Comparison
MockingBird vs dc_tts
Verdict
Pick MockingBird if mockingBird is a Python-based tool for text-to-speech and speech cloning using PyTorch that offers real-time speech generation; pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
Markdown twin · MockingBird alternatives · dc_tts alternatives
GraphCanon updated Sep 20, 2026
8views this month
Trust & integrity
| Signal | MockingBird | dc_tts |
|---|---|---|
| Maintenance | Slowing (200d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (1254d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- MockingBird
- Clone a voice in 5 seconds to generate arbitrary speech in real-time
- dc_tts
- A TensorFlow Implementation of DC-TTS
Stars
- MockingBird
- 37k
- dc_tts
- 1.2k
Forks
- MockingBird
- 5.2k
- dc_tts
- 360
Open issues
- MockingBird
- 481
- dc_tts
- 68
Language
- MockingBird
- Python
- dc_tts
- Python
Adopt for
- MockingBird
- MockingBird is a Python-based tool for text-to-speech and speech cloning using PyTorch that offers real-time speech generation.
- dc_tts
- dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
Persona
- MockingBird
- -
- dc_tts
- -
Runtime
- MockingBird
- -
- dc_tts
- -
License
- MockingBird
- Other
- dc_tts
- Apache-2.0
Last pushed
- MockingBird
- Mar 3, 2026
- dc_tts
- Apr 14, 2023
Categories
- MockingBird
- Speech & Audio
- dc_tts
- Speech & Audio
Trust and health
Maintenance
- MockingBird
- Slowing (36%)
- dc_tts
- Dormant (18%)
Days since push
- MockingBird
- 200d
- dc_tts
- 1254d
Open issues (now)
- MockingBird
- 481
- dc_tts
- 68
Stars delta
- MockingBird
- -7 (30d)
- dc_tts
- +3 (30d)
Open issues delta
- MockingBird
- -1 (30d)
- dc_tts
- 0 (30d)
OSV dependency advisories
- MockingBird
- Published findings
- dc_tts
- No lockfile (source not queried)
Full report
- MockingBird
- Trust report
- dc_tts
- Trust report
Choose MockingBird if…
- License: MockingBird is Other, dc_tts is Apache-2.0.
- Tags unique to MockingBird: ai, deep-learning, pytorch, text-to-speech.
- MockingBird ships Docker support for self-hosted deployment.
- Use MockingBird when you require rapid voice cloning, as it claims to clone voices in just five seconds.
When NOT to use MockingBird
- Avoid MockingBird if you are working with a version of Python lower than 3.7, as it explicitly requires newer versions to function correctly.
- Do not use this tool if your environment does not support PyTorch1.9.0 and cudatoolkit10.2, needed for project requirements.
- If you need the tool to run natively on M1 Macs without workarounds, MockingBird might not be suitable without additional compatibility steps.
Choose dc_tts if…
- License: dc_tts is Apache-2.0, MockingBird is Other.
- 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-to-text, tensorflow.
- dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.
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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (babysor/MockingBird) · observed Sep 20, 2026
- GitHub forks (babysor/MockingBird) · observed Sep 20, 2026
- Last push (babysor/MockingBird) · observed Mar 3, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Kyubyong/dc_tts) · observed Sep 20, 2026
- GitHub forks (Kyubyong/dc_tts) · observed Sep 20, 2026
- Last push (Kyubyong/dc_tts) · observed Apr 14, 2023
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: MockingBird 37k · dc_tts 1.2k (synced Sep 20, 2026).
Common questions
- What is the difference between MockingBird and dc_tts?
- MockingBird: Clone a voice in 5 seconds to generate arbitrary speech in real-time. dc_tts: A TensorFlow Implementation of DC-TTS. See the comparison table for live GitHub stats and shared categories.
- When should I choose MockingBird over dc_tts?
- Choose MockingBird over dc_tts when License: MockingBird is Other, dc_tts is Apache-2.0; Tags unique to MockingBird: ai, deep-learning, pytorch, text-to-speech; MockingBird ships Docker support for self-hosted deployment; Use MockingBird when you require rapid voice cloning, as it claims to clone voices in just five seconds.
- When should I choose dc_tts over MockingBird?
- Choose dc_tts over MockingBird when License: dc_tts is Apache-2.0, MockingBird is Other; 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-to-text, tensorflow; dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies. - When should I avoid MockingBird?
- Avoid MockingBird if you are working with a version of Python lower than 3.7, as it explicitly requires newer versions to function correctly. Do not use this tool if your environment does not support PyTorch1.9.0 and cudatoolkit10.2, needed for project requirements. If you need the tool to run natively on M1 Macs without workarounds, MockingBird might not be suitable without additional compatibility steps.
- 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.
- Is MockingBird or dc_tts more popular on GitHub?
- MockingBird has more GitHub stars (36,906 vs 1,159). Stars measure visibility, not whether either tool fits your constraints.
- Are MockingBird and dc_tts open source?
- Yes - both are open-source projects on GitHub (MockingBird: Other, dc_tts: Apache-2.0).
- Where can I find alternatives to MockingBird or dc_tts?
- GraphCanon lists graph-backed alternatives at MockingBird alternatives and dc_tts alternatives (MockingBird markdown twin, dc_tts 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, MockingBird or dc_tts?
- MockingBird: Slowing. 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 MockingBird and dc_tts?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: MockingBird trust report; dc_tts trust report.