--- title: "moby vs plexiglass" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-safellama-plexiglass" tools: ["moby-moby", "safellama-plexiglass"] --- # moby vs plexiglass *GraphCanon updated Jul 11, 2026* ## Verdict Pick moby when moby is primarily Go; plexiglass is Python; pick plexiglass when plexiglass is primarily Python; moby is Go. [moby](https://mobyproject.org/) reports 72k GitHub stars, 19k forks, and 3.8k open issues, last pushed Jul 10, 2026. [plexiglass](https://github.com/safellama/plexiglass) has 153 stars, 18 forks, and 0 open issues, last pushed Feb 4, 2026. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [plexiglass's repository](https://github.com/safellama/plexiglass). | | [moby](/tools/moby-moby.md) | [plexiglass](/tools/safellama-plexiglass.md) | | --- | --- | --- | | Tagline | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs). | | Stars | 71,899 | 153 | | Forks | 19,126 | 18 | | Open issues | 3,821 | 0 | | Language | Go | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Developer Tools, Inference & Serving, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [moby](/tools/moby-moby.md) | [plexiglass](/tools/safellama-plexiglass.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 1d | 157d | | Open issues (now) | 3.8k | 0 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/safellama-plexiglass/trust.md) | ## Choose when ### Choose moby if… - moby is primarily Go; plexiglass is Python. - Tags unique to moby: containers, docker, go, golang. - Also covers Inference & Serving. - moby ships Docker support for self-hosted deployment. ### Choose plexiglass if… - plexiglass is primarily Python; moby is Go. - Tags unique to plexiglass: adversarial-attacks, adversarial-machine-learning, cybersecurity, deep-learning. - Leaner open-issue backlog (0). ## 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. ## When NOT to use plexiglass - Last GitHub push was 157 days ago (slowing maintenance, Feb 4, 2026). Validate activity before betting a new project on plexiglass. - 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. ## Common questions ### What is the difference between moby and plexiglass? moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. plexiglass: A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).. See the comparison table for live GitHub stats and shared categories. ### When should I choose moby over plexiglass? Choose moby over plexiglass when moby is primarily Go; plexiglass 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 choose plexiglass over moby? Choose plexiglass over moby when plexiglass is primarily Python; moby is Go; Tags unique to plexiglass: adversarial-attacks, adversarial-machine-learning, cybersecurity, deep-learning; Leaner open-issue backlog (0). ### 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. ### When should I avoid plexiglass? Last GitHub push was 157 days ago (slowing maintenance, Feb 4, 2026). Validate activity before betting a new project on plexiglass. 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. ### Is moby or plexiglass more popular on GitHub? moby has more GitHub stars (71,899 vs 153). Stars measure visibility, not whether either tool fits your constraints. ### Are moby and plexiglass open source? Yes - both are open-source projects on GitHub (moby: Apache-2.0, plexiglass: Apache-2.0). ### Where can I find alternatives to moby or plexiglass? GraphCanon lists graph-backed alternatives at [moby alternatives](/tools/moby-moby/alternatives) and [plexiglass alternatives](/tools/safellama-plexiglass/alternatives) ([moby markdown twin](/tools/moby-moby/alternatives.md), [plexiglass markdown twin](/tools/safellama-plexiglass/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/moby-moby-vs-safellama-plexiglass.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, moby or plexiglass? moby: Very active. plexiglass: Slowing. 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 moby and plexiglass? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [moby trust report](/tools/moby-moby/trust); [plexiglass trust report](/tools/safellama-plexiglass/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=moby-moby`](/api/graphcanon/graph?tool=moby-moby) - 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/_