--- title: "moby vs nucliadb" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/moby-moby-vs-nuclia-nucliadb" tools: ["moby-moby", "nuclia-nucliadb"] --- # moby vs nucliadb *GraphCanon updated Jul 11, 2026* ## Verdict Pick moby when moby is primarily Go; nucliadb is Python; pick nucliadb when nucliadb 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. [nucliadb](https://docs.nuclia.dev/docs/management/nucliadb/intro) has 717 stars, 58 forks, and 13 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [moby's repository](https://github.com/moby/moby) and [nucliadb's repository](https://github.com/nuclia/nucliadb). | | [moby](/tools/moby-moby.md) | [nucliadb](/tools/nuclia-nucliadb.md) | | --- | --- | --- | | Tagline | The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems | NucliaDB, The AI Search database for RAG | | Stars | 71,899 | 717 | | Forks | 19,126 | 58 | | Open issues | 3,821 | 13 | | Language | Go | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | LLM Frameworks, Developer Tools, Inference & Serving | LLM Frameworks, Vector Databases, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [moby](/tools/moby-moby.md) | [nucliadb](/tools/nuclia-nucliadb.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 3.8k | 13 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/moby-moby/trust.md) | [trust report](/tools/nuclia-nucliadb/trust.md) | ## Choose when ### Choose moby if… - moby is primarily Go; nucliadb is Python. - License: moby is Apache-2.0, nucliadb is Other. - Tags unique to moby: go, docker, golang, containers. - Also covers Inference & Serving. - moby ships Docker support for self-hosted deployment. ### Choose nucliadb if… - nucliadb is primarily Python; moby is Go. - License: nucliadb is Other, moby is Apache-2.0. - Tags unique to nucliadb: machine-learning, python, rust, ai-powered-search. - Also covers Vector Databases. ## When NOT to use moby - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - 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. ## When NOT to use nucliadb - 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. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between moby and nucliadb? moby: The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems. nucliadb: NucliaDB, The AI Search database for RAG. See the comparison table for live GitHub stats and shared categories. ### When should I choose moby over nucliadb? Choose moby over nucliadb when moby is primarily Go; nucliadb is Python; License: moby is Apache-2.0, nucliadb is Other; Tags unique to moby: go, docker, golang, containers; Also covers Inference & Serving; moby ships Docker support for self-hosted deployment. ### When should I choose nucliadb over moby? Choose nucliadb over moby when nucliadb is primarily Python; moby is Go; License: nucliadb is Other, moby is Apache-2.0; Tags unique to nucliadb: machine-learning, python, rust, ai-powered-search; Also covers Vector Databases. ### When should I avoid moby? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. 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. ### When should I avoid nucliadb? 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. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is moby or nucliadb more popular on GitHub? moby has more GitHub stars (71,899 vs 717). Stars measure visibility, not whether either tool fits your constraints. ### Are moby and nucliadb open source? Yes - both are open-source projects on GitHub (moby: Apache-2.0, nucliadb: Other). ### Where can I find alternatives to moby or nucliadb? GraphCanon lists graph-backed alternatives at [moby alternatives](/tools/moby-moby/alternatives) and [nucliadb alternatives](/tools/nuclia-nucliadb/alternatives) ([moby markdown twin](/tools/moby-moby/alternatives.md), [nucliadb markdown twin](/tools/nuclia-nucliadb/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-nuclia-nucliadb.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, moby or nucliadb? moby: Very active. nucliadb: 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 moby and nucliadb? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [moby trust report](/tools/moby-moby/trust); [nucliadb trust report](/tools/nuclia-nucliadb/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/_