Comparison
litellm vs llm-action
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 llm-action if llm-action aims to share large model technology principles and practical experiences covering areas such as engineering, deployment, inference, serving, and training.
Markdown twin · litellm alternatives · llm-action alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | litellm | llm-action |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Active (28d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Personal account As of 4d · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) 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
- llm-action
- Aims to share large model technology principles and practical experience (large model engineering, application implementation)
Stars
- litellm
- 55k
- llm-action
- 25k
Forks
- litellm
- 10k
- llm-action
- 2.8k
Open issues
- litellm
- 4.6k
- llm-action
- 19
Language
- litellm
- Python
- llm-action
- 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.
- llm-action
- llm-action aims to share large model technology principles and practical experiences covering areas such as engineering, deployment, inference, serving, and training.
Persona
- litellm
- -
- llm-action
- -
Runtime
- litellm
- -
- llm-action
- -
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.
- llm-action
- llm-action is open-source under the Apache-2.0 license.
Last pushed
- litellm
- Aug 1, 2026
- llm-action
- Jul 19, 2026
Categories
- litellm
- Inference & Serving, LLM Frameworks
- llm-action
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- litellm
- Very active (96%)
- llm-action
- Active (82%)
Days since push
- litellm
- 0d
- llm-action
- 28d
Open issues (now)
- litellm
- 4.6k
- llm-action
- 19
Stars delta
- litellm
- Unknown
- llm-action
- +162 (30d)
Open issues delta
- litellm
- Unknown
- llm-action
- +1 (30d)
Owner type
- litellm
- Organization
- llm-action
- User
OSV dependency advisories
- litellm
- Published findings
- llm-action
- No lockfile (source not queried)
Full report
- litellm
- Trust report
- llm-action
- Trust report
Choose litellm if…
- litellm is primarily Python; llm-action is HTML.
- License: litellm is Other, llm-action 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 llm-action if…
- llm-action is primarily HTML; litellm is Python.
- License: llm-action is Apache-2.0, litellm is Other.
- Tags unique to llm-action: deployment, engineering, inference, large model.
- Also covers Model Training.
- - When you need detailed examples and best practices of implementing large language models (LLMs) in real-world applications, llm-action provides insights into the challenges faced during LLM's actual
When NOT to use llm-action
- - If your focus is narrowly on cutting-edge research rather than practical implementation details, llm-action may not be the best resource as it focuses more on deployment processes.
- - When looking for a full-stack solution that includes detailed code implementations and libraries for each phase (training, serving), llm-action might fall short. It shines in sharing knowledge but
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 (liguodongiot/llm-action) · observed Aug 16, 2026
- GitHub forks (liguodongiot/llm-action) · observed Aug 16, 2026
- Last push (liguodongiot/llm-action) · observed Jul 19, 2026
- License file (Apache-2.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: litellm 55k · llm-action 25k (synced Aug 1, 2026).
Common questions
- What is the difference between litellm and llm-action?
- litellm: Python SDK and Proxy Server for calling multiple LLM APIs. llm-action: Aims to share large model technology principles and practical experience (large model engineering, application implementation). See the comparison table for live GitHub stats and shared categories.
- When should I choose litellm over llm-action?
- Choose litellm over llm-action when litellm is primarily Python; llm-action is HTML; License: litellm is Other, llm-action 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 llm-action over litellm?
- Choose llm-action over litellm when llm-action is primarily HTML; litellm is Python; License: llm-action is Apache-2.0, litellm is Other; Tags unique to llm-action: deployment, engineering, inference, large model; Also covers Model Training; - When you need detailed examples and best practices of implementing large language models (LLMs) in real-world applications, llm-action provides insights into the challenges faced during LLM's actual.
- 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 llm-action?
- - If your focus is narrowly on cutting-edge research rather than practical implementation details, llm-action may not be the best resource as it focuses more on deployment processes. - When looking for a full-stack solution that includes detailed code implementations and libraries for each phase (training, serving), llm-action might fall short. It shines in sharing knowledge but
- Is litellm or llm-action more popular on GitHub?
- litellm has more GitHub stars (55,221 vs 24,898). Stars measure visibility, not whether either tool fits your constraints.
- Are litellm and llm-action open source?
- Yes - both are open-source projects on GitHub (litellm: Other, llm-action: Apache-2.0).
- Where can I find alternatives to litellm or llm-action?
- GraphCanon lists graph-backed alternatives at litellm alternatives and llm-action alternatives (litellm markdown twin, llm-action 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 llm-action?
- litellm: Very active. llm-action: 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 litellm and llm-action?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litellm trust report; llm-action trust report.