--- title: "dc_tts vs openai_tts" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kyubyong-dc-tts-vs-sfortis-openai-tts" tools: ["kyubyong-dc-tts", "sfortis-openai-tts"] --- # dc_tts vs openai_tts *GraphCanon updated Sep 20, 2026* ## Verdict Pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies; pick openai_tts if a Python-based Home Assistant TTS component that leverages the OpenAI speech engine with extras like chimes and normalization. [dc_tts](https://github.com/Kyubyong/dc_tts) reports 1.2k GitHub stars, 360 forks, and 68 open issues, last pushed Apr 14, 2023. [openai_tts](https://github.com/sfortis/openai_tts) has 216 stars, 53 forks, and 12 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [dc_tts's repository](https://github.com/Kyubyong/dc_tts) and [openai_tts's repository](https://github.com/sfortis/openai_tts). | | [dc_tts](/tools/kyubyong-dc-tts.md) | [openai_tts](/tools/sfortis-openai-tts.md) | | --- | --- | --- | | Tagline | A TensorFlow Implementation of DC-TTS | Custom TTS component for Home Assistant with OpenAI speech engine integration | | Stars | 1,159 | 216 | | Forks | 360 | 53 | | Open issues | 68 | 12 | | Language | Python | Python | | Adopt for | dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. | A Python-based Home Assistant TTS component that leverages the OpenAI speech engine with extras like chimes and normalization | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | GPL-3.0 | | Categories | Speech & Audio | Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dc_tts](/tools/kyubyong-dc-tts.md) | [openai_tts](/tools/sfortis-openai-tts.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 1254d | 0d | | Open issues (now) | 68 | 12 | | Stars delta | +3 (30d) | +11 (30d) | | Open issues delta | 0 (30d) | +3 (30d) | | Full report | [trust report](/tools/kyubyong-dc-tts/trust.md) | [trust report](/tools/sfortis-openai-tts/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: openai_tts - **Adopt for:** A Python-based Home Assistant TTS component that leverages the OpenAI speech engine with extras like chimes and normalization ## Choose when ### Choose dc_tts if… - License: dc_tts is Apache-2.0, openai_tts is GPL-3.0. - 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 openai_tts if… - License: openai_tts is GPL-3.0, dc_tts is Apache-2.0. - Tags unique to openai_tts: ai, chime, ha, hacs. - When you require integration with the Home Assistant ecosystem that includes high-quality text-to-speech from OpenAI ## When NOT to use dc_tts - Last GitHub push was Apr 14, 2023 (dormant maintenance). Validate activity before betting a new project on dc_tts. ## When NOT to use openai_tts - Avoid if your deployment environment does not support Python, essential for this TTS component's operation - Not fit when looking for pre-built integrations without Home Assistant, since it specifically caters to the Home Assistant platform ## Common questions ### What is the difference between dc_tts and openai_tts? dc_tts: A TensorFlow Implementation of DC-TTS. openai_tts: Custom TTS component for Home Assistant with OpenAI speech engine integration. See the comparison table for live GitHub stats and shared categories. ### When should I choose dc_tts over openai_tts? Choose dc_tts over openai_tts when License: dc_tts is Apache-2.0, openai_tts is GPL-3.0; 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 openai_tts over dc_tts? Choose openai_tts over dc_tts when License: openai_tts is GPL-3.0, dc_tts is Apache-2.0; Tags unique to openai_tts: ai, chime, ha, hacs; When you require integration with the Home Assistant ecosystem that includes high-quality text-to-speech from OpenAI. ### When should I avoid dc_tts? Last GitHub push was Apr 14, 2023 (dormant maintenance). Validate activity before betting a new project on dc_tts. ### When should I avoid openai_tts? Avoid if your deployment environment does not support Python, essential for this TTS component's operation Not fit when looking for pre-built integrations without Home Assistant, since it specifically caters to the Home Assistant platform ### Is dc_tts or openai_tts more popular on GitHub? dc_tts has more GitHub stars (1,159 vs 216). Stars measure visibility, not whether either tool fits your constraints. ### Are dc_tts and openai_tts open source? Yes - both are open-source projects on GitHub (dc_tts: Apache-2.0, openai_tts: GPL-3.0). ### Where can I find alternatives to dc_tts or openai_tts? GraphCanon lists graph-backed alternatives at [dc_tts alternatives](/tools/kyubyong-dc-tts/alternatives) and [openai_tts alternatives](/tools/sfortis-openai-tts/alternatives) ([dc_tts markdown twin](/tools/kyubyong-dc-tts/alternatives.md), [openai_tts markdown twin](/tools/sfortis-openai-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/kyubyong-dc-tts-vs-sfortis-openai-tts.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dc_tts or openai_tts? dc_tts: Dormant. openai_tts: 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 openai_tts? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dc_tts trust report](/tools/kyubyong-dc-tts/trust); [openai_tts trust report](/tools/sfortis-openai-tts/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/_