--- title: "Chatterbox-TTS-Server vs dc_tts" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/devnen-chatterbox-tts-server-vs-kyubyong-dc-tts" tools: ["devnen-chatterbox-tts-server", "kyubyong-dc-tts"] --- # Chatterbox-TTS-Server vs dc_tts *GraphCanon updated Jul 30, 2026* ## 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 dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. [Chatterbox-TTS-Server](https://colab.research.google.com/github/devnen/Chatterbox-TTS-Server/blob/main/Chatterbox_TTS_Colab_Demo.ipynb) reports 1.4k GitHub stars, 333 forks, and 45 open issues, last pushed May 26, 2026. [dc_tts](https://github.com/Kyubyong/dc_tts) has 1.2k stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. Figures are from public GitHub metadata via [Chatterbox-TTS-Server's repository](https://github.com/devnen/Chatterbox-TTS-Server) and [dc_tts's repository](https://github.com/Kyubyong/dc_tts). | | [Chatterbox-TTS-Server](/tools/devnen-chatterbox-tts-server.md) | [dc_tts](/tools/kyubyong-dc-tts.md) | | --- | --- | --- | | Tagline | Self-host the Chatterbox TTS model with a user-friendly Web UI and flexible API endpoints | A TensorFlow Implementation of DC-TTS | | Stars | 1,379 | 1,156 | | Forks | 333 | 360 | | Open issues | 45 | 68 | | Language | Python | Python | | Adopt for | Chatterbox-TTS-Server: Self-hostable TTS solution with Web UI, APIs, voice cloning, and large-scale text support across CUDA, ROCm, CPU. | dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. | | Persona | - | - | | Runtime | - | - | | License | MIT License, open-source with permissive terms for modification and distribution. | Apache-2.0 | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Chatterbox-TTS-Server](/tools/devnen-chatterbox-tts-server.md) | [dc_tts](/tools/kyubyong-dc-tts.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 64d | 1203d | | Open issues (now) | 45 | 68 | | Full report | [trust report](/tools/devnen-chatterbox-tts-server/trust.md) | [trust report](/tools/kyubyong-dc-tts/trust.md) | ## Decision facts: Chatterbox-TTS-Server - **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. - **Adopt for:** Chatterbox-TTS-Server: Self-hostable TTS solution with Web UI, APIs, voice cloning, and large-scale text support across CUDA, ROCm, CPU. - **License detail:** MIT License, open-source with permissive terms for modification and distribution. ## Decision facts: dc_tts - **Requirements:** Depends on TensorFlow >=1.3 and has compatibility issues with updated APIs for `tf.contrib.layers.layer_norm`.; Requires Python packages like NumPy, librosa, tqdm, matplotlib, and scipy. - **Adopt for:** dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ## Choose when ### Choose Chatterbox-TTS-Server if… - License: Chatterbox-TTS-Server is MIT, dc_tts is Apache-2.0. - 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. ### Choose dc_tts if… - License: dc_tts is Apache-2.0, Chatterbox-TTS-Server is MIT. - Requirements: Depends on TensorFlow >=1.3 and has compatibility issues with updated APIs for `tf.contrib.layers.layer_norm`.; Requires Python packages like NumPy, librosa, tqdm, matplotlib, and scipy.. - Tags unique to dc_tts: speech, speech-to-text, tensorflow, tts. - dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ## 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. ## When NOT to use dc_tts - Last GitHub push was 1229 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts. ## Common questions ### What is the difference between Chatterbox-TTS-Server and dc_tts? Chatterbox-TTS-Server: Self-host the Chatterbox TTS model with a user-friendly Web UI and flexible API endpoints. dc_tts: A TensorFlow Implementation of DC-TTS. See the comparison table for live GitHub stats and shared categories. ### When should I choose Chatterbox-TTS-Server over dc_tts? Choose Chatterbox-TTS-Server over dc_tts when License: Chatterbox-TTS-Server is MIT, dc_tts is Apache-2.0; 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 dc_tts over Chatterbox-TTS-Server? Choose dc_tts over Chatterbox-TTS-Server when License: dc_tts is Apache-2.0, Chatterbox-TTS-Server is MIT; Requirements: Depends on TensorFlow >=1.3 and has compatibility issues with updated APIs for `tf.contrib.layers.layer_norm`.; Requires Python packages like NumPy, librosa, tqdm, matplotlib, and scipy.; Tags unique to dc_tts: speech, speech-to-text, tensorflow, tts; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. ### 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 dc_tts? Last GitHub push was 1229 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts. ### Is Chatterbox-TTS-Server or dc_tts more popular on GitHub? Chatterbox-TTS-Server has more GitHub stars (1,379 vs 1,156). Stars measure visibility, not whether either tool fits your constraints. ### Are Chatterbox-TTS-Server and dc_tts open source? Yes - both are open-source projects on GitHub (Chatterbox-TTS-Server: MIT, dc_tts: Apache-2.0). ### Where can I find alternatives to Chatterbox-TTS-Server or dc_tts? GraphCanon lists graph-backed alternatives at [Chatterbox-TTS-Server alternatives](/tools/devnen-chatterbox-tts-server/alternatives) and [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) ([Chatterbox-TTS-Server markdown twin](/tools/devnen-chatterbox-tts-server/alternatives.md), [dc_tts markdown twin](/tools/kyubyong-dc-tts/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/devnen-chatterbox-tts-server-vs-kyubyong-dc-tts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Chatterbox-TTS-Server or dc_tts? Chatterbox-TTS-Server: Steady. dc_tts: 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 dc_tts? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Chatterbox-TTS-Server trust report](/tools/devnen-chatterbox-tts-server/trust); [dc_tts trust report](/tools/kyubyong-dc-tts/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=devnen-chatterbox-tts-server`](/api/graphcanon/graph?tool=devnen-chatterbox-tts-server) - 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/_