litellm vs OmniRoute
The two are close in size: 58.1k stars for litellm, 61.4k for OmniRoute. Over the days we have tracked them litellm moved +6.9% and OmniRoute +119.3%, so OmniRoute is growing faster right now.
OmniRoute leads on setup ease. litellm does not take any axis by a clear margin.
Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.
Where they stand today
A lightweight, production-ready self-hosted AI gateway that unifies 100+ LLM providers into a single OpenAI-compatible API with virtual keys, spend tracking, guardrails, and load balancing.
- Stars
- 58.1k
- Tracked growth
- +6.9%
- Maturity
- ●●●●●
- Last commit
- 12m ago
- Language
- Python
- License
- NOASSERTION
- Cost to run
- Self-hosted — your API keys (pay providers)
Provides a single local endpoint that auto-fallbacks across 290+ providers with quota-aware routing and stacked token compression (RTK+Caveman) so you rarely hit limits while saving tokens.
- Stars
- 61.4k
- Tracked growth
- +119.3%
- Maturity
- ●●●●●
- Last commit
- 4h ago
- Language
- TypeScript
- License
- MIT
- Cost to run
- Free to start; includes keyless free providers
Six axes, head to head
Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.
| Axis | litellm | OmniRoute |
|---|---|---|
Context depth How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository. | ●●●●● No repo context | ●●●●● Endpoint only |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● Basic guardrails | ●●●●● Guardrails & evals |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Configurable | ●●●●● Routing combos |
Privacy Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only. | ●●●●● Self-hostable | ●●●●● Self-hostable |
Model freedom Whether you can point it at any provider, or it is wired to one. | ●●●●● Bring-your-own-key | ●●●●● Bring-your-key |
Setup ease What it takes to get a first useful run out of it. | ●●●●● Config + API key | ●●●●● Zero config |
Which one to pick
Pick litellm if…
Unified multi-provider support — use one OpenAI-compatible API to call 100+ LLMs with a self-hosted gateway, virtual keys, and cost tracking.
Pick OmniRoute if…
Easy setup — a fresh install responds out of the box (no API keys) and lets you route across many providers with quota-aware auto-fallback and aggressive token savings.
- Setup ease: Zero config (5/5 against 3/5)
What people want from each one
BerriAI/litellm
diegosouzapw/OmniRoute
- feat(backend): pluggable external durable-state DB backend (PostgreSQL + MySQL) — unified design & demand thread 👍 2
- fix(providers): reasoning effort not shown/configurable on opencode, ollama-cloud and nvidia providers 👍 1
- fix(startup): Electron desktop 'Internal Server Error' on launch (3.8.45 regression) 👍 1
Questions people ask
Is litellm better than OmniRoute?
OmniRoute leads on setup ease. litellm does not take any axis by a clear margin. litellm is worth picking when unified multi-provider support — use one OpenAI-compatible API to call 100+ LLMs with a self-hosted gateway, virtual keys, and cost tracking.
Which of litellm and OmniRoute keeps my code private?
litellm: Self-hostable (4/5). OmniRoute: Self-hostable (4/5).
What does each one cost to run?
litellm: Self-hosted — your API keys (pay providers). OmniRoute: Free to start; includes keyless free providers.
Full profiles: BerriAI/litellm and diegosouzapw/OmniRoute. Everything else in Gateways & routing.