Home/Compare/WaveRNN vs dia2

Comparison

WaveRNN vs dia2

Verdict

Pick WaveRNN when license: WaveRNN is MIT, dia2 is Apache-2.0; pick dia2 when license: dia2 is Apache-2.0, WaveRNN is MIT.

Markdown twin · WaveRNN alternatives · dia2 alternatives

GraphCanon updated Sep 20, 2026

WaveRNN logo

WaveRNN

fatchord/WaveRNN

★ 2.2kpushed Jul 2, 2022
vs
dia2 logo

dia2

nari-labs/dia2

★ 1.2kpushed Nov 29, 2025

Trust & integrity

SignalWaveRNNdia2
Maintenance
Dormant (1540d since push)
As of Sep 20, 2026 · github_public_v1
Slowing (295d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No published findings from this source as of 2026-07-11
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · 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

WaveRNN
WaveRNN Vocoder + TTS
dia2
TTS model capable of streaming conversational audio in real-time.

Stars

WaveRNN
2.2k
dia2
1.2k

Forks

WaveRNN
685
dia2
102

Open issues

WaveRNN
108
dia2
5

Language

WaveRNN
Python
dia2
Python

Adopt for

WaveRNN
WaveRNN is a Python-based neural vocoder that can generate high-quality speech from text when used with TTS models like Tacotron.
dia2
-

Persona

WaveRNN
-
dia2
-

Runtime

WaveRNN
-
dia2
-

License

WaveRNN
MIT
dia2
Apache-2.0

Last pushed

WaveRNN
Jul 2, 2022
dia2
Nov 29, 2025

Categories

WaveRNN
Speech & Audio
dia2
Speech & Audio

Trust and health

Maintenance

WaveRNN
Dormant (18%)
dia2
Slowing (36%)

Days since push

WaveRNN
1540d
dia2
295d

Open issues (now)

WaveRNN
108
dia2
5

Stars delta

WaveRNN
+1 (30d)
dia2
+20 (30d)

Owner type

WaveRNN
User
dia2
Organization

OSV dependency advisories

WaveRNN
No published findings from this source as of 2026-07-11
dia2
No lockfile (source not queried)

Full report

Choose WaveRNN if…

  • License: WaveRNN is MIT, dia2 is Apache-2.0.
  • Requirements: Python version must be equal to or higher than 3.6; Pytorch 1 with CUDA support is a prerequisite.
  • Tags unique to WaveRNN: neural-vocoder, pytorch, speech-synthesis, tacotron.
  • When you require a compact and efficient method to produce natural-sounding speech synthesis, specifically with the need for high fidelity in audio quality.

When NOT to use WaveRNN

  • Avoid using when you need extensive customization of the vocoder parameters, since it is optimized for specific configurations and might not offer the level of tweakability other frameworks provide.
  • Not recommended if your setup does not support CUDA, as WaveRNN requires PyTorch with CUDA for execution.

Choose dia2 if…

  • License: dia2 is Apache-2.0, WaveRNN is MIT.
  • Tags unique to dia2: open-weight.
  • When you need real-time streaming capabilities for text-to-speech applications.

When NOT to use dia2

  • For projects aimed at batch processing or non-realtime TTS applications where instantaneous audio output isn't required.
  • If you are looking for an open-source model that does not include specific proprietary components like the Kyutai Mimi codec.

Explore

Sources

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

GitHub stars on cards: WaveRNN 2.2k · dia2 1.2k (synced Sep 20, 2026).

Common questions

What is the difference between WaveRNN and dia2?
WaveRNN: WaveRNN Vocoder + TTS. dia2: TTS model capable of streaming conversational audio in real-time.. See the comparison table for live GitHub stats and shared categories.
When should I choose WaveRNN over dia2?
Choose WaveRNN over dia2 when License: WaveRNN is MIT, dia2 is Apache-2.0; Requirements: Python version must be equal to or higher than 3.6; Pytorch 1 with CUDA support is a prerequisite; Tags unique to WaveRNN: neural-vocoder, pytorch, speech-synthesis, tacotron; When you require a compact and efficient method to produce natural-sounding speech synthesis, specifically with the need for high fidelity in audio quality.
When should I choose dia2 over WaveRNN?
Choose dia2 over WaveRNN when License: dia2 is Apache-2.0, WaveRNN is MIT; Tags unique to dia2: open-weight; When you need real-time streaming capabilities for text-to-speech applications.
When should I avoid WaveRNN?
Avoid using when you need extensive customization of the vocoder parameters, since it is optimized for specific configurations and might not offer the level of tweakability other frameworks provide. Not recommended if your setup does not support CUDA, as WaveRNN requires PyTorch with CUDA for execution.
When should I avoid dia2?
For projects aimed at batch processing or non-realtime TTS applications where instantaneous audio output isn't required. If you are looking for an open-source model that does not include specific proprietary components like the Kyutai Mimi codec.
Is WaveRNN or dia2 more popular on GitHub?
WaveRNN has more GitHub stars (2,191 vs 1,180). Stars measure visibility, not whether either tool fits your constraints.
Are WaveRNN and dia2 open source?
Yes - both are open-source projects on GitHub (WaveRNN: MIT, dia2: Apache-2.0).
Where can I find alternatives to WaveRNN or dia2?
GraphCanon lists graph-backed alternatives at WaveRNN alternatives and dia2 alternatives (WaveRNN markdown twin, dia2 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, WaveRNN or dia2?
WaveRNN: Dormant. dia2: Slowing. 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 WaveRNN and dia2?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: WaveRNN trust report; dia2 trust report.

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