--- title: "dograh vs annyang" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dograh-hq-dograh-vs-talater-annyang" tools: ["dograh-hq-dograh", "talater-annyang"] --- # dograh vs annyang *GraphCanon updated Jul 30, 2026* ## Verdict Pick dograh if self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support; pick annyang if annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library. [dograh](https://app.dograh.com) reports 5.1k GitHub stars, 1.2k forks, and 20 open issues, last pushed Jul 29, 2026. [annyang](https://www.talater.com/annyang/) has 6.8k stars, 1.0k forks, and 10 open issues, last pushed Jul 14, 2026. Figures are from public GitHub metadata via [dograh's repository](https://github.com/dograh-hq/dograh) and [annyang's repository](https://github.com/TalAter/annyang). | | [dograh](/tools/dograh-hq-dograh.md) | [annyang](/tools/talater-annyang.md) | | --- | --- | --- | | Tagline | Self-hosted open source voice AI platform | Speech recognition for your site | | Stars | 5,064 | 6,818 | | Forks | 1,185 | 1,048 | | Open issues | 20 | 10 | | Language | Python | TypeScript | | Adopt for | Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support | annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library. | | Persona | - | - | | Runtime | - | - | | License | BSD-2-Clause | MIT License: Permissive free software license notice that gives users the freedom to modify and redistribute as long as they provide source credit. | | Categories | Inference & Serving, Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dograh](/tools/dograh-hq-dograh.md) | [annyang](/tools/talater-annyang.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 15d | | Open issues (now) | 20 | 10 | | Owner type | Organization | User | | Full report | [trust report](/tools/dograh-hq-dograh/trust.md) | [trust report](/tools/talater-annyang/trust.md) | ## Decision facts: dograh - **Adopt for:** Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support ## Decision facts: annyang - **Pricing:** freemium - Available at no charge with an open-source MIT license, making it suitable for both personal and commercial projects. - **Adopt for:** annyang enables speech-to-text capabilities for web sites with its TypeScript-based JavaScript library. - **License detail:** MIT License: Permissive free software license notice that gives users the freedom to modify and redistribute as long as they provide source credit. ## Choose when ### Choose dograh if… - dograh is primarily Python; annyang is TypeScript. - License: dograh is BSD-2-Clause, annyang is MIT. - Tags unique to dograh: conversational-ai, local-llm, self-hosted, telephony. - Also covers Inference & Serving. - You need on-premise deployment for better security or data control ### Choose annyang if… - annyang is primarily TypeScript; dograh is Python. - License: annyang is MIT, dograh is BSD-2-Clause. - Pricing: Available at no charge with an open-source MIT license, making it suitable for both personal and commercial projects.. - Tags unique to annyang: mit-license, speech, speech-recognition, voice. - When you are working on a project that requires integrating voice commands into a website and your tech stack already includes TypeScript or JavaScript. ## When NOT to use dograh - Seeking cloud-managed services without self-hosting capabilities - Need real-time collaboration with non-local models in the cloud - Preference is for tools under different licenses than BSD-2-Clause - Must integrate with platforms that lack native telephony support ## When NOT to use annyang - If the project requires a high level of speech recognition accuracy in noisy environments, as annyang might not perform optimally under such conditions. - For applications demanding real-time transcription with low latency, considering that annang may introduce some delay which could be critical for certain use cases. ## Common questions ### What is the difference between dograh and annyang? dograh: Self-hosted open source voice AI platform. annyang: Speech recognition for your site. See the comparison table for live GitHub stats and shared categories. ### When should I choose dograh over annyang? Choose dograh over annyang when dograh is primarily Python; annyang is TypeScript; License: dograh is BSD-2-Clause, annyang is MIT; Tags unique to dograh: conversational-ai, local-llm, self-hosted, telephony; Also covers Inference & Serving; You need on-premise deployment for better security or data control. ### When should I choose annyang over dograh? Choose annyang over dograh when annyang is primarily TypeScript; dograh is Python; License: annyang is MIT, dograh is BSD-2-Clause; Pricing: Available at no charge with an open-source MIT license, making it suitable for both personal and commercial projects.; Tags unique to annyang: mit-license, speech, speech-recognition, voice; When you are working on a project that requires integrating voice commands into a website and your tech stack already includes TypeScript or JavaScript. ### When should I avoid dograh? Seeking cloud-managed services without self-hosting capabilities Need real-time collaboration with non-local models in the cloud Preference is for tools under different licenses than BSD-2-Clause Must integrate with platforms that lack native telephony support ### When should I avoid annyang? If the project requires a high level of speech recognition accuracy in noisy environments, as annyang might not perform optimally under such conditions. For applications demanding real-time transcription with low latency, considering that annang may introduce some delay which could be critical for certain use cases. ### Is dograh or annyang more popular on GitHub? annyang has more GitHub stars (6,818 vs 5,064). Stars measure visibility, not whether either tool fits your constraints. ### Are dograh and annyang open source? Yes - both are open-source projects on GitHub (dograh: BSD-2-Clause, annyang: MIT). ### Where can I find alternatives to dograh or annyang? GraphCanon lists graph-backed alternatives at [dograh alternatives](/tools/dograh-hq-dograh/alternatives) and [annyang alternatives](/tools/talater-annyang/alternatives) ([dograh markdown twin](/tools/dograh-hq-dograh/alternatives.md), [annyang markdown twin](/tools/talater-annyang/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/dograh-hq-dograh-vs-talater-annyang.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dograh or annyang? dograh: Very active. annyang: 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 dograh and annyang? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dograh trust report](/tools/dograh-hq-dograh/trust); [annyang trust report](/tools/talater-annyang/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dograh-hq-dograh`](/api/graphcanon/graph?tool=dograh-hq-dograh) - 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/_