Comparison
litellm vs FunASR
Verdict
Pick litellm when license: litellm is Other, FunASR is MIT; pick FunASR when license: FunASR is MIT, litellm is Other.
Markdown twin · litellm alternatives · FunASR alternatives
GraphCanon updated today
Trust & integrity
| Signal | litellm | FunASR |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (1d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | 2 low (2 low) As of today · osv@v1 | No criticals As of today · mcp_manifest@v1 |
Tagline
- litellm
- Python SDK and Proxy Server for calling multiple LLM APIs
- FunASR
- Industrial-grade speech recognition toolkit: 170x realtime, 50+ languages, speaker diarization, emotion detection, streaming, and OpenAI-compatible API.
Stars
- litellm
- 53k
- FunASR
- 19k
Forks
- litellm
- 9.7k
- FunASR
- 1.9k
Open issues
- litellm
- 3.9k
- FunASR
- 1
Language
- litellm
- Python
- FunASR
- Python
Adopt for
- litellm
- litellm is a Python SDK and Proxy Server that facilitates the interaction with over 100 LLM APIs, offering features such as cost tracking, guardrails, load balancing, and logging.
- FunASR
- -
Persona
- litellm
- -
- FunASR
- -
Runtime
- litellm
- -
- FunASR
- -
License
- litellm
- The licensing terms for LiteLLM are provided under a license type categorized as 'Other'; details of the exact license should be referenced directly from its source.
- FunASR
- MIT
Last pushed
- litellm
- Jul 11, 2026
- FunASR
- Jul 10, 2026
Categories
- litellm
- Inference & Serving, LLM Frameworks
- FunASR
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Days since push
- litellm
- 0d
- FunASR
- 1d
Open issues (now)
- litellm
- 3.9k
- FunASR
- 1
Security scan
- litellm
- 2 low (2 low)
- FunASR
- No criticals
Full report
- litellm
- Trust report
- FunASR
- Trust report
Choose litellm if…
- License: litellm is Other, FunASR is MIT.
- Pricing: While the core functionality is provided free, specific extended features might require a paid plan..
- Requirements: Requires Docker.
- Tags unique to litellm: ai-gateway, azure-openai, bedrock, llm.
- litellm ships Docker support for self-hosted deployment.
- When you need to integrate multiple LLM (Language Learning Modelling) APIs into your application across different providers like Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, Hugging
When NOT to use litellm
- If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill.
Choose FunASR if…
- License: FunASR is MIT, litellm is Other.
- Tags unique to FunASR: asr, audio, chinese, emotion-recognition.
- Also covers Model Training.
When NOT to use FunASR
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (BerriAI/litellm) · observed Jul 11, 2026
- GitHub forks (BerriAI/litellm) · observed Jul 11, 2026
- Last push (BerriAI/litellm) · observed Jul 11, 2026
- License file (Other) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (modelscope/FunASR) · observed Jul 11, 2026
- GitHub forks (modelscope/FunASR) · observed Jul 11, 2026
- Last push (modelscope/FunASR) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: litellm 53k · FunASR 19k (synced Jul 11, 2026).
Common questions
- What is the difference between litellm and FunASR?
- litellm: Python SDK and Proxy Server for calling multiple LLM APIs. FunASR: Industrial-grade speech recognition toolkit: 170x realtime, 50+ languages, speaker diarization, emotion detection, streaming, and OpenAI-compatible API.. See the comparison table for live GitHub stats and shared categories.
- When should I choose litellm over FunASR?
- Choose litellm over FunASR when License: litellm is Other, FunASR is MIT; Pricing: While the core functionality is provided free, specific extended features might require a paid plan.; Requirements: Requires Docker; Tags unique to litellm: ai-gateway, azure-openai, bedrock, llm; litellm ships Docker support for self-hosted deployment; When you need to integrate multiple LLM (Language Learning Modelling) APIs into your application across different providers like Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, Hugging.
- When should I choose FunASR over litellm?
- Choose FunASR over litellm when License: FunASR is MIT, litellm is Other; Tags unique to FunASR: asr, audio, chinese, emotion-recognition; Also covers Model Training.
- When should I avoid litellm?
- If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill.
- When should I avoid FunASR?
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is litellm or FunASR more popular on GitHub?
- litellm has more GitHub stars (53,271 vs 19,141). Stars measure visibility, not whether either tool fits your constraints.
- Are litellm and FunASR open source?
- Yes - both are open-source projects on GitHub (litellm: Other, FunASR: MIT).
- Where can I find alternatives to litellm or FunASR?
- GraphCanon lists graph-backed alternatives at litellm alternatives and FunASR alternatives (litellm markdown twin, FunASR 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, litellm or FunASR?
- litellm: Very active. FunASR: 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 litellm and FunASR?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litellm trust report; FunASR trust report.