Comparison
litellm vs text-generation-inference
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 text-generation-inference if text-generation-inference.
Markdown twin · litellm alternatives · text-generation-inference alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | litellm | text-generation-inference |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Archived (137d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) 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
- text-generation-inference
- Large Language Model Text Generation Inference
Stars
- litellm
- 55k
- text-generation-inference
- 11k
Forks
- litellm
- 10k
- text-generation-inference
- 1.3k
Open issues
- litellm
- 4.6k
- text-generation-inference
- 324
Language
- litellm
- Python
- text-generation-inference
- 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.
- text-generation-inference
- text-generation-inference
Persona
- litellm
- -
- text-generation-inference
- -
Runtime
- litellm
- -
- text-generation-inference
- -
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.
- text-generation-inference
- Apache-2.0
Last pushed
- litellm
- Aug 1, 2026
- text-generation-inference
- Mar 21, 2026
Categories
- litellm
- Inference & Serving, LLM Frameworks
- text-generation-inference
- Inference & Serving
Trust and health
Maintenance
- litellm
- Very active (96%)
- text-generation-inference
- Archived (8%)
Days since push
- litellm
- 0d
- text-generation-inference
- 137d
Archived on GitHub
- litellm
- No
- text-generation-inference
- Yes
Open issues (now)
- litellm
- 4.6k
- text-generation-inference
- 324
OSV dependency advisories
- litellm
- Published findings
- text-generation-inference
- No lockfile (source not queried)
Full report
- litellm
- Trust report
- text-generation-inference
- Trust report
Typed relationship
litellm alternative text-generation-inferenceLitellm provides an AI Gateway for a wide range of LLMs and competes with text-generation-inference in providing a generalized inference tool.
Choose litellm if…
- License: litellm is Other, text-generation-inference is Apache-2.0.
- Pricing: While the core functionality is provided free, specific extended features might require a paid plan..
- Requirements: Requires Docker.
- Litellm provides an AI Gateway for a wide range of LLMs and competes with text-generation-inference in providing a generalized inference tool.
- Tags unique to litellm: ai-gateway, azure-openai, bedrock, llm.
- Also covers LLM Frameworks.
- 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 text-generation-inference if…
- License: text-generation-inference is Apache-2.0, litellm is Other.
- Pricing: Available under the Apache-2.0 license with a community-maintained open-source model..
- Requirements: Min 4 GB RAM; Requires Docker; NVIDIA GPUs require NVIDIA Container Toolkit and CUDA drivers 12.2 or higher.; AMD ROCm support requires AMD Instinct MI210 or MI250 series with appropriate setup..
- Litellm provides an AI Gateway for a wide range of LLMs and competes with text-generation-inference in providing a generalized inference tool.
- Tags unique to text-generation-inference: bloom, deep-learning, falcon, gpt.
- When you need hardware-accelerated performance on a variety of GPUs including NVIDIA (with CUDA 12.2 or higher), AMD ROCm, Intel GPU, Gaudi, and Google TPU.
When NOT to use text-generation-inference
- When the target hardware lacks GPU support or does not match the supported platforms (e.g., non-NVIDIA GPUs without ROCm setup).
- If you need high-performance on CPUs exclusively, as TGI is designed primarily for GPU acceleration and CPU performance might be subpar.
- For model training tasks; TGI focuses specifically on inference rather than training large language models.
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 (huggingface/text-generation-inference) · observed Aug 6, 2026
- GitHub forks (huggingface/text-generation-inference) · observed Aug 6, 2026
- Last push (huggingface/text-generation-inference) · observed Mar 21, 2026
- License file (Apache-2.0) · observed Aug 6, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: litellm 55k · text-generation-inference 11k (synced Aug 1, 2026).
Common questions
- What is the difference between litellm and text-generation-inference?
- litellm: Python SDK and Proxy Server for calling multiple LLM APIs. text-generation-inference: Large Language Model Text Generation Inference. See the comparison table for live GitHub stats and shared categories.
- When should I choose litellm over text-generation-inference?
- Choose litellm over text-generation-inference when License: litellm is Other, text-generation-inference is Apache-2.0; Pricing: While the core functionality is provided free, specific extended features might require a paid plan.; Requirements: Requires Docker; Litellm provides an AI Gateway for a wide range of LLMs and competes with text-generation-inference in providing a generalized inference tool; Tags unique to litellm: ai-gateway, azure-openai, bedrock, llm; Also covers LLM Frameworks; 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 text-generation-inference over litellm?
- Choose text-generation-inference over litellm when License: text-generation-inference is Apache-2.0, litellm is Other; Pricing: Available under the Apache-2.0 license with a community-maintained open-source model.; Requirements: Min 4 GB RAM; Requires Docker; NVIDIA GPUs require NVIDIA Container Toolkit and CUDA drivers 12.2 or higher.; AMD ROCm support requires AMD Instinct MI210 or MI250 series with appropriate setup.; Litellm provides an AI Gateway for a wide range of LLMs and competes with text-generation-inference in providing a generalized inference tool; Tags unique to text-generation-inference: bloom, deep-learning, falcon, gpt; When you need hardware-accelerated performance on a variety of GPUs including NVIDIA (with CUDA 12.2 or higher), AMD ROCm, Intel GPU, Gaudi, and Google TPU.
- 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 text-generation-inference?
- When the target hardware lacks GPU support or does not match the supported platforms (e.g., non-NVIDIA GPUs without ROCm setup). If you need high-performance on CPUs exclusively, as TGI is designed primarily for GPU acceleration and CPU performance might be subpar. For model training tasks; TGI focuses specifically on inference rather than training large language models.
- Is litellm or text-generation-inference more popular on GitHub?
- litellm has more GitHub stars (55,221 vs 10,888). Stars measure visibility, not whether either tool fits your constraints.
- Are litellm and text-generation-inference open source?
- Yes - both are open-source projects on GitHub (litellm: Other, text-generation-inference: Apache-2.0).
- Where can I find alternatives to litellm or text-generation-inference?
- GraphCanon lists graph-backed alternatives at litellm alternatives and text-generation-inference alternatives (litellm markdown twin, text-generation-inference 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 text-generation-inference?
- litellm: Very active. text-generation-inference: Archived. 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 text-generation-inference?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: litellm trust report; text-generation-inference trust report.