--- title: "Handy vs ml-surveys" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cjpais-handy-vs-eugeneyan-ml-surveys" tools: ["cjpais-handy", "eugeneyan-ml-surveys"] --- # Handy vs ml-surveys *GraphCanon updated Jul 12, 2026* ## Verdict Pick Handy when tags unique to Handy: accessibility, cross-platform, rust, speech-to-text; pick ml-surveys when tags unique to ml-surveys: computer-vision, deep-learning, embeddings, machine-learning. [Handy](https://handy.computer) reports 26k GitHub stars, 2.3k forks, and 167 open issues, last pushed Jul 11, 2026. [ml-surveys](https://github.com/eugeneyan/ml-surveys) has 2.9k stars, 291 forks, and 2 open issues, last pushed Mar 17, 2023. Figures are from public GitHub metadata via [Handy's repository](https://github.com/cjpais/Handy) and [ml-surveys's repository](https://github.com/eugeneyan/ml-surveys). | | [Handy](/tools/cjpais-handy.md) | [ml-surveys](/tools/eugeneyan-ml-surveys.md) | | --- | --- | --- | | Tagline | A free, open source, and extensible speech-to-text application that works completely offline. | 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc. | | Stars | 26,254 | 2,900 | | Forks | 2,257 | 291 | | Open issues | 167 | 2 | | Language | Rust | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Computer Vision, Speech & Audio, Vector Databases | Computer Vision, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Handy](/tools/cjpais-handy.md) | [ml-surveys](/tools/eugeneyan-ml-surveys.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 1212d | | Open issues (now) | 167 | 2 | | Full report | [trust report](/tools/cjpais-handy/trust.md) | [trust report](/tools/eugeneyan-ml-surveys/trust.md) | ## Choose when ### Choose Handy if… - Tags unique to Handy: accessibility, cross-platform, rust, speech-to-text. - Also covers Speech & Audio. - More GitHub stars (26k vs 2.9k) - visibility, not fit. ### Choose ml-surveys if… - Tags unique to ml-surveys: computer-vision, deep-learning, embeddings, machine-learning. - Leaner open-issue backlog (2). ## When NOT to use Handy - 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 ml-surveys - Last GitHub push was 1213 days ago (dormant maintenance, Mar 17, 2023). Validate activity before betting a new project on ml-surveys. - 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 Handy and ml-surveys? Handy: A free, open source, and extensible speech-to-text application that works completely offline.. ml-surveys: 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Handy over ml-surveys? Choose Handy over ml-surveys when Tags unique to Handy: accessibility, cross-platform, rust, speech-to-text; Also covers Speech & Audio; More GitHub stars (26k vs 2.9k) - visibility, not fit. ### When should I choose ml-surveys over Handy? Choose ml-surveys over Handy when Tags unique to ml-surveys: computer-vision, deep-learning, embeddings, machine-learning; Leaner open-issue backlog (2). ### When should I avoid Handy? 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 ml-surveys? Last GitHub push was 1213 days ago (dormant maintenance, Mar 17, 2023). Validate activity before betting a new project on ml-surveys. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is Handy or ml-surveys more popular on GitHub? Handy has more GitHub stars (26,254 vs 2,900). Stars measure visibility, not whether either tool fits your constraints. ### Are Handy and ml-surveys open source? Yes - both are open-source projects on GitHub (Handy: MIT, ml-surveys: MIT). ### Where can I find alternatives to Handy or ml-surveys? GraphCanon lists graph-backed alternatives at [Handy alternatives](/tools/cjpais-handy/alternatives) and [ml-surveys alternatives](/tools/eugeneyan-ml-surveys/alternatives) ([Handy markdown twin](/tools/cjpais-handy/alternatives.md), [ml-surveys markdown twin](/tools/eugeneyan-ml-surveys/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/cjpais-handy-vs-eugeneyan-ml-surveys.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Handy or ml-surveys? Handy: Very active. ml-surveys: 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 Handy and ml-surveys? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Handy trust report](/tools/cjpais-handy/trust); [ml-surveys trust report](/tools/eugeneyan-ml-surveys/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cjpais-handy`](/api/graphcanon/graph?tool=cjpais-handy) - 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/_