--- title: "dc_tts vs faster-whisper" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kyubyong-dc-tts-vs-systran-faster-whisper" tools: ["kyubyong-dc-tts", "systran-faster-whisper"] --- # dc_tts vs faster-whisper *GraphCanon updated Jul 12, 2026* ## Verdict Pick dc_tts when license: dc_tts is Apache-2.0, faster-whisper is MIT; pick faster-whisper when license: faster-whisper is MIT, dc_tts is Apache-2.0. [dc_tts](https://github.com/Kyubyong/dc_tts) reports 1.2k GitHub stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. [faster-whisper](https://github.com/SYSTRAN/faster-whisper) has 24k stars, 2.0k forks, and 311 open issues, last pushed Nov 19, 2025. Figures are from public GitHub metadata via [dc_tts's repository](https://github.com/Kyubyong/dc_tts) and [faster-whisper's repository](https://github.com/SYSTRAN/faster-whisper). | | [dc_tts](/tools/kyubyong-dc-tts.md) | [faster-whisper](/tools/systran-faster-whisper.md) | | --- | --- | --- | | Tagline | A TensorFlow Implementation of DC-TTS: yet another text-to-speech model | Faster Whisper transcription with CTranslate2 | | Stars | 1,156 | 24,214 | | Forks | 360 | 1,976 | | Open issues | 68 | 311 | | Language | Python | Python | | Adopt for | - | A package for faster speech-to-text transcription based on the Whisper model, using CTranslate2. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Model Training, Speech & Audio | Inference & Serving, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dc_tts](/tools/kyubyong-dc-tts.md) | [faster-whisper](/tools/systran-faster-whisper.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 1183d | 234d | | Open issues (now) | 68 | 311 | | Owner type | User | Organization | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/kyubyong-dc-tts/trust.md) | [trust report](/tools/systran-faster-whisper/trust.md) | ## Decision facts: faster-whisper - **Requirements:** Requires Python 3.9 or higher - **Adopt for:** A package for faster speech-to-text transcription based on the Whisper model, using CTranslate2. ## Choose when ### Choose dc_tts if… - License: dc_tts is Apache-2.0, faster-whisper is MIT. - Tags unique to dc_tts: python, speech, tts. - Also covers Model Training. ### Choose faster-whisper if… - License: faster-whisper is MIT, dc_tts is Apache-2.0. - Requirements: Requires Python 3.9 or higher. - Tags unique to faster-whisper: deep-learning, inference, openai, quantization. - Also covers Inference & Serving. - A package for faster speech-to-text transcription based on the Whisper model, using CTranslate2. ## When NOT to use dc_tts - Last GitHub push was 1184 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## When NOT to use faster-whisper - * When needing to employ FFmpeg directly for audio processing as it does not require FFmpeg installation and relies instead on PyAV. - * In environments where additional dependencies from PyAV may introduce complexity or issues. ## Common questions ### What is the difference between dc_tts and faster-whisper? dc_tts: A TensorFlow Implementation of DC-TTS: yet another text-to-speech model. faster-whisper: Faster Whisper transcription with CTranslate2. See the comparison table for live GitHub stats and shared categories. ### When should I choose dc_tts over faster-whisper? Choose dc_tts over faster-whisper when License: dc_tts is Apache-2.0, faster-whisper is MIT; Tags unique to dc_tts: python, speech, tts; Also covers Model Training. ### When should I choose faster-whisper over dc_tts? Choose faster-whisper over dc_tts when License: faster-whisper is MIT, dc_tts is Apache-2.0; Requirements: Requires Python 3.9 or higher; Tags unique to faster-whisper: deep-learning, inference, openai, quantization; Also covers Inference & Serving; A package for faster speech-to-text transcription based on the Whisper model, using CTranslate2. ### When should I avoid dc_tts? Last GitHub push was 1184 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### When should I avoid faster-whisper? * When needing to employ FFmpeg directly for audio processing as it does not require FFmpeg installation and relies instead on PyAV. * In environments where additional dependencies from PyAV may introduce complexity or issues. ### Is dc_tts or faster-whisper more popular on GitHub? faster-whisper has more GitHub stars (24,214 vs 1,156). Stars measure visibility, not whether either tool fits your constraints. ### Are dc_tts and faster-whisper open source? Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, faster-whisper: MIT). ### Where can I find alternatives to dc_tts or faster-whisper? GraphCanon lists graph-backed alternatives at [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) and [faster-whisper alternatives](/tools/systran-faster-whisper/alternatives) ([dc_tts markdown twin](/tools/kyubyong-dc-tts/alternatives.md), [faster-whisper markdown twin](/tools/systran-faster-whisper/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-systran-faster-whisper.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dc_tts or faster-whisper? dc_tts: Dormant. faster-whisper: 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 dc_tts and faster-whisper? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dc_tts trust report](/tools/kyubyong-dc-tts/trust); [faster-whisper trust report](/tools/systran-faster-whisper/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/_