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Comparison

litellm vs text-generation-inference

litellm (LiteLLM AI Gateway: Open Source AI Gateway for 100+ LLMs) vs text-generation-inference (Large Language Model Text Generation Inference) - live GitHub stats and typed graph relationships, not marketing.

Markdown twin · litellm alternatives · text-generation-inference alternatives

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litellm

BerriAI/litellm

★ 53kpushed Jul 8, 2026

text-generation-inference

huggingface/text-generation-inference

★ 11kpushed Mar 21, 2026

Tagline

litellm: LiteLLM AI Gateway: Open Source AI Gateway for 100+ LLMs
text-generation-inference: Large Language Model Text Generation Inference

Stars

litellm: 53k
text-generation-inference: 11k

Forks

litellm: 9.6k
text-generation-inference: 1.3k

Open issues

litellm: 3.7k
text-generation-inference: 324

Language

litellm: Python
text-generation-inference: Python

Adopt for

litellm: LiteLLM provides an open-source AI gateway for over 100 LLMs, integrating them via OpenAI format and offering features like cost tracking, guardrails, load balancing, and logging.
text-generation-inference: Text Generation Inference (TGI) is a highly optimized deployment and serving toolkit for Large Language Models, maintained by Hugging Face to power services like Hugging Chat. It supports various model architectures with

Persona

litellm: -
text-generation-inference: -

Runtime

litellm: -
text-generation-inference: -

License

litellm: The specific license details are categorized as 'Other', indicating it's neither a standard open-source license like MIT, Apache 2.0 nor GPL. It’s crucial to check the precise licensing terms directly
text-generation-inference: Apache-2.0 - The Apache License, Version 2.0 is a permissive free software license written by the Apache Software Foundation. It ensures that permission is granted for anyone to use, modify and distribute any of T

Last pushed

litellm: Jul 8, 2026
text-generation-inference: Mar 21, 2026

Categories

litellm: Inference & Serving
text-generation-inference: Model Training, Inference & Serving

Trust and health

Maintenance

litellm: Very active (96%)
text-generation-inference: Archived (8%)

Days since push

litellm: 0d
text-generation-inference: 108d

Archived on GitHub

litellm: No
text-generation-inference: Yes

Open issues (now)

litellm: 3.7k
text-generation-inference: 324

Security scan

litellm: 2 low (2 low)
text-generation-inference: No lockfile

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.

Shared compatibility

Python · litellm: Python runtime · text-generation-inference: Python runtime

Trust and health
	litellm	text-generation-inference
Tagline	LiteLLM AI Gateway: Open Source AI Gateway for 100+ LLMs	Large Language Model Text Generation Inference
Stars	53k	11k
Forks	9.6k	1.3k
Open issues	3.7k	324
Language	Python	Python
Adopt for	LiteLLM provides an open-source AI gateway for over 100 LLMs, integrating them via OpenAI format and offering features like cost tracking, guardrails, load balancing, and logging.	Text Generation Inference (TGI) is a highly optimized deployment and serving toolkit for Large Language Models, maintained by Hugging Face to power services like Hugging Chat. It supports various model architectures with
Persona	-	-
Runtime	-	-
License	The specific license details are categorized as 'Other', indicating it's neither a standard open-source license like MIT, Apache 2.0 nor GPL. It’s crucial to check the precise licensing terms directly	Apache-2.0 - The Apache License, Version 2.0 is a permissive free software license written by the Apache Software Foundation. It ensures that permission is granted for anyone to use, modify and distribute any of T
Last pushed	Jul 8, 2026	Mar 21, 2026
Categories	Inference & Serving	Model Training, Inference & Serving
Maintenance	Very active (96%)	Archived (8%)
Days since push	0d	108d
Archived on GitHub	No	Yes
Open issues (now)	3.7k	324
Security scan	2 low (2 low)	No lockfile
Full report	Trust report	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.
Shared compatibility	Python · litellm: Python runtime · text-generation-inference: Python runtime

Choose litellm if…

License: litellm is Other, text-generation-inference is Apache-2.0.
Requirements: Min 4 GB RAM; - Requires Python for installation and operation.; - Supports deployment as a standalone application or integrated into larger applications via library calls..
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: llmops, rust, bedrock, ai-gateway.
- You require a unified interface to integrate multiple LLM providers (OpenAI, Anthropic, Bedrock, Azure, etc.) using the OpenAI format.

When NOT to use litellm

- If your application only needs to integrate with a single LLM provider that does not require the OpenAI standard interface.
- Your project prioritizes proprietary or closed-source solutions; LiteLLM is open source and may lack some commercial support or enterprise-grade add-ons available in paid alternatives.

GitHub Details

Choose text-generation-inference if…

License: text-generation-inference is Apache-2.0, litellm is Other.
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: deep-learning, nlp, falcon, starcoder.
Also covers Model Training.
TGI is ideal when high-performance text generation from popular LLMs is required in production environments.

When NOT to use text-generation-inference

Avoid using TGI if you require extensive model training capabilities, as it primarily focuses on serving pre-trained models and minor optimizations.
Do not use TGI if the project is focused on utilizing bleeding-edge features that have moved forward to dedicated projects like vllm or SGLang suggested by Hugging Face.

GitHub Details

Explore

litellm trust report →text-generation-inference trust report →Inference & Serving category →Model Training category →All comparisons Stack workflows Trending tools

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Common questions

What is the difference between litellm and text-generation-inference?: litellm: LiteLLM AI Gateway: Open Source AI Gateway for 100+ LLMs. 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; Requirements: Min 4 GB RAM; - Requires Python for installation and operation.; - Supports deployment as a standalone application or integrated into larger applications via library calls.; 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: llmops, rust, bedrock, ai-gateway; - You require a unified interface to integrate multiple LLM providers (OpenAI, Anthropic, Bedrock, Azure, etc.) using the OpenAI format.
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; 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: deep-learning, nlp, falcon, starcoder; Also covers Model Training; TGI is ideal when high-performance text generation from popular LLMs is required in production environments.
When should I avoid litellm?: - If your application only needs to integrate with a single LLM provider that does not require the OpenAI standard interface. - Your project prioritizes proprietary or closed-source solutions; LiteLLM is open source and may lack some commercial support or enterprise-grade add-ons available in paid alternatives.
When should I avoid text-generation-inference?: Avoid using TGI if you require extensive model training capabilities, as it primarily focuses on serving pre-trained models and minor optimizations. Do not use TGI if the project is focused on utilizing bleeding-edge features that have moved forward to dedicated projects like vllm or SGLang suggested by Hugging Face.
Is litellm or text-generation-inference more popular on GitHub?: litellm has more GitHub stars (52,933 vs 10,868). 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 /tools/berriai-litellm/alternatives and /tools/huggingface-text-generation-inference/alternatives (/tools/berriai-litellm/alternatives.md, /tools/huggingface-text-generation-inference/alternatives.md), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?: Yes. The markdown twin at /compare/berriai-litellm-vs-huggingface-text-generation-inference.md 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: /tools/berriai-litellm/trust; text-generation-inference: /tools/huggingface-text-generation-inference/trust.