Comparison
litellm vs guidance
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 guidance if guidance is a specialized tool written in Jupyter Notebooks that provides a unique language to control large language models (LLMs) across multiple backends such as Transformers.
Markdown twin · litellm alternatives · guidance alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | litellm | guidance |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Steady (50d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| Security (OSV) | 2 low (2 low) As of 1d · osv@v1 | No lockfile As of 1d · none |
Tagline
- litellm
- Python SDK and Proxy Server for calling multiple LLM APIs
- guidance
- A guidance language for controlling large language models.
Stars
- litellm
- 53k
- guidance
- 22k
Forks
- litellm
- 9.7k
- guidance
- 1.2k
Open issues
- litellm
- 3.9k
- guidance
- 303
Language
- litellm
- Python
- guidance
- Jupyter Notebook
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.
- guidance
- Guidance is a specialized tool written in Jupyter Notebooks that provides a unique language to control large language models (LLMs) across multiple backends such as Transformers, llama.cpp, and OpenAI. It's open-source,轻
Persona
- litellm
- -
- guidance
- -
Runtime
- litellm
- -
- guidance
- -
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.
- guidance
- MIT
Last pushed
- litellm
- Jul 11, 2026
- guidance
- May 21, 2026
Categories
- litellm
- Inference & Serving, LLM Frameworks
- guidance
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- litellm
- Very active (96%)
- guidance
- Steady (60%)
Days since push
- litellm
- 0d
- guidance
- 50d
Open issues (now)
- litellm
- 3.9k
- guidance
- 303
Security scan
- litellm
- 2 low (2 low)
- guidance
- No lockfile
Full report
- litellm
- Trust report
- guidance
- Trust report
Choose litellm if…
- litellm is primarily Python; guidance is Jupyter Notebook.
- License: litellm is Other, guidance 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 guidance if…
- guidance is primarily Jupyter Notebook; litellm is Python.
- License: guidance is MIT, litellm is Other.
- Tags unique to guidance: backend support, control language, language models, pip-installable.
- When you need a specific language to finely control various LLM backends including Transformers, llama.cpp, and OpenAI
When NOT to use guidance
- When your project is strictly confined to using only one type of backend which you can manage without a specialized control language
- If your development environment does not support or prefer Jupyter Notebooks, Guidance may not be the best choice
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 (guidance-ai/guidance) · observed Jul 11, 2026
- GitHub forks (guidance-ai/guidance) · observed Jul 11, 2026
- Last push (guidance-ai/guidance) · observed May 21, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: litellm 53k · guidance 22k (synced Jul 11, 2026).
Common questions
- What is the difference between litellm and guidance?
- litellm: Python SDK and Proxy Server for calling multiple LLM APIs. guidance: A guidance language for controlling large language models.. See the comparison table for live GitHub stats and shared categories.
- When should I choose litellm over guidance?
- Choose litellm over guidance when litellm is primarily Python; guidance is Jupyter Notebook; License: litellm is Other, guidance 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 guidance over litellm?
- Choose guidance over litellm when guidance is primarily Jupyter Notebook; litellm is Python; License: guidance is MIT, litellm is Other; Tags unique to guidance: backend support, control language, language models, pip-installable; When you need a specific language to finely control various LLM backends including Transformers, llama.cpp, and OpenAI.
- 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 guidance?
- When your project is strictly confined to using only one type of backend which you can manage without a specialized control language If your development environment does not support or prefer Jupyter Notebooks, Guidance may not be the best choice
- Is litellm or guidance more popular on GitHub?
- litellm has more GitHub stars (53,271 vs 21,656). Stars measure visibility, not whether either tool fits your constraints.
- Are litellm and guidance open source?
- Yes - both are open-source projects on GitHub (litellm: Other, guidance: MIT).
- Where can I find alternatives to litellm or guidance?
- GraphCanon lists graph-backed alternatives at litellm alternatives and guidance alternatives (litellm markdown twin, guidance 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 guidance?
- litellm: Very active. guidance: 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 guidance?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litellm trust report; guidance trust report.