--- title: "awesome-production-machine-learning vs voy" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ethicalml-awesome-production-machine-learning-vs-tantaraio-voy" tools: ["ethicalml-awesome-production-machine-learning", "tantaraio-voy"] --- # awesome-production-machine-learning vs voy *GraphCanon updated Jul 11, 2026* ## Verdict Pick awesome-production-machine-learning when license: awesome-production-machine-learning is MIT, voy is Apache-2.0; pick voy when license: voy is Apache-2.0, awesome-production-machine-learning is MIT. [awesome-production-machine-learning](https://ethicalml.github.io/awesome-production-machine-learning) reports 21k GitHub stars, 2.6k forks, and 32 open issues, last pushed Jul 3, 2026. [voy](https://www.npmjs.com/package/voy-search) has 1.1k stars, 39 forks, and 22 open issues, last pushed Sep 20, 2023. Figures are from public GitHub metadata via [awesome-production-machine-learning's repository](https://github.com/EthicalML/awesome-production-machine-learning) and [voy's repository](https://github.com/tantaraio/voy). | | [awesome-production-machine-learning](/tools/ethicalml-awesome-production-machine-learning.md) | [voy](/tools/tantaraio-voy.md) | | --- | --- | --- | | Tagline | A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning | 🕸️🦀 A WASM vector similarity search written in Rust | | Stars | 20,719 | 1,063 | | Forks | 2,585 | 39 | | Open issues | 32 | 22 | | Language | - | Rust | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, LLM Frameworks, Vector Databases | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-production-machine-learning](/tools/ethicalml-awesome-production-machine-learning.md) | [voy](/tools/tantaraio-voy.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 8d | 1024d | | Open issues (now) | 32 | 22 | | Full report | [trust report](/tools/ethicalml-awesome-production-machine-learning/trust.md) | [trust report](/tools/tantaraio-voy/trust.md) | ## Choose when ### Choose awesome-production-machine-learning if… - License: awesome-production-machine-learning is MIT, voy is Apache-2.0. - Tags unique to awesome-production-machine-learning: awesome, awesome-list, data-mining, deep-learning. - Also covers AI Agents, LLM Frameworks. ### Choose voy if… - License: voy is Apache-2.0, awesome-production-machine-learning is MIT. - Tags unique to voy: k-d-tree, nearest-neighbor-search, rust, similarity-search. - Leaner open-issue backlog (22). ## When NOT to use awesome-production-machine-learning - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - 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 voy - Last GitHub push was 1025 days ago (dormant maintenance, Sep 20, 2023). Validate activity before betting a new project on voy. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between awesome-production-machine-learning and voy? awesome-production-machine-learning: A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning. voy: 🕸️🦀 A WASM vector similarity search written in Rust. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-production-machine-learning over voy? Choose awesome-production-machine-learning over voy when License: awesome-production-machine-learning is MIT, voy is Apache-2.0; Tags unique to awesome-production-machine-learning: awesome, awesome-list, data-mining, deep-learning; Also covers AI Agents, LLM Frameworks. ### When should I choose voy over awesome-production-machine-learning? Choose voy over awesome-production-machine-learning when License: voy is Apache-2.0, awesome-production-machine-learning is MIT; Tags unique to voy: k-d-tree, nearest-neighbor-search, rust, similarity-search; Leaner open-issue backlog (22). ### When should I avoid awesome-production-machine-learning? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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 voy? Last GitHub push was 1025 days ago (dormant maintenance, Sep 20, 2023). Validate activity before betting a new project on voy. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is awesome-production-machine-learning or voy more popular on GitHub? awesome-production-machine-learning has more GitHub stars (20,719 vs 1,063). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-production-machine-learning and voy open source? Yes - both are open-source projects on GitHub (awesome-production-machine-learning: MIT, voy: Apache-2.0). ### Where can I find alternatives to awesome-production-machine-learning or voy? GraphCanon lists graph-backed alternatives at [awesome-production-machine-learning alternatives](/tools/ethicalml-awesome-production-machine-learning/alternatives) and [voy alternatives](/tools/tantaraio-voy/alternatives) ([awesome-production-machine-learning markdown twin](/tools/ethicalml-awesome-production-machine-learning/alternatives.md), [voy markdown twin](/tools/tantaraio-voy/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/ethicalml-awesome-production-machine-learning-vs-tantaraio-voy.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-production-machine-learning or voy? awesome-production-machine-learning: Active. voy: 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 awesome-production-machine-learning and voy? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-production-machine-learning trust report](/tools/ethicalml-awesome-production-machine-learning/trust); [voy trust report](/tools/tantaraio-voy/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ethicalml-awesome-production-machine-learning`](/api/graphcanon/graph?tool=ethicalml-awesome-production-machine-learning) - 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/_