Comparison
litellm vs BELLE
Verdict
Pick litellm if 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; pick BELLE if bELLE is an open-source Chinese dialogue large model that focuses on improving instruction-following capabilities through fine-tuned pre-training models.
Markdown twin · litellm alternatives · BELLE alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | litellm | BELLE |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Dormant (654d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 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
- litellm
- Python SDK and Proxy Server for calling multiple LLM APIs
- BELLE
- Open-source Chinese dialogue large model
Stars
- litellm
- 55k
- BELLE
- 8.3k
Forks
- litellm
- 10k
- BELLE
- 758
Open issues
- litellm
- 4.6k
- BELLE
- 106
Language
- litellm
- Python
- BELLE
- HTML
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.
- BELLE
- BELLE is an open-source Chinese dialogue large model that focuses on improving instruction-following capabilities through fine-tuned pre-training models.
Persona
- litellm
- -
- BELLE
- -
Runtime
- litellm
- -
- BELLE
- -
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.
- BELLE
- Available under the Apache-2.0 license.
Last pushed
- litellm
- Aug 1, 2026
- BELLE
- Oct 16, 2024
Categories
- litellm
- Inference & Serving, LLM Frameworks
- BELLE
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- litellm
- Very active (96%)
- BELLE
- Dormant (18%)
Days since push
- litellm
- 0d
- BELLE
- 654d
Open issues (now)
- litellm
- 4.6k
- BELLE
- 106
OSV dependency advisories
- litellm
- Published findings
- BELLE
- No published findings from this source as of 2026-07-11
Full report
- litellm
- Trust report
- BELLE
- Trust report
Choose litellm if…
- litellm is primarily Python; BELLE is HTML.
- License: litellm is Other, BELLE is Apache-2.0.
- 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 BELLE if…
- BELLE is primarily HTML; litellm is Python.
- License: BELLE is Apache-2.0, litellm is Other.
- BELLE models are hosted on Hugging Face, contributing to a growing ecosystem of open-source language models.
- Pricing: Free for non-commercial use under the Apache 2.0 license; commercial projects should review compliance or seek additional licensing options as needed..
- Tags unique to BELLE: chinese-nlp, gpt-evaluation, instruct-finetune, llama.
- Also covers Model Training.
- When you need a specifically optimized language model for the Chinese language with enhanced dialogue capabilities.
When NOT to use BELLE
- When the project requires a multi-lingual model or extensive support for languages other than Chinese.
- For applications that do not need fine-tuned instruction-following capabilities, since BELLE is particularly optimized for this aspect using data from ChatGPT exclusively.
- If real-time voice recognition speed is critical and a slight delay can be tolerated, as alternatives may offer more balanced performance.
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 Aug 1, 2026
- GitHub forks (BerriAI/litellm) · observed Aug 1, 2026
- Last push (BerriAI/litellm) · observed Aug 1, 2026
- License file (Other) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (LianjiaTech/BELLE) · observed Aug 1, 2026
- GitHub forks (LianjiaTech/BELLE) · observed Aug 1, 2026
- Last push (LianjiaTech/BELLE) · observed Oct 16, 2024
- License file (Apache-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: litellm 55k · BELLE 8.3k (synced Aug 1, 2026).
Common questions
- What is the difference between litellm and BELLE?
- litellm: Python SDK and Proxy Server for calling multiple LLM APIs. BELLE: Open-source Chinese dialogue large model. See the comparison table for live GitHub stats and shared categories.
- When should I choose litellm over BELLE?
- Choose litellm over BELLE when litellm is primarily Python; BELLE is HTML; License: litellm is Other, BELLE is Apache-2.0; 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 BELLE over litellm?
- Choose BELLE over litellm when BELLE is primarily HTML; litellm is Python; License: BELLE is Apache-2.0, litellm is Other; BELLE models are hosted on Hugging Face, contributing to a growing ecosystem of open-source language models; Pricing: Free for non-commercial use under the Apache 2.0 license; commercial projects should review compliance or seek additional licensing options as needed.; Tags unique to BELLE: chinese-nlp, gpt-evaluation, instruct-finetune, llama; Also covers Model Training; When you need a specifically optimized language model for the Chinese language with enhanced dialogue capabilities.
- 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 BELLE?
- When the project requires a multi-lingual model or extensive support for languages other than Chinese. For applications that do not need fine-tuned instruction-following capabilities, since BELLE is particularly optimized for this aspect using data from ChatGPT exclusively. If real-time voice recognition speed is critical and a slight delay can be tolerated, as alternatives may offer more balanced performance.
- Is litellm or BELLE more popular on GitHub?
- litellm has more GitHub stars (55,221 vs 8,280). Stars measure visibility, not whether either tool fits your constraints.
- Are litellm and BELLE open source?
- Yes - both are open-source projects on GitHub (litellm: Other, BELLE: Apache-2.0).
- Where can I find alternatives to litellm or BELLE?
- GraphCanon lists graph-backed alternatives at litellm alternatives and BELLE alternatives (litellm 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, litellm or BELLE?
- litellm: Very active. 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 litellm and BELLE?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litellm trust report; BELLE trust report.