Comparison
LLMSys-PaperList vs litellm
Verdict
Pick LLMSys-PaperList if lLMSys-PaperList offers a comprehensive list of papers and resources tailored specifically to Large Language Model (LLM) systems; 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.
Markdown twin · LLMSys-PaperList alternatives · litellm alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | LLMSys-PaperList | litellm |
|---|---|---|
| Maintenance | Very active (1d since push) As of 1d · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | 2 low (2 low) As of 1d · osv@v1 |
Tagline
- LLMSys-PaperList
- Curated list of academic papers related to Large Language Model systems
- litellm
- Python SDK and Proxy Server for calling multiple LLM APIs
Stars
- LLMSys-PaperList
- 2.2k
- litellm
- 53k
Forks
- LLMSys-PaperList
- 114
- litellm
- 9.7k
Open issues
- LLMSys-PaperList
- 0
- litellm
- 3.9k
Language
- LLMSys-PaperList
- -
- litellm
- Python
Adopt for
- LLMSys-PaperList
- LLMSys-PaperList offers a comprehensive list of papers and resources tailored specifically to Large Language Model (LLM) systems.
- 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.
Persona
- LLMSys-PaperList
- -
- litellm
- -
Runtime
- LLMSys-PaperList
- -
- litellm
- -
License
- LLMSys-PaperList
- (unknown)
- 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.
Last pushed
- LLMSys-PaperList
- Jul 9, 2026
- litellm
- Jul 11, 2026
Categories
- LLMSys-PaperList
- Inference & Serving, LLM Frameworks, Model Training
- litellm
- Inference & Serving, LLM Frameworks
Trust and health
Days since push
- LLMSys-PaperList
- 1d
- litellm
- 0d
Open issues (now)
- LLMSys-PaperList
- 0
- litellm
- 3.9k
Owner type
- LLMSys-PaperList
- User
- litellm
- Organization
Security scan
- LLMSys-PaperList
- No lockfile
- litellm
- 2 low (2 low)
Full report
- LLMSys-PaperList
- Trust report
- litellm
- Trust report
Choose LLMSys-PaperList if…
- (repository does not specify hosting environment)
- Tags unique to LLMSys-PaperList: academic-sources, framework-overview, inference-techniques, research papers.
- Also covers Model Training.
- - When you need a curated list focusing on technical advancements in pre-training, post-training, serving, and multi-modal LLM systems.
When NOT to use LLMSys-PaperList
- - If you are looking for a general repository of machine learning papers rather than specific developments related to Large Language Models.
- - When your primary need is documentation or code examples rather than academic papers and project insights.
- - For applications where real-time updates and active community support are imperative, as LLMSys-PaperList primarily serves as a static list without user interaction features like commenting or liveＱ
Choose litellm if…
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AmberLJC/LLMSys-PaperList) · observed Jul 11, 2026
- GitHub forks (AmberLJC/LLMSys-PaperList) · observed Jul 11, 2026
- Last push (AmberLJC/LLMSys-PaperList) · observed Jul 9, 2026
- License file (unknown) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: LLMSys-PaperList 2.2k · litellm 53k (synced Jul 11, 2026).
Common questions
- What is the difference between LLMSys-PaperList and litellm?
- LLMSys-PaperList: Curated list of academic papers related to Large Language Model systems. litellm: Python SDK and Proxy Server for calling multiple LLM APIs. See the comparison table for live GitHub stats and shared categories.
- When should I choose LLMSys-PaperList over litellm?
- Choose LLMSys-PaperList over litellm when (repository does not specify hosting environment); Tags unique to LLMSys-PaperList: academic-sources, framework-overview, inference-techniques, research papers; Also covers Model Training; - When you need a curated list focusing on technical advancements in pre-training, post-training, serving, and multi-modal LLM systems.
- When should I choose litellm over LLMSys-PaperList?
- Choose litellm over LLMSys-PaperList when 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 avoid LLMSys-PaperList?
- - If you are looking for a general repository of machine learning papers rather than specific developments related to Large Language Models. - When your primary need is documentation or code examples rather than academic papers and project insights. - For applications where real-time updates and active community support are imperative, as LLMSys-PaperList primarily serves as a static list without user interaction features like commenting or liveＱ
- When should I avoid litellm?
- If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill.
- Is LLMSys-PaperList or litellm more popular on GitHub?
- litellm has more GitHub stars (53,271 vs 2,175). Stars measure visibility, not whether either tool fits your constraints.
- Are LLMSys-PaperList and litellm open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to LLMSys-PaperList or litellm?
- GraphCanon lists graph-backed alternatives at LLMSys-PaperList alternatives and litellm alternatives (LLMSys-PaperList markdown twin, litellm 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, LLMSys-PaperList or litellm?
- LLMSys-PaperList: Very active. litellm: 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 LLMSys-PaperList and litellm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LLMSys-PaperList trust report; litellm trust report.