Comparison
litellm vs colab-llm
Verdict
Pick litellm when litellm is primarily Python; colab-llm is Jupyter Notebook; pick colab-llm when colab-llm is primarily Jupyter Notebook; litellm is Python.
Markdown twin · litellm alternatives · colab-llm alternatives
GraphCanon updated today
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Trust & integrity
| Signal | litellm | colab-llm |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3d · github_public_v1 | Dormant (456d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3d · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| OSV dependency advisories | Published findings As of 4d · osv@v1 | No lockfile (source not queried) As of today · 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
- colab-llm
- This repository provides a ready-to-use Google Colab notebook that turns Colab into a temporary server for running local LLM models using Ollama. It exposes the model API via a secure Cloudflare tunne
Stars
- litellm
- 53k
- colab-llm
- 129
Forks
- litellm
- 9.7k
- colab-llm
- 36
Open issues
- litellm
- 3.9k
- colab-llm
- 2
Language
- litellm
- Python
- colab-llm
- Jupyter Notebook
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.
- colab-llm
- -
Persona
- litellm
- -
- colab-llm
- -
Runtime
- litellm
- -
- colab-llm
- -
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.
- colab-llm
- -
Last pushed
- litellm
- Jul 11, 2026
- colab-llm
- Apr 14, 2025
Categories
- litellm
- Inference & Serving, LLM Frameworks
- colab-llm
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- litellm
- Very active (96%)
- colab-llm
- Dormant (18%)
Days since push
- litellm
- 0d
- colab-llm
- 456d
Open issues (now)
- litellm
- 3.9k
- colab-llm
- 2
Owner type
- litellm
- Organization
- colab-llm
- User
OSV dependency advisories
- litellm
- Published findings
- colab-llm
- No lockfile (source not queried)
Full report
- litellm
- Trust report
- colab-llm
- Trust report
Choose litellm if…
- litellm is primarily Python; colab-llm 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: 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 colab-llm if…
- colab-llm is primarily Jupyter Notebook; litellm is Python.
- Tags unique to colab-llm: colab, jupyter-notebook, local-llm, ollama.
- Leaner open-issue backlog (2).
When NOT to use colab-llm
- Last GitHub push was 456 days ago (dormant maintenance, Apr 14, 2025). Validate activity before betting a new project on colab-llm.
- 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.
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 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 (enescingoz/colab-llm) · observed Jul 15, 2026
- GitHub forks (enescingoz/colab-llm) · observed Jul 15, 2026
- Last push (enescingoz/colab-llm) · observed Apr 14, 2025
- License file (unknown) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: litellm 53k · colab-llm 129 (synced Jul 11, 2026).
Common questions
- What is the difference between litellm and colab-llm?
- litellm: Python SDK and Proxy Server for calling multiple LLM APIs. colab-llm: This repository provides a ready-to-use Google Colab notebook that turns Colab into a temporary server for running local LLM models using Ollama. It exposes the model API via a secure Cloudflare tunne. See the comparison table for live GitHub stats and shared categories.
- When should I choose litellm over colab-llm?
- Choose litellm over colab-llm when litellm is primarily Python; colab-llm 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: 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 colab-llm over litellm?
- Choose colab-llm over litellm when colab-llm is primarily Jupyter Notebook; litellm is Python; Tags unique to colab-llm: colab, jupyter-notebook, local-llm, ollama; Leaner open-issue backlog (2).
- 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 colab-llm?
- Last GitHub push was 456 days ago (dormant maintenance, Apr 14, 2025). Validate activity before betting a new project on colab-llm. 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.
- Is litellm or colab-llm more popular on GitHub?
- litellm has more GitHub stars (53,271 vs 129). Stars measure visibility, not whether either tool fits your constraints.
- Are litellm and colab-llm open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to litellm or colab-llm?
- GraphCanon lists graph-backed alternatives at litellm alternatives and colab-llm alternatives (litellm markdown twin, colab-llm 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 colab-llm?
- litellm: Very active. colab-llm: 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 colab-llm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litellm trust report; colab-llm trust report.