Home/Compare/sherpa-onnx vs dc_tts

Comparison

sherpa-onnx vs dc_tts

Verdict

Pick sherpa-onnx if sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages; pick dc_tts if dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.

Markdown twin · sherpa-onnx alternatives · dc_tts alternatives

GraphCanon updated 3w

sherpa-onnx logo

sherpa-onnx

k2-fsa/sherpa-onnx

14kpushed Jul 29, 2026
vs
dc_tts logo

dc_tts

Kyubyong/dc_tts

1.2kpushed Apr 14, 2023

Trust & integrity

Signalsherpa-onnxdc_tts
Maintenance
Very active (0d since push)
As of 3w · github_public_v1
Dormant (1203d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Personal account
As of 3w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · 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

sherpa-onnx
Speech-to-text and related audio processing tools using ONNX with cross-platform support
dc_tts
A TensorFlow Implementation of DC-TTS

Stars

sherpa-onnx
14k
dc_tts
1.2k

Forks

sherpa-onnx
1.6k
dc_tts
360

Open issues

sherpa-onnx
617
dc_tts
68

Language

sherpa-onnx
C++
dc_tts
Python

Adopt for

sherpa-onnx
sherpa-onnx offers local speech-to-text processing across multiple platforms including embedded systems with NPUs, supporting wide programming languages.
dc_tts
dc_tts is a text-to-speech model based on TensorFlow and requires specific version dependencies.

Persona

sherpa-onnx
-
dc_tts
-

Runtime

sherpa-onnx
-
dc_tts
-

License

sherpa-onnx
Apache-2.0
dc_tts
Apache-2.0

Last pushed

sherpa-onnx
Jul 29, 2026
dc_tts
Apr 14, 2023

Categories

sherpa-onnx
Speech & Audio
dc_tts
Speech & Audio

Trust and health

Maintenance

sherpa-onnx
Very active (96%)
dc_tts
Dormant (18%)

Days since push

sherpa-onnx
0d
dc_tts
1203d

Open issues (now)

sherpa-onnx
617
dc_tts
68

Owner type

sherpa-onnx
Organization
dc_tts
User

Full report

sherpa-onnx
Trust report

Choose sherpa-onnx if…

  • sherpa-onnx is primarily C++; dc_tts is Python.
  • Tags unique to sherpa-onnx: aarch64, android, arm32, asr.
  • When you need to deploy speech recognition or synthesis on platforms such as Raspberry Pi, RISC-V, and with NPUs like Rockchip, Axera, Ascend

When NOT to use sherpa-onnx

  • If your project strictly requires real-time web service interaction or server-based speech-to-text solutions
  • When the target environment lacks support for ONNX runtime and specific NPUs integrated within sherpa-onnx

Choose dc_tts if…

  • dc_tts is primarily Python; sherpa-onnx is C++.
  • 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 dc_tts

  • Last GitHub push was 1227 days ago (dormant maintenance, Apr 14, 2023). 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 on cards: sherpa-onnx 14k · dc_tts 1.2k (synced Jul 29, 2026).

Common questions

What is the difference between sherpa-onnx and dc_tts?
sherpa-onnx: Speech-to-text and related audio processing tools using ONNX with cross-platform support. dc_tts: A TensorFlow Implementation of DC-TTS. See the comparison table for live GitHub stats and shared categories.
When should I choose sherpa-onnx over dc_tts?
Choose sherpa-onnx over dc_tts when sherpa-onnx is primarily C++; dc_tts is Python; Tags unique to sherpa-onnx: aarch64, android, arm32, asr; When you need to deploy speech recognition or synthesis on platforms such as Raspberry Pi, RISC-V, and with NPUs like Rockchip, Axera, Ascend.
When should I choose dc_tts over sherpa-onnx?
Choose dc_tts over sherpa-onnx when dc_tts is primarily Python; sherpa-onnx is C++; 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 sherpa-onnx?
If your project strictly requires real-time web service interaction or server-based speech-to-text solutions When the target environment lacks support for ONNX runtime and specific NPUs integrated within sherpa-onnx
When should I avoid dc_tts?
Last GitHub push was 1227 days ago (dormant maintenance, Apr 14, 2023). Validate activity before betting a new project on dc_tts.
Is sherpa-onnx or dc_tts more popular on GitHub?
sherpa-onnx has more GitHub stars (13,842 vs 1,156). Stars measure visibility, not whether either tool fits your constraints.
Are sherpa-onnx and dc_tts open source?
Yes - both are open-source projects on GitHub (sherpa-onnx: Apache-2.0, dc_tts: Apache-2.0).
Where can I find alternatives to sherpa-onnx or dc_tts?
GraphCanon lists graph-backed alternatives at sherpa-onnx alternatives and dc_tts alternatives (sherpa-onnx 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, sherpa-onnx or dc_tts?
sherpa-onnx: Very active. 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 sherpa-onnx and dc_tts?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: sherpa-onnx trust report; dc_tts trust report.

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