--- title: "Handy vs awesome-automl-papers" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cjpais-handy-vs-hibayesian-awesome-automl-papers" tools: ["cjpais-handy", "hibayesian-awesome-automl-papers"] --- # Handy vs awesome-automl-papers *GraphCanon updated Jul 11, 2026* ## Verdict Pick Handy when license: Handy is MIT, awesome-automl-papers is Apache-2.0; pick awesome-automl-papers when license: awesome-automl-papers is Apache-2.0, Handy is MIT. [Handy](https://handy.computer) reports 26k GitHub stars, 2.3k forks, and 167 open issues, last pushed Jul 11, 2026. [awesome-automl-papers](https://github.com/hibayesian/awesome-automl-papers) has 4.2k stars, 680 forks, and 2 open issues, last pushed Jun 11, 2024. Figures are from public GitHub metadata via [Handy's repository](https://github.com/cjpais/Handy) and [awesome-automl-papers's repository](https://github.com/hibayesian/awesome-automl-papers). | | [Handy](/tools/cjpais-handy.md) | [awesome-automl-papers](/tools/hibayesian-awesome-automl-papers.md) | | --- | --- | --- | | Tagline | A free, open source, and extensible speech-to-text application that works completely offline. | A curated list of automated machine learning papers, articles, tutorials, slides and projects | | Stars | 26,254 | 4,152 | | Forks | 2,257 | 680 | | Open issues | 167 | 2 | | Language | Rust | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Vector Databases, Speech & Audio, Computer Vision | Vector Databases, Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Handy](/tools/cjpais-handy.md) | [awesome-automl-papers](/tools/hibayesian-awesome-automl-papers.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 760d | | Open issues (now) | 167 | 2 | | Full report | [trust report](/tools/cjpais-handy/trust.md) | [trust report](/tools/hibayesian-awesome-automl-papers/trust.md) | ## Choose when ### Choose Handy if… - License: Handy is MIT, awesome-automl-papers is Apache-2.0. - Tags unique to Handy: tauri-v2, speech-to-text, cross-platform, rust. - Also covers Speech & Audio. ### Choose awesome-automl-papers if… - License: awesome-automl-papers is Apache-2.0, Handy is MIT. - Tags unique to awesome-automl-papers: automl, neural-architecture-search, automated-feature-engineering, hyperparameter-optimization. - 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 awesome-automl-papers - Last GitHub push was 760 days ago (dormant maintenance, Jun 11, 2024). Validate activity before betting a new project on awesome-automl-papers. - 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 awesome-automl-papers? Handy: A free, open source, and extensible speech-to-text application that works completely offline.. awesome-automl-papers: A curated list of automated machine learning papers, articles, tutorials, slides and projects. See the comparison table for live GitHub stats and shared categories. ### When should I choose Handy over awesome-automl-papers? Choose Handy over awesome-automl-papers when License: Handy is MIT, awesome-automl-papers is Apache-2.0; Tags unique to Handy: tauri-v2, speech-to-text, cross-platform, rust; Also covers Speech & Audio. ### When should I choose awesome-automl-papers over Handy? Choose awesome-automl-papers over Handy when License: awesome-automl-papers is Apache-2.0, Handy is MIT; Tags unique to awesome-automl-papers: automl, neural-architecture-search, automated-feature-engineering, hyperparameter-optimization; 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 awesome-automl-papers? Last GitHub push was 760 days ago (dormant maintenance, Jun 11, 2024). Validate activity before betting a new project on awesome-automl-papers. 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 awesome-automl-papers more popular on GitHub? Handy has more GitHub stars (26,254 vs 4,152). Stars measure visibility, not whether either tool fits your constraints. ### Are Handy and awesome-automl-papers open source? Yes - both are open-source projects on GitHub (Handy: MIT, awesome-automl-papers: Apache-2.0). ### Where can I find alternatives to Handy or awesome-automl-papers? GraphCanon lists graph-backed alternatives at [Handy alternatives](/tools/cjpais-handy/alternatives) and [awesome-automl-papers alternatives](/tools/hibayesian-awesome-automl-papers/alternatives) ([Handy markdown twin](/tools/cjpais-handy/alternatives.md), [awesome-automl-papers markdown twin](/tools/hibayesian-awesome-automl-papers/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-hibayesian-awesome-automl-papers.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Handy or awesome-automl-papers? Handy: Very active. awesome-automl-papers: 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 awesome-automl-papers? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Handy trust report](/tools/cjpais-handy/trust); [awesome-automl-papers trust report](/tools/hibayesian-awesome-automl-papers/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/_