Comparison
litellm vs VideoPipe
Verdict
Pick litellm when litellm is primarily Python; VideoPipe is C++; pick VideoPipe when videoPipe is primarily C++; litellm is Python.
Markdown twin · litellm alternatives · VideoPipe alternatives
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Trust & integrity
| Signal | litellm | VideoPipe |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3d · github_public_v1 | Slowing (140d 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
- VideoPipe
- A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化（视频分析）框架，觉得有帮助的请给个星星 : )
Stars
- litellm
- 53k
- VideoPipe
- 2.9k
Forks
- litellm
- 9.7k
- VideoPipe
- 449
Open issues
- litellm
- 3.9k
- VideoPipe
- 4
Language
- litellm
- Python
- VideoPipe
- C++
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.
- VideoPipe
- -
Persona
- litellm
- -
- VideoPipe
- -
Runtime
- litellm
- -
- VideoPipe
- -
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.
- VideoPipe
- Apache-2.0
Last pushed
- litellm
- Jul 11, 2026
- VideoPipe
- Feb 25, 2026
Categories
- litellm
- Inference & Serving, LLM Frameworks
- VideoPipe
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- litellm
- Very active (96%)
- VideoPipe
- Slowing (36%)
Days since push
- litellm
- 0d
- VideoPipe
- 140d
Open issues (now)
- litellm
- 3.9k
- VideoPipe
- 4
Owner type
- litellm
- Organization
- VideoPipe
- User
OSV dependency advisories
- litellm
- Published findings
- VideoPipe
- No lockfile (source not queried)
Full report
- litellm
- Trust report
- VideoPipe
- Trust report
Choose litellm if…
- litellm is primarily Python; VideoPipe is C++.
- License: litellm is Other, VideoPipe 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 VideoPipe if…
- VideoPipe is primarily C++; litellm is Python.
- License: VideoPipe is Apache-2.0, litellm is Other.
- Tags unique to VideoPipe: ai, behaviour-analysis, cv, deep-learning.
- Also covers Model Training.
When NOT to use VideoPipe
- Last GitHub push was 140 days ago (slowing maintenance, Feb 25, 2026). Validate activity before betting a new project on VideoPipe.
- 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.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
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 (sherlockchou86/VideoPipe) · observed Jul 15, 2026
- GitHub forks (sherlockchou86/VideoPipe) · observed Jul 15, 2026
- Last push (sherlockchou86/VideoPipe) · observed Feb 25, 2026
- License file (Apache-2.0) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: litellm 53k · VideoPipe 2.9k (synced Jul 11, 2026).
Common questions
- What is the difference between litellm and VideoPipe?
- litellm: Python SDK and Proxy Server for calling multiple LLM APIs. VideoPipe: A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化（视频分析）框架，觉得有帮助的请给个星星 : ). See the comparison table for live GitHub stats and shared categories.
- When should I choose litellm over VideoPipe?
- Choose litellm over VideoPipe when litellm is primarily Python; VideoPipe is C++; License: litellm is Other, VideoPipe 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 VideoPipe over litellm?
- Choose VideoPipe over litellm when VideoPipe is primarily C++; litellm is Python; License: VideoPipe is Apache-2.0, litellm is Other; Tags unique to VideoPipe: ai, behaviour-analysis, cv, deep-learning; Also covers Model Training.
- 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 VideoPipe?
- Last GitHub push was 140 days ago (slowing maintenance, Feb 25, 2026). Validate activity before betting a new project on VideoPipe. 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. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- Is litellm or VideoPipe more popular on GitHub?
- litellm has more GitHub stars (53,271 vs 2,870). Stars measure visibility, not whether either tool fits your constraints.
- Are litellm and VideoPipe open source?
- Yes - both are open-source projects on GitHub (litellm: Other, VideoPipe: Apache-2.0).
- Where can I find alternatives to litellm or VideoPipe?
- GraphCanon lists graph-backed alternatives at litellm alternatives and VideoPipe alternatives (litellm markdown twin, VideoPipe 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 VideoPipe?
- litellm: Very active. VideoPipe: Slowing. 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 VideoPipe?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litellm trust report; VideoPipe trust report.