--- title: "dograh vs lingvo" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dograh-hq-dograh-vs-tensorflow-lingvo" tools: ["dograh-hq-dograh", "tensorflow-lingvo"] --- # dograh vs lingvo *GraphCanon updated Jul 30, 2026* ## Verdict Pick dograh when license: dograh is BSD-2-Clause, lingvo is Apache-2.0; pick lingvo when license: lingvo is Apache-2.0, dograh is BSD-2-Clause. [dograh](https://app.dograh.com) reports 5.1k GitHub stars, 1.2k forks, and 20 open issues, last pushed Jul 29, 2026. [lingvo](https://github.com/tensorflow/lingvo) has 2.9k stars, 452 forks, and 156 open issues, last pushed Jun 22, 2026. Figures are from public GitHub metadata via [dograh's repository](https://github.com/dograh-hq/dograh) and [lingvo's repository](https://github.com/tensorflow/lingvo). | | [dograh](/tools/dograh-hq-dograh.md) | [lingvo](/tools/tensorflow-lingvo.md) | | --- | --- | --- | | Tagline | Self-hosted open source voice AI platform | Lingvo is a modular and production-ready research platform built on TensorFlow for building sequence-to-sequence models. | | Stars | 5,064 | 2,861 | | Forks | 1,185 | 452 | | Open issues | 20 | 156 | | Language | Python | Python | | Adopt for | Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support | - | | Persona | - | - | | Runtime | - | - | | License | BSD-2-Clause | Apache-2.0 | | Categories | Inference & Serving, Speech & Audio | Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dograh](/tools/dograh-hq-dograh.md) | [lingvo](/tools/tensorflow-lingvo.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 37d | | Open issues (now) | 20 | 156 | | Full report | [trust report](/tools/dograh-hq-dograh/trust.md) | [trust report](/tools/tensorflow-lingvo/trust.md) | ## Decision facts: dograh - **Adopt for:** Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support ## Choose when ### Choose dograh if… - License: dograh is BSD-2-Clause, lingvo is Apache-2.0. - Tags unique to dograh: conversational-ai, local-llm, self-hosted, speech-to-text. - Also covers Inference & Serving. - You need on-premise deployment for better security or data control ### Choose lingvo if… - License: lingvo is Apache-2.0, dograh is BSD-2-Clause. - Tags unique to lingvo: asr, machine-translation, nlp, research. - Also covers Model Training. - When needing flexibility to modify framework code or develop new custom ops. ## 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 lingvo - If simplicity of installation is prioritized over modifiable framework code. - For projects that do not require TensorFlow-based advanced model customization. ## Common questions ### What is the difference between dograh and lingvo? dograh: Self-hosted open source voice AI platform. lingvo: Lingvo is a modular and production-ready research platform built on TensorFlow for building sequence-to-sequence models.. See the comparison table for live GitHub stats and shared categories. ### When should I choose dograh over lingvo? Choose dograh over lingvo when License: dograh is BSD-2-Clause, lingvo is Apache-2.0; Tags unique to dograh: conversational-ai, local-llm, self-hosted, speech-to-text; Also covers Inference & Serving; You need on-premise deployment for better security or data control. ### When should I choose lingvo over dograh? Choose lingvo over dograh when License: lingvo is Apache-2.0, dograh is BSD-2-Clause; Tags unique to lingvo: asr, machine-translation, nlp, research; Also covers Model Training; When needing flexibility to modify framework code or develop new custom ops. ### 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 lingvo? If simplicity of installation is prioritized over modifiable framework code. For projects that do not require TensorFlow-based advanced model customization. ### Is dograh or lingvo more popular on GitHub? dograh has more GitHub stars (5,064 vs 2,861). Stars measure visibility, not whether either tool fits your constraints. ### Are dograh and lingvo open source? Yes - both are open-source projects on GitHub (dograh: BSD-2-Clause, lingvo: Apache-2.0). ### Where can I find alternatives to dograh or lingvo? GraphCanon lists graph-backed alternatives at [dograh alternatives](/tools/dograh-hq-dograh/alternatives) and [lingvo alternatives](/tools/tensorflow-lingvo/alternatives) ([dograh markdown twin](/tools/dograh-hq-dograh/alternatives.md), [lingvo markdown twin](/tools/tensorflow-lingvo/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-tensorflow-lingvo.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dograh or lingvo? dograh: Very active. lingvo: Steady. 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 lingvo? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dograh trust report](/tools/dograh-hq-dograh/trust); [lingvo trust report](/tools/tensorflow-lingvo/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/_