--- title: "litellm vs DataChad" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/berriai-litellm-vs-gustavz-datachad" tools: ["berriai-litellm", "gustavz-datachad"] --- # litellm vs DataChad *GraphCanon updated Jul 12, 2026* ## Verdict Pick litellm when license: litellm is Other, DataChad is Apache-2.0; pick DataChad when license: DataChad is Apache-2.0, litellm is Other. [litellm](https://docs.litellm.ai/docs/) reports 53k GitHub stars, 9.7k forks, and 3.9k open issues, last pushed Jul 11, 2026. [DataChad](https://datachad.streamlit.app/) has 321 stars, 73 forks, and 8 open issues, last pushed Feb 9, 2024. Figures are from public GitHub metadata via [litellm's repository](https://github.com/BerriAI/litellm) and [DataChad's repository](https://github.com/gustavz/DataChad). | | [litellm](/tools/berriai-litellm.md) | [DataChad](/tools/gustavz-datachad.md) | | --- | --- | --- | | Tagline | Python SDK and Proxy Server for calling multiple LLM APIs | Ask questions about any data source by leveraging langchains | | Stars | 53,271 | 321 | | Forks | 9,671 | 73 | | Open issues | 3,915 | 8 | | Language | Python | Python | | 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. | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [litellm](/tools/berriai-litellm.md) | [DataChad](/tools/gustavz-datachad.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 882d | | Open issues (now) | 3.9k | 8 | | Owner type | Organization | User | | Security scan | 2 low (2 low) | 31 low (31 low) | | Full report | [trust report](/tools/berriai-litellm/trust.md) | [trust report](/tools/gustavz-datachad/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… - License: litellm is Other, DataChad 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. - 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 DataChad if… - License: DataChad is Apache-2.0, litellm is Other. - Tags unique to DataChad: activeloop, chatbot, chatgpt, chatwithanything. - 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 DataChad - Last GitHub push was 884 days ago (dormant maintenance, Feb 9, 2024). Validate activity before betting a new project on DataChad. - 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. ## Common questions ### What is the difference between litellm and DataChad? litellm: Python SDK and Proxy Server for calling multiple LLM APIs. DataChad: Ask questions about any data source by leveraging langchains. See the comparison table for live GitHub stats and shared categories. ### When should I choose litellm over DataChad? Choose litellm over DataChad when License: litellm is Other, DataChad 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; 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 DataChad over litellm? Choose DataChad over litellm when License: DataChad is Apache-2.0, litellm is Other; Tags unique to DataChad: activeloop, chatbot, chatgpt, chatwithanything; 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 DataChad? Last GitHub push was 884 days ago (dormant maintenance, Feb 9, 2024). Validate activity before betting a new project on DataChad. 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. ### Is litellm or DataChad more popular on GitHub? litellm has more GitHub stars (53,271 vs 321). Stars measure visibility, not whether either tool fits your constraints. ### Are litellm and DataChad open source? Yes - both are open-source projects on GitHub (litellm: Other, DataChad: Apache-2.0). ### Where can I find alternatives to litellm or DataChad? GraphCanon lists graph-backed alternatives at [litellm alternatives](/tools/berriai-litellm/alternatives) and [DataChad alternatives](/tools/gustavz-datachad/alternatives) ([litellm markdown twin](/tools/berriai-litellm/alternatives.md), [DataChad markdown twin](/tools/gustavz-datachad/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-gustavz-datachad.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, litellm or DataChad? litellm: Very active. DataChad: 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 DataChad? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [litellm trust report](/tools/berriai-litellm/trust); [DataChad trust report](/tools/gustavz-datachad/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/_