Python; moby is Go. - Pricing: PromptsTools is open-source under the Apache-2.0 license, making it free to use but with no official support available.. - Tags unique to prompttools: deep-learning, embeddings, large-language-models, llms. - Also covers Vector Databases. - Prompttools aims to support developers in the testing and experimentation of prompts for language models as well as integrating vector databases through Python utilities. ### Choose moby if… - moby is primarily Go; prompttools is Python. - Tags unique to moby: containers, docker, go, golang. - Also covers Inference & Serving. - moby ships Docker support for self-hosted deployment. ## When NOT to use prompttools - Last GitHub push was 151 days ago (slowing maintenance, Feb 11, 2026). Validate activity before betting a new project on prompttools. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## When NOT to use moby - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - 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 prompttools and moby? prompttools: Open-source tools for prompt testing and experimentation. moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. See the comparison table for live GitHub stats and shared categories. ### When should I choose prompttools over moby? Choose prompttools over moby when prompttools is primarily Python; moby is Go; Pricing: PromptsTools is open-source under the Apache-2.0 license, making it free to use but with no official support available.; Tags unique to prompttools: deep-learning, embeddings, large-language-models, llms; Also covers Vector Databases; Prompttools aims to support developers in the testing and experimentation of prompts for language models as well as integrating vector databases through Python utilities. ### When should I choose moby over prompttools? Choose moby over prompttools when moby is primarily Go; prompttools is Python; Tags unique to moby: containers, docker, go, golang; Also covers Inference & Serving; moby ships Docker support for self-hosted deployment. ### When should I avoid prompttools? Last GitHub push was 151 days ago (slowing maintenance, Feb 11, 2026). Validate activity before betting a new project on prompttools. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### When should I avoid moby? Developer Tools: A gateway is overkill when you're pinned to a single provider and model. 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 prompttools or moby more popular on GitHub? moby has more GitHub stars (71,899 vs 3,041). Stars measure visibility, not whether either tool fits your constraints. ### Are prompttools and moby open source? Yes - both are open-source projects on GitHub (prompttools: Apache-2.0, moby: Apache-2.0). ### Where can I find alternatives to prompttools or moby? GraphCanon lists graph-backed alternatives at [prompttools alternatives](/tools/hegelai-prompttools/alternatives) and [moby alternatives](/tools/moby-moby/alternatives) ([prompttools markdown twin](/tools/hegelai-prompttools/alternatives.md), [moby markdown twin](/tools/moby-moby/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/hegelai-prompttools-vs-moby-moby.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, prompttools or moby? prompttools: Slowing. moby: 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 prompttools and moby? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [prompttools trust report](/tools/hegelai-prompttools/trust); [moby trust report](/tools/moby-moby/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hegelai-prompttools`](/api/graphcanon/graph?tool=hegelai-prompttools) - 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/_