--- title: "litellm vs PiSSA" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/berriai-litellm-vs-mulabpku-pissa" tools: ["berriai-litellm", "mulabpku-pissa"] --- # litellm vs PiSSA *GraphCanon updated Jul 11, 2026* ## Verdict Pick litellm when litellm is primarily Python; PiSSA is Jupyter Notebook; pick PiSSA when piSSA is primarily Jupyter Notebook; litellm is Python. [litellm](https://docs.litellm.ai/docs/) reports 53k GitHub stars, 9.7k forks, and 3.9k open issues, last pushed Jul 11, 2026. [PiSSA](https://proceedings.neurips.cc/paper_files/paper/2024/file/db36f4d603cc9e3a2a5e10b93e6428f2-Paper-Conference.pdf) has 429 stars, 22 forks, and 16 open issues, last pushed Jun 30, 2025. Figures are from public GitHub metadata via [litellm's repository](https://github.com/BerriAI/litellm) and [PiSSA's repository](https://github.com/MuLabPKU/PiSSA). | | [litellm](/tools/berriai-litellm.md) | [PiSSA](/tools/mulabpku-pissa.md) | | --- | --- | --- | | Tagline | Python SDK and Proxy Server for calling multiple LLM APIs | PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models(NeurIPS 2024 Spotlight) | | Stars | 53,271 | 429 | | Forks | 9,671 | 22 | | Open issues | 3,915 | 16 | | Language | Python | Jupyter Notebook | | Adopt for | 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 | - | - | | Runtime | - | - | | License | 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. | - | | Categories | LLM Frameworks, Inference & Serving | LLM Frameworks, Vector Databases, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [litellm](/tools/berriai-litellm.md) | [PiSSA](/tools/mulabpku-pissa.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 376d | | Open issues (now) | 3.9k | 16 | | Security scan | 2 low (2 low) | No lockfile | | Full report | [trust report](/tools/berriai-litellm/trust.md) | [trust report](/tools/mulabpku-pissa/trust.md) | ## Decision facts: litellm - **Pricing:** freemium - While the core functionality is provided free, specific extended features might require a paid plan. - **Requirements:** Requires Docker - **Adopt for:** 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. - **License detail:** 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. ## Choose when ### Choose litellm if… - litellm is primarily Python; PiSSA is Jupyter Notebook. - Pricing: While the core functionality is provided free, specific extended features might require a paid plan.. - Requirements: Requires Docker. - Tags unique to litellm: llm, bedrock, ai-gateway, 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 ### Choose PiSSA if… - PiSSA is primarily Jupyter Notebook; litellm is Python. - Tags unique to PiSSA: fine-tuning, jupyter notebook, quantization, peft. - Also covers Vector Databases. ## When NOT to use litellm - If your project only requires interaction with a single LLM API and basic functionalities, litellm may be overkill. ## When NOT to use PiSSA - Last GitHub push was 377 days ago (dormant maintenance, Jun 30, 2025). Validate activity before betting a new project on PiSSA. - 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. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between litellm and PiSSA? litellm: Python SDK and Proxy Server for calling multiple LLM APIs. PiSSA: PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models(NeurIPS 2024 Spotlight). See the comparison table for live GitHub stats and shared categories. ### When should I choose litellm over PiSSA? Choose litellm over PiSSA when litellm is primarily Python; PiSSA is Jupyter Notebook; Pricing: While the core functionality is provided free, specific extended features might require a paid plan.; Requirements: Requires Docker; Tags unique to litellm: llm, bedrock, ai-gateway, 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 choose PiSSA over litellm? Choose PiSSA over litellm when PiSSA is primarily Jupyter Notebook; litellm is Python; Tags unique to PiSSA: fine-tuning, jupyter notebook, quantization, peft; Also covers Vector Databases. ### 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 PiSSA? Last GitHub push was 377 days ago (dormant maintenance, Jun 30, 2025). Validate activity before betting a new project on PiSSA. 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. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is litellm or PiSSA more popular on GitHub? litellm has more GitHub stars (53,271 vs 429). Stars measure visibility, not whether either tool fits your constraints. ### Are litellm and PiSSA open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to litellm or PiSSA? GraphCanon lists graph-backed alternatives at [litellm alternatives](/tools/berriai-litellm/alternatives) and [PiSSA alternatives](/tools/mulabpku-pissa/alternatives) ([litellm markdown twin](/tools/berriai-litellm/alternatives.md), [PiSSA markdown twin](/tools/mulabpku-pissa/alternatives.md)), 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](/compare/berriai-litellm-vs-mulabpku-pissa.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, litellm or PiSSA? litellm: Very active. PiSSA: Dormant. 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 PiSSA? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [litellm trust report](/tools/berriai-litellm/trust); [PiSSA trust report](/tools/mulabpku-pissa/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=berriai-litellm`](/api/graphcanon/graph?tool=berriai-litellm) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_