Comparison
litellm vs circle-guard-bench
Verdict
Pick litellm when license: litellm is Other, circle-guard-bench is Apache-2.0; pick circle-guard-bench when license: circle-guard-bench is Apache-2.0, litellm is Other.
Markdown twin · litellm alternatives · circle-guard-bench alternatives
GraphCanon updated today
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Trust & integrity
| Signal | litellm | circle-guard-bench |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3d · github_public_v1 | Slowing (129d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | Published findings As of 4d · osv@v1 | No lockfile (source not queried) As of today · 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
- circle-guard-bench
- First-of-its-kind AI benchmark for evaluating the protection capabilities of large language model (LLM) guard systems (guardrails and safeguards)
Stars
- litellm
- 53k
- circle-guard-bench
- 70
Forks
- litellm
- 9.7k
- circle-guard-bench
- 5
Open issues
- litellm
- 3.9k
- circle-guard-bench
- 0
Language
- litellm
- Python
- circle-guard-bench
- 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.
- circle-guard-bench
- -
Persona
- litellm
- -
- circle-guard-bench
- -
Runtime
- litellm
- -
- circle-guard-bench
- -
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.
- circle-guard-bench
- Apache-2.0
Last pushed
- litellm
- Jul 11, 2026
- circle-guard-bench
- Mar 7, 2026
Categories
- litellm
- Inference & Serving, LLM Frameworks
- circle-guard-bench
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- litellm
- Very active (96%)
- circle-guard-bench
- Slowing (36%)
Days since push
- litellm
- 0d
- circle-guard-bench
- 129d
Open issues (now)
- litellm
- 3.9k
- circle-guard-bench
- 0
OSV dependency advisories
- litellm
- Published findings
- circle-guard-bench
- No lockfile (source not queried)
Full report
- litellm
- Trust report
- circle-guard-bench
- Trust report
Choose litellm if…
- License: litellm is Other, circle-guard-bench 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 circle-guard-bench if…
- License: circle-guard-bench is Apache-2.0, litellm is Other.
- Tags unique to circle-guard-bench: ai, benchmark, benchmarking, guardrail.
- Also covers Model Training.
When NOT to use circle-guard-bench
- Last GitHub push was 130 days ago (slowing maintenance, Mar 7, 2026). Validate activity before betting a new project on circle-guard-bench.
- 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 (whitecircle/circle-guard-bench) · observed Jul 15, 2026
- GitHub forks (whitecircle/circle-guard-bench) · observed Jul 15, 2026
- Last push (whitecircle/circle-guard-bench) · observed Mar 7, 2026
- License file (Apache-2.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: litellm 53k · circle-guard-bench 70 (synced Jul 11, 2026).
Common questions
- What is the difference between litellm and circle-guard-bench?
- litellm: Python SDK and Proxy Server for calling multiple LLM APIs. circle-guard-bench: First-of-its-kind AI benchmark for evaluating the protection capabilities of large language model (LLM) guard systems (guardrails and safeguards). See the comparison table for live GitHub stats and shared categories.
- When should I choose litellm over circle-guard-bench?
- Choose litellm over circle-guard-bench when License: litellm is Other, circle-guard-bench 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 circle-guard-bench over litellm?
- Choose circle-guard-bench over litellm when License: circle-guard-bench is Apache-2.0, litellm is Other; Tags unique to circle-guard-bench: ai, benchmark, benchmarking, guardrail; 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 circle-guard-bench?
- Last GitHub push was 130 days ago (slowing maintenance, Mar 7, 2026). Validate activity before betting a new project on circle-guard-bench. 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 circle-guard-bench more popular on GitHub?
- litellm has more GitHub stars (53,271 vs 70). Stars measure visibility, not whether either tool fits your constraints.
- Are litellm and circle-guard-bench open source?
- Yes - both are open-source projects on GitHub (litellm: Other, circle-guard-bench: Apache-2.0).
- Where can I find alternatives to litellm or circle-guard-bench?
- GraphCanon lists graph-backed alternatives at litellm alternatives and circle-guard-bench alternatives (litellm markdown twin, circle-guard-bench 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 circle-guard-bench?
- litellm: Very active. circle-guard-bench: Slowing. 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 circle-guard-bench?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litellm trust report; circle-guard-bench trust report.