Home/Compare/Chatterbox-TTS-Server vs WaveRNN

Comparison

Chatterbox-TTS-Server vs WaveRNN

Verdict

Pick Chatterbox-TTS-Server if chatterbox-TTS-Server: Self-hostable TTS solution with Web UI, APIs, voice cloning, and large-scale text support across CUDA, ROCm, CPU; pick WaveRNN if waveRNN is a Python-based neural vocoder that can generate high-quality speech from text when used with TTS models like Tacotron.

Markdown twin · Chatterbox-TTS-Server alternatives · WaveRNN alternatives

GraphCanon updated 3w

Chatterbox-TTS-Server logo

Chatterbox-TTS-Server

devnen/Chatterbox-TTS-Server

1.4kpushed May 26, 2026
vs
WaveRNN logo

WaveRNN

fatchord/WaveRNN

2.2kpushed Jul 2, 2022

Trust & integrity

SignalChatterbox-TTS-ServerWaveRNN
Maintenance
Steady (64d since push)
As of 3w · github_public_v1
Dormant (1488d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Personal account
As of 3w · github_public_v1
Not a fork · Personal account
As of 3w · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
No published findings from this source as of 2026-07-11
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

Chatterbox-TTS-Server
Self-host the Chatterbox TTS model with a user-friendly Web UI and flexible API endpoints
WaveRNN
WaveRNN Vocoder + TTS

Stars

Chatterbox-TTS-Server
1.4k
WaveRNN
2.2k

Forks

Chatterbox-TTS-Server
333
WaveRNN
687

Open issues

Chatterbox-TTS-Server
45
WaveRNN
108

Language

Chatterbox-TTS-Server
Python
WaveRNN
Python

Adopt for

Chatterbox-TTS-Server
Chatterbox-TTS-Server: Self-hostable TTS solution with Web UI, APIs, voice cloning, and large-scale text support across CUDA, ROCm, CPU.
WaveRNN
WaveRNN is a Python-based neural vocoder that can generate high-quality speech from text when used with TTS models like Tacotron.

Persona

Chatterbox-TTS-Server
-
WaveRNN
-

Runtime

Chatterbox-TTS-Server
-
WaveRNN
-

License

Chatterbox-TTS-Server
MIT License, open-source with permissive terms for modification and distribution.
WaveRNN
MIT

Last pushed

Chatterbox-TTS-Server
May 26, 2026
WaveRNN
Jul 2, 2022

Categories

Chatterbox-TTS-Server
Speech & Audio
WaveRNN
Speech & Audio

Trust and health

Maintenance

Chatterbox-TTS-Server
Steady (60%)
WaveRNN
Dormant (18%)

Days since push

Chatterbox-TTS-Server
64d
WaveRNN
1488d

Open issues (now)

Chatterbox-TTS-Server
45
WaveRNN
108

OSV dependency advisories

Chatterbox-TTS-Server
Published findings
WaveRNN
No published findings from this source as of 2026-07-11

Full report

Chatterbox-TTS-Server
Trust report

Shared compatibility

  • Python · Chatterbox-TTS-Server: Python runtime · WaveRNN: Python runtime

Choose Chatterbox-TTS-Server if…

  • Requirements: Python 3.10 needed for pre-built wheels; avoid Python >=3.11 due to lack of support.; Ensure hardware and driver meets the Hardware Compatibility Matrix requirements..
  • Tags unique to Chatterbox-TTS-Server: ai, api-server, audio-generation, chatterbox.
  • Chatterbox-TTS-Server ships Docker support for self-hosted deployment.
  • You need a self-hosted Text-to-Speech service that supports advanced features like voice cloning.

When NOT to use Chatterbox-TTS-Server

  • When only pre-built wheels and no flexibility with Python versions is required (strictly follows Python 3.10).
  • If your hardware or OS lacks support detailed in the compatibility matrix, like unsupported GPUs/CPU setups.
  • For projects requiring minimal dependencies without manual handling of installation intricacies.

Choose WaveRNN if…

  • 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, speech-synthesis, tacotron, text-to-speech.
  • 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.

Explore

Sources

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

GitHub stars on cards: Chatterbox-TTS-Server 1.4k · WaveRNN 2.2k (synced Jul 30, 2026).

Common questions

What is the difference between Chatterbox-TTS-Server and WaveRNN?
Chatterbox-TTS-Server: Self-host the Chatterbox TTS model with a user-friendly Web UI and flexible API endpoints. WaveRNN: WaveRNN Vocoder + TTS. See the comparison table for live GitHub stats and shared categories.
When should I choose Chatterbox-TTS-Server over WaveRNN?
Choose Chatterbox-TTS-Server over WaveRNN when Requirements: Python 3.10 needed for pre-built wheels; avoid Python >=3.11 due to lack of support.; Ensure hardware and driver meets the Hardware Compatibility Matrix requirements.; Tags unique to Chatterbox-TTS-Server: ai, api-server, audio-generation, chatterbox; Chatterbox-TTS-Server ships Docker support for self-hosted deployment; You need a self-hosted Text-to-Speech service that supports advanced features like voice cloning.
When should I choose WaveRNN over Chatterbox-TTS-Server?
Choose WaveRNN over Chatterbox-TTS-Server when 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, speech-synthesis, tacotron, text-to-speech; 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 avoid Chatterbox-TTS-Server?
When only pre-built wheels and no flexibility with Python versions is required (strictly follows Python 3.10). If your hardware or OS lacks support detailed in the compatibility matrix, like unsupported GPUs/CPU setups. For projects requiring minimal dependencies without manual handling of installation intricacies.
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.
Is Chatterbox-TTS-Server or WaveRNN more popular on GitHub?
WaveRNN has more GitHub stars (2,190 vs 1,379). Stars measure visibility, not whether either tool fits your constraints.
Are Chatterbox-TTS-Server and WaveRNN open source?
Yes - both are open-source projects on GitHub (Chatterbox-TTS-Server: MIT, WaveRNN: MIT).
Where can I find alternatives to Chatterbox-TTS-Server or WaveRNN?
GraphCanon lists graph-backed alternatives at Chatterbox-TTS-Server alternatives and WaveRNN alternatives (Chatterbox-TTS-Server markdown twin, WaveRNN 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, Chatterbox-TTS-Server or WaveRNN?
Chatterbox-TTS-Server: Steady. WaveRNN: 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 Chatterbox-TTS-Server and WaveRNN?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Chatterbox-TTS-Server trust report; WaveRNN trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.