Comparison
litellm vs FasterTransformer
Verdict
Pick litellm when litellm is primarily Python; FasterTransformer is C++; pick FasterTransformer when fasterTransformer is primarily C++; litellm is Python.
Markdown twin · litellm alternatives · FasterTransformer alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | litellm | FasterTransformer |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Dormant (835d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| Security (OSV) | 2 low (2 low) As of 1d · osv@v1 | No lockfile As of 1d · none |
Tagline
- litellm
- Python SDK and Proxy Server for calling multiple LLM APIs
- FasterTransformer
- Transformer related optimization, including BERT, GPT
Stars
- litellm
- 53k
- FasterTransformer
- 6.4k
Forks
- litellm
- 9.7k
- FasterTransformer
- 936
Open issues
- litellm
- 3.9k
- FasterTransformer
- 289
Language
- litellm
- Python
- FasterTransformer
- 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.
- FasterTransformer
- -
Persona
- litellm
- -
- FasterTransformer
- -
Runtime
- litellm
- -
- FasterTransformer
- -
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.
- FasterTransformer
- Apache-2.0
Last pushed
- litellm
- Jul 11, 2026
- FasterTransformer
- Mar 27, 2024
Categories
- litellm
- Inference & Serving, LLM Frameworks
- FasterTransformer
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- litellm
- Very active (96%)
- FasterTransformer
- Dormant (18%)
Days since push
- litellm
- 0d
- FasterTransformer
- 835d
Open issues (now)
- litellm
- 3.9k
- FasterTransformer
- 289
Security scan
- litellm
- 2 low (2 low)
- FasterTransformer
- No lockfile
Full report
- litellm
- Trust report
- FasterTransformer
- Trust report
Choose litellm if…
- litellm is primarily Python; FasterTransformer is C++.
- License: litellm is Other, FasterTransformer 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 FasterTransformer if…
- FasterTransformer is primarily C++; litellm is Python.
- License: FasterTransformer is Apache-2.0, litellm is Other.
- Tags unique to FasterTransformer: bert, c++, gpt, pytorch.
- Also covers Model Training.
When NOT to use FasterTransformer
- Last GitHub push was 836 days ago (dormant maintenance, Mar 27, 2024). Validate activity before betting a new project on FasterTransformer.
- 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 (NVIDIA/FasterTransformer) · observed Jul 11, 2026
- GitHub forks (NVIDIA/FasterTransformer) · observed Jul 11, 2026
- Last push (NVIDIA/FasterTransformer) · observed Mar 27, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: litellm 53k · FasterTransformer 6.4k (synced Jul 11, 2026).
Common questions
- What is the difference between litellm and FasterTransformer?
- litellm: Python SDK and Proxy Server for calling multiple LLM APIs. FasterTransformer: Transformer related optimization, including BERT, GPT. See the comparison table for live GitHub stats and shared categories.
- When should I choose litellm over FasterTransformer?
- Choose litellm over FasterTransformer when litellm is primarily Python; FasterTransformer is C++; License: litellm is Other, FasterTransformer 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 FasterTransformer over litellm?
- Choose FasterTransformer over litellm when FasterTransformer is primarily C++; litellm is Python; License: FasterTransformer is Apache-2.0, litellm is Other; Tags unique to FasterTransformer: bert, c++, gpt, pytorch; 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 FasterTransformer?
- Last GitHub push was 836 days ago (dormant maintenance, Mar 27, 2024). Validate activity before betting a new project on FasterTransformer. 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 FasterTransformer more popular on GitHub?
- litellm has more GitHub stars (53,271 vs 6,435). Stars measure visibility, not whether either tool fits your constraints.
- Are litellm and FasterTransformer open source?
- Yes - both are open-source projects on GitHub (litellm: Other, FasterTransformer: Apache-2.0).
- Where can I find alternatives to litellm or FasterTransformer?
- GraphCanon lists graph-backed alternatives at litellm alternatives and FasterTransformer alternatives (litellm markdown twin, FasterTransformer 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 FasterTransformer?
- litellm: Very active. FasterTransformer: 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 FasterTransformer?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litellm trust report; FasterTransformer trust report.