Hasura
Universal data access layer for next-gen apps and AI
liteLLM
One library to standardize all LLM APIs
Updated February 2026
| Hasura | liteLLM | |
|---|---|---|
| Rating | 5.0★ | 5.0★ |
| Reviews | 7 | 17 |
| Pros | 0 | 8 |
| FactScore™ | 45.2 | 62.8 |
FactScore™ Comparison
FactScore™ weighs both quality (rating) and popularity (reviews) for a fairer ranking than stars alone.
Pros & Cons
Only in Hasura — Pros
No unique pros listedBoth tools — Pros
—Only in liteLLM — Pros
Support for custom models Caching and load balancing Easy provider switching OpenAI-compatible API Performance analysis integration Standardized API Unified interface for LLMs Versatile API callingOnly in Hasura — Cons
—Both tools — Cons
—Only in liteLLM — Cons
—Details
| Hasura | liteLLM | |
|---|---|---|
| Categories | Unified API, Databases and backend frameworks | Unified API, AI Infrastructure Tools |
| Platforms | Web | Web |
| Became Popular | December 8, 2017 | August 9, 2023 |
| Website | hasura.io | github.com |
Who Should Pick Which?
Choose Hasura if...
- No unique pros listed
Choose liteLLM if...
- Support for custom models
- Caching and load balancing
- Easy provider switching
With a FactScore™ of 45.2 vs 62.8, liteLLM leads in community reception. Hasura uniquely offers No unique pros listed, while liteLLM stands out for Support for custom models and Caching and load balancing.
What Users Say
Hasura
For inspiring the overall approach. It showed that powerful APIs can be built by schema introspection, especially for treating the Postgres schema as a graph. I use the community edition at the mom...
Hasura has significantly accelerated our project development by automating the creation of GraphQL APIs from our databases, allowing us to focus more on core functionalities.
We use Hasura for our backend; it makes it much easier for us to develop APIs and create more connections for our users.
liteLLM
liteLLM is a must for working with different models. We use different models for different tasks and subtasks. With liteLLM the code stays exactly the same and we can just focus on choosing the rig...
Big fan of liteLLM: one API for OpenAI/Anthropic/Groq/etc. Makes multi-model stacks painless
I find myself recommending this library to serious LLM-powered app developers that are trying to standardize their codebase by unifying all the APIs they use. Love it!
Related Comparisons
Frequently Asked Questions
Which is better, Hasura or liteLLM?
Based on FactScore™, liteLLM leads with a score of 62.8 vs 45.2. liteLLM has a higher rating of 5.0★ compared to 5.0★.
What are the pros of Hasura compared to liteLLM?
Hasura uniquely offers: No unique pros listed.
What are the pros of liteLLM compared to Hasura?
liteLLM uniquely offers: Support for custom models, Caching and load balancing, Easy provider switching, OpenAI-compatible API, Performance analysis integration.
Is Hasura better rated than liteLLM?
Hasura is rated 5.0★ from 7 reviews. liteLLM is rated 5.0★ from 17 reviews.
What is the FactScore™ of Hasura and liteLLM?
FactScore™ weighs rating and review volume together. Hasura scores 45.2 and liteLLM scores 62.8.
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