--- title: "dc_tts vs supertonic" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kyubyong-dc-tts-vs-supertone-inc-supertonic" tools: ["kyubyong-dc-tts", "supertone-inc-supertonic"] --- # dc_tts vs supertonic *GraphCanon updated Jul 30, 2026* ## Verdict Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick supertonic if supertonic provides fast multilingual TTS on-device using ONNX runtime, native to Swift with wide language support. [dc_tts](https://github.com/Kyubyong/dc_tts) reports 1.2k GitHub stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. [supertonic](https://huggingface.co/spaces/Supertone/supertonic-3) has 14k stars, 1.4k forks, and 126 open issues, last pushed Jul 24, 2026. Figures are from public GitHub metadata via [dc_tts's repository](https://github.com/Kyubyong/dc_tts) and [supertonic's repository](https://github.com/supertone-inc/supertonic). | | [dc_tts](/tools/kyubyong-dc-tts.md) | [supertonic](/tools/supertone-inc-supertonic.md) | | --- | --- | --- | | Tagline | A TensorFlow Implementation of DC-TTS | Lightning-Fast On-Device Multilingual TTS via ONNX | | Stars | 1,156 | 13,543 | | Forks | 360 | 1,427 | | Open issues | 68 | 126 | | Language | Python | Swift | | Adopt for | dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. | Supertonic provides fast multilingual TTS on-device using ONNX runtime, native to Swift with wide language support. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dc_tts](/tools/kyubyong-dc-tts.md) | [supertonic](/tools/supertone-inc-supertonic.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1203d | 5d | | Open issues (now) | 68 | 126 | | Owner type | User | Organization | | Full report | [trust report](/tools/kyubyong-dc-tts/trust.md) | [trust report](/tools/supertone-inc-supertonic/trust.md) | ## 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. ## Decision facts: supertonic - **Adopt for:** Supertonic provides fast multilingual TTS on-device using ONNX runtime, native to Swift with wide language support. ## Choose when ### Choose dc_tts if… - dc_tts is primarily Python; supertonic is Swift. - License: dc_tts is Apache-2.0, supertonic 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. ### Choose supertonic if… - supertonic is primarily Swift; dc_tts is Python. - License: supertonic is MIT, dc_tts is Apache-2.0. - Tags unique to supertonic: cpp, csharp, flutter, go. - When deploying text-to-speech functionality requires swift performance on-device in multiple languages ## 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. ## When NOT to use supertonic - If the application is multilingual but does not require on-device processing capabilities - For teams preferring a different primary development language other than Swift or those lacking familiarity with ONNX implementation details ## Common questions ### What is the difference between dc_tts and supertonic? dc_tts: A TensorFlow Implementation of DC-TTS. supertonic: Lightning-Fast On-Device Multilingual TTS via ONNX. See the comparison table for live GitHub stats and shared categories. ### When should I choose dc_tts over supertonic? Choose dc_tts over supertonic when dc_tts is primarily Python; supertonic is Swift; License: dc_tts is Apache-2.0, supertonic 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 choose supertonic over dc_tts? Choose supertonic over dc_tts when supertonic is primarily Swift; dc_tts is Python; License: supertonic is MIT, dc_tts is Apache-2.0; Tags unique to supertonic: cpp, csharp, flutter, go; When deploying text-to-speech functionality requires swift performance on-device in multiple languages. ### 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. ### When should I avoid supertonic? If the application is multilingual but does not require on-device processing capabilities For teams preferring a different primary development language other than Swift or those lacking familiarity with ONNX implementation details ### Is dc_tts or supertonic more popular on GitHub? supertonic has more GitHub stars (13,543 vs 1,156). Stars measure visibility, not whether either tool fits your constraints. ### Are dc_tts and supertonic open source? Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, supertonic: MIT). ### Where can I find alternatives to dc_tts or supertonic? GraphCanon lists graph-backed alternatives at [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) and [supertonic alternatives](/tools/supertone-inc-supertonic/alternatives) ([dc_tts markdown twin](/tools/kyubyong-dc-tts/alternatives.md), [supertonic markdown twin](/tools/supertone-inc-supertonic/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/kyubyong-dc-tts-vs-supertone-inc-supertonic.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dc_tts or supertonic? dc_tts: Dormant. supertonic: Very active. 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 dc_tts and supertonic? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dc_tts trust report](/tools/kyubyong-dc-tts/trust); [supertonic trust report](/tools/supertone-inc-supertonic/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kyubyong-dc-tts`](/api/graphcanon/graph?tool=kyubyong-dc-tts) - 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/_