Comparison
lanarky vs litellm
Verdict
Pick lanarky if lanarky, a deprecated Python-based framework for building LLM microservices with FastAPI, offers streamlined development but comes with caveats related to its deprecated status; 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 · lanarky alternatives · litellm alternatives
GraphCanon updated today
Trust & integrity
| Signal | lanarky | litellm |
|---|---|---|
| Maintenance | Dormant (775d since push) As of today · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- lanarky
- A web framework for building LLM microservices (deprecated)
- litellm
- Python SDK and Proxy Server for calling multiple LLM APIs
Stars
- lanarky
- 990
- litellm
- 55k
Forks
- lanarky
- 76
- litellm
- 10k
Open issues
- lanarky
- 10
- litellm
- 4.6k
Language
- lanarky
- Python
- litellm
- Python
Adopt for
- lanarky
- Lanarky, a deprecated Python-based framework for building LLM microservices with FastAPI, offers streamlined development but comes with caveats related to its deprecated status.
- 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
- lanarky
- -
- litellm
- -
Runtime
- lanarky
- -
- litellm
- -
License
- lanarky
- Lanarky is released under the MIT License, allowing free usage, modification, and distribution but with no warranty.
- 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
- lanarky
- Jul 6, 2024
- litellm
- Aug 1, 2026
Categories
- lanarky
- Inference & Serving, LLM Frameworks
- litellm
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- lanarky
- Dormant (18%)
- litellm
- Very active (96%)
Days since push
- lanarky
- 775d
- litellm
- 0d
Open issues (now)
- lanarky
- 10
- litellm
- 4.6k
Stars delta
- lanarky
- -2 (30d)
- litellm
- Unknown
Open issues delta
- lanarky
- +1 (30d)
- litellm
- Unknown
Owner type
- lanarky
- User
- litellm
- Organization
OSV dependency advisories
- lanarky
- No lockfile (source not queried)
- litellm
- Published findings
Full report
- lanarky
- Trust report
- litellm
- Trust report
Typed relationship
lanarky integrates litellmGiven that LiteLLM by berriai offers an easy way to interface with multiple LLMs, it can be integrated into lanarky to extend its functionality in terms of multi-LLM support.
Choose lanarky if…
- License: lanarky is MIT, litellm is Other.
- Pricing: The library itself is free to use due to its open-source licensing. However, any associated services like OpenAI's `ChatCompletion` may incur costs depending on the service provider’s pricing..
- Requirements: Min 1 GB RAM; Ensure you have Python and Pip installed to utilize Lanarky.; No Docker installation is required; it works with standard Python environments..
- Given that LiteLLM by berriai offers an easy way to interface with multiple LLMs, it can be integrated into lanarky to extend its functionality in terms of multi-LLM support.
- Tags unique to lanarky: fastapi, llmops, microservices, python3.
- - Use if your project requires specific historical compatibility or knowledge of how Lanarky operated in the past.
When NOT to use lanarky
- - Avoid new deployments that rely on active maintenance and updates; opt for actively maintained alternatives like FastAPI directly without Lanarky's now-deprecated layer.
- - Do not use if your application needs modern security patches or features, as the deprecated status signifies no further development or support.
Choose litellm if…
- License: litellm is Other, lanarky is MIT.
- Pricing: While the core functionality is provided free, specific extended features might require a paid plan..
- Requirements: Requires Docker.
- Given that LiteLLM by berriai offers an easy way to interface with multiple LLMs, it can be integrated into lanarky to extend its functionality in terms of multi-LLM support.
- 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 (ajndkr/lanarky) · observed Aug 21, 2026
- GitHub forks (ajndkr/lanarky) · observed Aug 21, 2026
- Last push (ajndkr/lanarky) · observed Jul 6, 2024
- License file (MIT) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: lanarky 990 · litellm 55k (synced Aug 21, 2026).
Common questions
- What is the difference between lanarky and litellm?
- lanarky: A web framework for building LLM microservices (deprecated). 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 lanarky over litellm?
- Choose lanarky over litellm when License: lanarky is MIT, litellm is Other; Pricing: The library itself is free to use due to its open-source licensing. However, any associated services like OpenAI's
ChatCompletionmay incur costs depending on the service provider’s pricing.; Requirements: Min 1 GB RAM; Ensure you have Python and Pip installed to utilize Lanarky.; No Docker installation is required; it works with standard Python environments.; Given that LiteLLM by berriai offers an easy way to interface with multiple LLMs, it can be integrated into lanarky to extend its functionality in terms of multi-LLM support; Tags unique to lanarky: fastapi, llmops, microservices, python3; - Use if your project requires specific historical compatibility or knowledge of how Lanarky operated in the past. - When should I choose litellm over lanarky?
- Choose litellm over lanarky when License: litellm is Other, lanarky is MIT; Pricing: While the core functionality is provided free, specific extended features might require a paid plan.; Requirements: Requires Docker; Given that LiteLLM by berriai offers an easy way to interface with multiple LLMs, it can be integrated into lanarky to extend its functionality in terms of multi-LLM support; 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 lanarky?
- - Avoid new deployments that rely on active maintenance and updates; opt for actively maintained alternatives like FastAPI directly without Lanarky's now-deprecated layer. - Do not use if your application needs modern security patches or features, as the deprecated status signifies no further development or support.
- When should I avoid litellm?
- If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill.
- Is lanarky or litellm more popular on GitHub?
- litellm has more GitHub stars (55,221 vs 990). Stars measure visibility, not whether either tool fits your constraints.
- Are lanarky and litellm open source?
- Yes - both are open-source projects on GitHub (lanarky: MIT, litellm: Other).
- Where can I find alternatives to lanarky or litellm?
- GraphCanon lists graph-backed alternatives at lanarky alternatives and litellm alternatives (lanarky 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, lanarky or litellm?
- lanarky: Dormant. 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 lanarky and litellm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lanarky trust report; litellm trust report.