Home/Compare/dograh vs lingvo

Comparison

dograh vs lingvo

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.

Markdown twin · dograh alternatives · lingvo alternatives

GraphCanon updated 3w

dograh logo

dograh

dograh-hq/dograh

5.1kpushed Jul 29, 2026
vs
lingvo logo

lingvo

tensorflow/lingvo

2.9kpushed Jun 22, 2026

Trust & integrity

Signaldograhlingvo
Maintenance
Very active (0d since push)
As of 3w · github_public_v1
Steady (37d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 3w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

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.

Stars

dograh
5.1k
lingvo
2.9k

Forks

dograh
1.2k
lingvo
452

Open issues

dograh
20
lingvo
156

Language

dograh
Python
lingvo
Python

Adopt for

dograh
Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support
lingvo
-

Persona

dograh
-
lingvo
-

Runtime

dograh
-
lingvo
-

License

dograh
BSD-2-Clause
lingvo
Apache-2.0

Last pushed

dograh
Jul 29, 2026
lingvo
Jun 22, 2026

Categories

dograh
Inference & Serving, Speech & Audio
lingvo
Model Training, Speech & Audio

Trust and health

Maintenance

dograh
Very active (96%)
lingvo
Steady (60%)

Days since push

dograh
0d
lingvo
37d

Open issues (now)

dograh
20
lingvo
156

Full report

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

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

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 lingvo

  • If simplicity of installation is prioritized over modifiable framework code.
  • For projects that do not require TensorFlow-based advanced model customization.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: dograh 5.1k · lingvo 2.9k (synced Jul 29, 2026).

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 and lingvo alternatives (dograh markdown twin, lingvo markdown twin), 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 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; lingvo trust report.

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