Comparison
Chatterbox-TTS-Server vs vits
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 vits if vITS stands out in high-quality end-to-end text-to-speech applications due to its integration of variational inference with normalizing flows and adversarial training methods.
Markdown twin · Chatterbox-TTS-Server alternatives · vits alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | Chatterbox-TTS-Server | vits |
|---|---|---|
| Maintenance | Steady (64d since push) As of 3w · github_public_v1 | Dormant (966d 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 | Published findings 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
- vits
- VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
Stars
- Chatterbox-TTS-Server
- 1.4k
- vits
- 7.9k
Forks
- Chatterbox-TTS-Server
- 333
- vits
- 1.4k
Open issues
- Chatterbox-TTS-Server
- 45
- vits
- 165
Language
- Chatterbox-TTS-Server
- Python
- vits
- 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.
- vits
- VITS stands out in high-quality end-to-end text-to-speech applications due to its integration of variational inference with normalizing flows and adversarial training methods.
Persona
- Chatterbox-TTS-Server
- -
- vits
- -
Runtime
- Chatterbox-TTS-Server
- -
- vits
- -
License
- Chatterbox-TTS-Server
- MIT License, open-source with permissive terms for modification and distribution.
- vits
- MIT
Last pushed
- Chatterbox-TTS-Server
- May 26, 2026
- vits
- Dec 6, 2023
Categories
- Chatterbox-TTS-Server
- Speech & Audio
- vits
- Speech & Audio
Trust and health
Maintenance
- Chatterbox-TTS-Server
- Steady (60%)
- vits
- Dormant (18%)
Days since push
- Chatterbox-TTS-Server
- 64d
- vits
- 966d
Open issues (now)
- Chatterbox-TTS-Server
- 45
- vits
- 165
Full report
- Chatterbox-TTS-Server
- Trust report
- vits
- Trust report
Shared compatibility
- Python · Chatterbox-TTS-Server: Python runtime · vits: 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 vits if…
- Requirements: Min 8 GB RAM; Python >= 3.6 is required. Ensure dependencies like espeak are installed.; The model requires specific datasets: LJ Speech for single-speaker and VCTK for multi-speaker scenarios, with necessary preprocessing..
- Tags unique to vits: deep-learning, speech-synthesis, text-to-speech, tts.
- Use VITS when you need a single-stage TTS model that generates high-quality, natural-sounding audio similar to ground-truth quality.
When NOT to use vits
- Avoid VITS if your project requires low hardware resources. The model's high-quality output comes at the cost of higher computational demands.
- Do not opt for VITS if your application strictly needs real-time performance, as it prioritizes sample quality over speed through complex inference processes.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (devnen/Chatterbox-TTS-Server) · observed Jul 30, 2026
- GitHub forks (devnen/Chatterbox-TTS-Server) · observed Jul 30, 2026
- Last push (devnen/Chatterbox-TTS-Server) · observed May 26, 2026
- License file (MIT) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (jaywalnut310/vits) · observed Jul 29, 2026
- GitHub forks (jaywalnut310/vits) · observed Jul 29, 2026
- Last push (jaywalnut310/vits) · observed Dec 6, 2023
- License file (MIT) · observed Jul 29, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Chatterbox-TTS-Server 1.4k · vits 7.9k (synced Jul 30, 2026).
Common questions
- What is the difference between Chatterbox-TTS-Server and vits?
- Chatterbox-TTS-Server: Self-host the Chatterbox TTS model with a user-friendly Web UI and flexible API endpoints. vits: VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech. See the comparison table for live GitHub stats and shared categories.
- When should I choose Chatterbox-TTS-Server over vits?
- Choose Chatterbox-TTS-Server over vits 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 vits over Chatterbox-TTS-Server?
- Choose vits over Chatterbox-TTS-Server when Requirements: Min 8 GB RAM; Python >= 3.6 is required. Ensure dependencies like espeak are installed.; The model requires specific datasets: LJ Speech for single-speaker and VCTK for multi-speaker scenarios, with necessary preprocessing.; Tags unique to vits: deep-learning, speech-synthesis, text-to-speech, tts; Use VITS when you need a single-stage TTS model that generates high-quality, natural-sounding audio similar to ground-truth 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 vits?
- Avoid VITS if your project requires low hardware resources. The model's high-quality output comes at the cost of higher computational demands. Do not opt for VITS if your application strictly needs real-time performance, as it prioritizes sample quality over speed through complex inference processes.
- Is Chatterbox-TTS-Server or vits more popular on GitHub?
- vits has more GitHub stars (7,889 vs 1,379). Stars measure visibility, not whether either tool fits your constraints.
- Are Chatterbox-TTS-Server and vits open source?
- Yes - both are open-source projects on GitHub (Chatterbox-TTS-Server: MIT, vits: MIT).
- Where can I find alternatives to Chatterbox-TTS-Server or vits?
- GraphCanon lists graph-backed alternatives at Chatterbox-TTS-Server alternatives and vits alternatives (Chatterbox-TTS-Server markdown twin, vits 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 vits?
- Chatterbox-TTS-Server: Steady. vits: 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 vits?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Chatterbox-TTS-Server trust report; vits trust report.