Comparison
litellm vs MOSS
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 MOSS if an open-source conversational language model from Fudan University providing pre-trained and fine-tuned models for various applications.
Markdown twin · litellm alternatives · MOSS alternatives
GraphCanon updated 4d
Trust & integrity
| Signal | litellm | MOSS |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Steady (81d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 4d · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | Published findings 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
- MOSS
- An open-source conversational language model
Stars
- litellm
- 55k
- MOSS
- 12k
Forks
- litellm
- 10k
- MOSS
- 1.1k
Open issues
- litellm
- 4.6k
- MOSS
- 243
Language
- litellm
- Python
- MOSS
- 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.
- MOSS
- An open-source conversational language model from Fudan University providing pre-trained and fine-tuned models for various applications.
Persona
- litellm
- -
- MOSS
- -
Runtime
- litellm
- -
- MOSS
- -
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.
- MOSS
- Apache-2.0
Last pushed
- litellm
- Aug 1, 2026
- MOSS
- May 27, 2026
Categories
- litellm
- Inference & Serving, LLM Frameworks
- MOSS
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- litellm
- Very active (96%)
- MOSS
- Steady (60%)
Days since push
- litellm
- 0d
- MOSS
- 81d
Open issues (now)
- litellm
- 4.6k
- MOSS
- 243
Stars delta
- litellm
- Unknown
- MOSS
- +56 (30d)
Open issues delta
- litellm
- Unknown
- MOSS
- +1 (30d)
Full report
- litellm
- Trust report
- MOSS
- Trust report
Choose litellm if…
- License: litellm is Other, MOSS 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 MOSS if…
- License: MOSS is Apache-2.0, litellm is Other.
- Requirements: Min 16 GB RAM; Requires substantial GPU memory, ranging from around 12GB to 24GB depending on the model version.; Hardware must support high-performance matrix operations for effective inference..
- Tags unique to MOSS: chatgpt, deep-learning, dialogue-systems, large language models.
- - MOSS is ideal for use in scenarios that require detailed multi-turn dialogues with advanced plugin capabilities, such as customer support services where context preservation and the ability to call
When NOT to use MOSS
- - Avoid using MOSS in situations where you require models without integrated plugin support, as its advanced feature set might introduce unnecessary complexity.
- - MOSS may not be the optimal choice for applications that prioritize extremely low resource consumption because of its demand for significant computational power even with the lower quantized models.
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 (OpenMOSS/MOSS) · observed Aug 17, 2026
- GitHub forks (OpenMOSS/MOSS) · observed Aug 17, 2026
- Last push (OpenMOSS/MOSS) · observed May 27, 2026
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: litellm 55k · MOSS 12k (synced Aug 1, 2026).
Common questions
- What is the difference between litellm and MOSS?
- litellm: Python SDK and Proxy Server for calling multiple LLM APIs. MOSS: An open-source conversational language model. See the comparison table for live GitHub stats and shared categories.
- When should I choose litellm over MOSS?
- Choose litellm over MOSS when License: litellm is Other, MOSS 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 MOSS over litellm?
- Choose MOSS over litellm when License: MOSS is Apache-2.0, litellm is Other; Requirements: Min 16 GB RAM; Requires substantial GPU memory, ranging from around 12GB to 24GB depending on the model version.; Hardware must support high-performance matrix operations for effective inference.; Tags unique to MOSS: chatgpt, deep-learning, dialogue-systems, large language models; - MOSS is ideal for use in scenarios that require detailed multi-turn dialogues with advanced plugin capabilities, such as customer support services where context preservation and the ability to call.
- 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 MOSS?
- - Avoid using MOSS in situations where you require models without integrated plugin support, as its advanced feature set might introduce unnecessary complexity. - MOSS may not be the optimal choice for applications that prioritize extremely low resource consumption because of its demand for significant computational power even with the lower quantized models.
- Is litellm or MOSS more popular on GitHub?
- litellm has more GitHub stars (55,221 vs 12,214). Stars measure visibility, not whether either tool fits your constraints.
- Are litellm and MOSS open source?
- Yes - both are open-source projects on GitHub (litellm: Other, MOSS: Apache-2.0).
- Where can I find alternatives to litellm or MOSS?
- GraphCanon lists graph-backed alternatives at litellm alternatives and MOSS alternatives (litellm markdown twin, MOSS 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 MOSS?
- litellm: Very active. MOSS: Steady. 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 MOSS?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litellm trust report; MOSS trust report.