helicone vs otari
LLM gateways and operations compared
helicone combines LLM observability with a gateway for routing requests across providers. otari focuses on a self-hostable gateway, adding virtual keys, budget controls, and usage tracking for teams operating their own AI stack.
helicone: Monitor and Route LLM Requests
Helicone is a TypeScript platform for observing LLM requests and routing them across model providers. It helps AI teams inspect traces, track cost and latency, manage prompts, and self-host the observability stack.
otari: Run an OpenAI-Compatible LLM Gateway
Otari is Mozilla AI’s self-hostable LLM gateway, using any-llm to route OpenAI- and Anthropic-compatible requests to providers through one endpoint. It adds virtual keys, budgets, routing policies, and usage tracking for teams operating their own AI stack.
| helicone | otari | |
|---|---|---|
| Language | TypeScript | Python |
| License | Apache-2.0 | Apache-2.0 |
| Stars | 6.2k | 660 |
| Forks | 683 | 83 |
| Last analyzed | Oct 7, 2026 | Oct 19, 2026 |
Key differences
- helicone emphasizes inspecting requests, traces, and sessions, along with cost and latency monitoring; otari emphasizes gateway access controls, budgets, and usage records.
- helicone routes to more than 100 models and offers prompt testing and versioning; otari routes to more than 40 providers and supports routing policies such as failover and weighting.
- helicone is written in TypeScript and requires Node.js 20 or later; otari is written in Python and requires Python 3.13 or newer for direct development or installation.
- Both use the Apache-2.0 license. helicone can be self-hosted with Docker Compose and documents a multi-component stack; otari offers Docker deployment, with PostgreSQL in its Compose setup for persistent storage.
- helicone has 6.2k stars and 683 forks and has had no release in over a year; otari has 660 stars and 83 forks and is described as young, with frequent commits and releases.
- helicone supports a hosted service as well as self-hosting observability components; otari can run as a standalone gateway, connect a data plane to otari.ai, or use a hybrid setup.
Choose helicone if you…
- need to inspect LLM traces and sessions or monitor cost and latency.
- want prompt testing, versioning, and deployment alongside gateway routing.
- need observability components that can be self-hosted or want to use a hosted service.
Choose otari if you…
- need virtual keys, budget checks, and usage tracking in a self-hosted gateway.
- want OpenAI- and Anthropic-compatible endpoints with routing policies across providers.
- plan to connect an operated gateway as a data plane to otari.ai or use a hybrid setup.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.