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Comparison

kaldi vs BELLE

Verdict

Pick kaldi if kaldi stands out among speech recognition toolkits with its comprehensive C++ libraries and strong community support for contributors; pick BELLE if bELLE is an open-source Chinese dialogue large model project that focuses on making high-quality instruction-following language models accessible to everyone. It provides instruction training data, models, training code,.

Markdown twin · kaldi alternatives · BELLE alternatives

GraphCanon updated Sep 20, 2026

7views this month

kaldi logo

kaldi

kaldi-asr/kaldi

★ 15kpushed Sep 22, 2025
vs
BELLE logo

BELLE

LianjiaTech/BELLE

★ 8.3kpushed Oct 16, 2024

Trust & integrity

SignalkaldiBELLE
Maintenance
Slowing (363d since push)
As of Sep 20, 2026 · github_public_v1
Dormant (701d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No published findings from this source as of 2026-09-18
As of Sep 18, 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
kaldi trust reportBELLE trust reportTrust methodology

Tagline

kaldi
Kaldi Speech Recognition Toolkit
BELLE
Open-source Chinese dialogue large model

Stars

kaldi
15k
BELLE
8.3k

Forks

kaldi
5.4k
BELLE
755

Open issues

kaldi
262
BELLE
106

Language

kaldi
Shell
BELLE
HTML

Adopt for

kaldi
Kaldi stands out among speech recognition toolkits with its comprehensive C++ libraries and strong community support for contributors.
BELLE
BELLE is an open-source Chinese dialogue large model project that focuses on making high-quality instruction-following language models accessible to everyone. It provides instruction training data, models, training code,

Persona

kaldi
-
BELLE
-

Runtime

kaldi
-
BELLE
-

License

kaldi
Other
BELLE
BELLE is licensed under Apache-2.0, allowing for free use, modification, and distribution.

Last pushed

kaldi
Sep 22, 2025
BELLE
Oct 16, 2024

Categories

kaldi
Speech & Audio
BELLE
Computer Vision, Evaluation & Observability, LLM Frameworks, Model Training, Speech & Audio

Trust and health

Maintenance

kaldi
Slowing (36%)
BELLE
Dormant (18%)

Days since push

kaldi
363d
BELLE
701d

Open issues (now)

kaldi
262
BELLE
106

Stars delta

kaldi
+46 (30d)
BELLE
-10 (30d)

Open issues delta

kaldi
+2 (30d)
BELLE
0 (30d)

OSV dependency advisories

kaldi
No lockfile (source not queried)
BELLE
No published findings from this source as of 2026-09-18

Full report

kaldi
Trust report
BELLE
Trust report

Choose kaldi if…

  • kaldi is primarily Shell; BELLE is HTML.
  • License: kaldi is Other, BELLE is Apache-2.0.
  • Tags unique to kaldi: c-plus-plus, cuda, speaker-id, speaker-verification.
  • For developers preferring a deep customization of speech recognition algorithms in C++

When NOT to use kaldi

  • If you require extensive pre-built support and documentation for non-UNIX systems like Windows outside Cygwin environment
  • For users seeking a purely Python-based ecosystem for developing speech recognition applications without the need to compile C++ code
GitHubDetails

Choose BELLE if…

  • BELLE is primarily HTML; kaldi is Shell.
  • License: BELLE is Apache-2.0, kaldi is Other.
  • Requirements: Min 8 GB RAM; Requires Docker; BELLE requires Docker for running the environment.; Ensure you have sufficient computational resources for training and inference..
  • Tags unique to BELLE: bloom, chinese-nlp, gpt-evaluation, gpt-q.
  • Also covers Computer Vision, Evaluation & Observability, LLM Frameworks, Model Training.
  • Use BELLE when you need a Chinese-specific large language model that has been optimized for instruction-following tasks.

When NOT to use BELLE

  • Avoid BELLE if your project requires a language model that is not focused on Chinese, as it is specifically optimized for the Chinese language.
  • Do not use BELLE if you need a model that is trained on a diverse set of data beyond Chinese dialogue, as it primarily uses data generated by ChatGPT.
  • BELLE may not be suitable if you require a model that has not been fine-tuned on high-quality dialogue data, as it emphasizes instruction-following capabilities.
GitHubDetails

Explore

kaldi trust report →BELLE trust report →Speech & Audio category →Computer Vision category →Evaluation & Observability category →LLM Frameworks category →Model Training category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: kaldi 15k · BELLE 8.3k (synced Sep 20, 2026).

Common questions

What is the difference between kaldi and BELLE?
kaldi: Kaldi Speech Recognition Toolkit. BELLE: Open-source Chinese dialogue large model. See the comparison table for live GitHub stats and shared categories.
When should I choose kaldi over BELLE?
Choose kaldi over BELLE when kaldi is primarily Shell; BELLE is HTML; License: kaldi is Other, BELLE is Apache-2.0; Tags unique to kaldi: c-plus-plus, cuda, speaker-id, speaker-verification; For developers preferring a deep customization of speech recognition algorithms in C++.
When should I choose BELLE over kaldi?
Choose BELLE over kaldi when BELLE is primarily HTML; kaldi is Shell; License: BELLE is Apache-2.0, kaldi is Other; Requirements: Min 8 GB RAM; Requires Docker; BELLE requires Docker for running the environment.; Ensure you have sufficient computational resources for training and inference.; Tags unique to BELLE: bloom, chinese-nlp, gpt-evaluation, gpt-q; Also covers Computer Vision, Evaluation & Observability, LLM Frameworks, Model Training; Use BELLE when you need a Chinese-specific large language model that has been optimized for instruction-following tasks.
When should I avoid kaldi?
If you require extensive pre-built support and documentation for non-UNIX systems like Windows outside Cygwin environment For users seeking a purely Python-based ecosystem for developing speech recognition applications without the need to compile C++ code
When should I avoid BELLE?
Avoid BELLE if your project requires a language model that is not focused on Chinese, as it is specifically optimized for the Chinese language. Do not use BELLE if you need a model that is trained on a diverse set of data beyond Chinese dialogue, as it primarily uses data generated by ChatGPT. BELLE may not be suitable if you require a model that has not been fine-tuned on high-quality dialogue data, as it emphasizes instruction-following capabilities.
Is kaldi or BELLE more popular on GitHub?
kaldi has more GitHub stars (15,488 vs 8,270). Stars measure visibility, not whether either tool fits your constraints.
Are kaldi and BELLE open source?
Yes - both are open-source projects on GitHub (kaldi: Other, BELLE: Apache-2.0).
Where can I find alternatives to kaldi or BELLE?
GraphCanon lists graph-backed alternatives at kaldi alternatives and BELLE alternatives (kaldi markdown twin, BELLE 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, kaldi or BELLE?
kaldi: Slowing. BELLE: 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 kaldi and BELLE?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: kaldi trust report; BELLE trust report.

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