Comparison
graphrag-rs vs litellm
Verdict
Pick graphrag-rs when graphrag-rs is primarily Rust; litellm is Python; pick litellm when litellm is primarily Python; graphrag-rs is Rust.
Markdown twin · graphrag-rs alternatives · litellm alternatives
GraphCanon updated today
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Trust & integrity
| Signal | graphrag-rs | litellm |
|---|---|---|
| Maintenance | Steady (38d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 2 low (2 low) As of 1d · osv@v1 |
Tagline
- graphrag-rs
- GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from documents and enables natural languag
- litellm
- Python SDK and Proxy Server for calling multiple LLM APIs
Stars
- graphrag-rs
- 518
- litellm
- 53k
Forks
- graphrag-rs
- 47
- litellm
- 9.7k
Open issues
- graphrag-rs
- 0
- litellm
- 3.9k
Language
- graphrag-rs
- Rust
- litellm
- Python
Adopt for
- graphrag-rs
- -
- 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
- graphrag-rs
- -
- litellm
- -
Runtime
- graphrag-rs
- -
- litellm
- -
License
- graphrag-rs
- MIT
- 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
- graphrag-rs
- Jun 2, 2026
- litellm
- Jul 11, 2026
Categories
- graphrag-rs
- Inference & Serving, LLM Frameworks, Vector Databases
- litellm
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- graphrag-rs
- Steady (60%)
- litellm
- Very active (96%)
Days since push
- graphrag-rs
- 38d
- litellm
- 0d
Open issues (now)
- graphrag-rs
- 0
- litellm
- 3.9k
Owner type
- graphrag-rs
- User
- litellm
- Organization
Security scan
- graphrag-rs
- No lockfile
- litellm
- 2 low (2 low)
Full report
- graphrag-rs
- Trust report
- litellm
- Trust report
Choose graphrag-rs if…
- graphrag-rs is primarily Rust; litellm is Python.
- License: graphrag-rs is MIT, litellm is Other.
- Tags unique to graphrag-rs: ai, embeddings, entity-extraction, graphrag.
- Also covers Vector Databases.
When NOT to use graphrag-rs
- 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.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose litellm if…
- litellm is primarily Python; graphrag-rs is Rust.
- License: litellm is Other, graphrag-rs 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, openai.
- 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 (automataIA/graphrag-rs) · observed Jul 11, 2026
- GitHub forks (automataIA/graphrag-rs) · observed Jul 11, 2026
- Last push (automataIA/graphrag-rs) · observed Jun 2, 2026
- License file (MIT) · 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: graphrag-rs 518 · litellm 53k (synced Jul 11, 2026).
Common questions
- What is the difference between graphrag-rs and litellm?
- graphrag-rs: GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from documents and enables natural languag. 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 graphrag-rs over litellm?
- Choose graphrag-rs over litellm when graphrag-rs is primarily Rust; litellm is Python; License: graphrag-rs is MIT, litellm is Other; Tags unique to graphrag-rs: ai, embeddings, entity-extraction, graphrag; Also covers Vector Databases.
- When should I choose litellm over graphrag-rs?
- Choose litellm over graphrag-rs when litellm is primarily Python; graphrag-rs is Rust; License: litellm is Other, graphrag-rs 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, openai; 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 graphrag-rs?
- 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. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- When should I avoid litellm?
- If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill.
- Is graphrag-rs or litellm more popular on GitHub?
- litellm has more GitHub stars (53,271 vs 518). Stars measure visibility, not whether either tool fits your constraints.
- Are graphrag-rs and litellm open source?
- Yes - both are open-source projects on GitHub (graphrag-rs: MIT, litellm: Other).
- Where can I find alternatives to graphrag-rs or litellm?
- GraphCanon lists graph-backed alternatives at graphrag-rs alternatives and litellm alternatives (graphrag-rs 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, graphrag-rs or litellm?
- graphrag-rs: Steady. 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 graphrag-rs and litellm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: graphrag-rs trust report; litellm trust report.