Comparison
litellm vs dolly
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 dolly if dolly is a large language model that can be used for response generation and training, available through Hugging Face and the Databricks Machine Learning Platform.
Markdown twin · litellm alternatives · dolly alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | litellm | dolly |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Dormant (1127d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | Published findings 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
- litellm
- Python SDK and Proxy Server for calling multiple LLM APIs
- dolly
- Large language model for response generation and training
Stars
- litellm
- 55k
- dolly
- 11k
Forks
- litellm
- 10k
- dolly
- 1.1k
Open issues
- litellm
- 4.6k
- dolly
- 6
Language
- litellm
- Python
- dolly
- Python
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.
- dolly
- Dolly is a large language model that can be used for response generation and training, available through Hugging Face and the Databricks Machine Learning Platform.
Persona
- litellm
- -
- dolly
- -
Runtime
- litellm
- -
- dolly
- -
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.
- dolly
- Apache-2.0
Last pushed
- litellm
- Aug 1, 2026
- dolly
- Jun 30, 2023
Categories
- litellm
- Inference & Serving, LLM Frameworks
- dolly
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- litellm
- Very active (96%)
- dolly
- Dormant (18%)
Days since push
- litellm
- 0d
- dolly
- 1127d
Open issues (now)
- litellm
- 4.6k
- dolly
- 6
Full report
- litellm
- Trust report
- dolly
- Trust report
Choose litellm if…
- License: litellm is Other, dolly 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 dolly if…
- License: dolly is Apache-2.0, litellm is Other.
- Tags unique to dolly: chatbot, databricks, dolly.
- If your project requires a robust pre-trained model available via Hugging Face to quickly generate responses without extensive setup or training processes.
When NOT to use dolly
- If your project requires a local deployment model that does not involve cloud-based tools, as Dolly's optimal use case involves integration with the Databricks platform.
- In instances where immediate access to GPUs is constrained or expensive in your region, since Dolly training and inference are optimized for GPU processing environments.
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 (databrickslabs/dolly) · observed Aug 1, 2026
- GitHub forks (databrickslabs/dolly) · observed Aug 1, 2026
- Last push (databrickslabs/dolly) · observed Jun 30, 2023
- License file (Apache-2.0) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: litellm 55k · dolly 11k (synced Aug 1, 2026).
Common questions
- What is the difference between litellm and dolly?
- litellm: Python SDK and Proxy Server for calling multiple LLM APIs. dolly: Large language model for response generation and training. See the comparison table for live GitHub stats and shared categories.
- When should I choose litellm over dolly?
- Choose litellm over dolly when License: litellm is Other, dolly 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 dolly over litellm?
- Choose dolly over litellm when License: dolly is Apache-2.0, litellm is Other; Tags unique to dolly: chatbot, databricks, dolly; If your project requires a robust pre-trained model available via Hugging Face to quickly generate responses without extensive setup or training processes.
- 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 dolly?
- If your project requires a local deployment model that does not involve cloud-based tools, as Dolly's optimal use case involves integration with the Databricks platform. In instances where immediate access to GPUs is constrained or expensive in your region, since Dolly training and inference are optimized for GPU processing environments.
- Is litellm or dolly more popular on GitHub?
- litellm has more GitHub stars (55,221 vs 10,805). Stars measure visibility, not whether either tool fits your constraints.
- Are litellm and dolly open source?
- Yes - both are open-source projects on GitHub (litellm: Other, dolly: Apache-2.0).
- Where can I find alternatives to litellm or dolly?
- GraphCanon lists graph-backed alternatives at litellm alternatives and dolly alternatives (litellm markdown twin, dolly 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 dolly?
- litellm: Very active. dolly: 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 dolly?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litellm trust report; dolly trust report.