# Helicone

> Open-source LLM observability

Monitor, evaluate and experiment with one line of code.

- Source: https://github.com/Helicone/helicone
- Homepage: https://www.helicone.ai
- License: Apache-2.0
- Language: TypeScript
- Stars: 6199
- Forks: 680
- Contributors: 102
- Last commit: 2026-09-16
- Latest release: v2025.08.21-1 (2025-08-21)
- Purpose: AI & LLM tooling, Evals & observability
- Runs on: Docker / self-host
- For: Personal, Enterprise

## Worth score: 68/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 19/25
- Momentum: 10/20
- Maintenance: 17/25
- Community: 10/15
- Readiness: 12/15

## Alternatives

- [Langfuse](https://diggithub.com/langfuse/langfuse.md): LLM engineering platform: tracing, evals and prompt management
- [Opik](https://diggithub.com/comet-ml/opik.md): Debug, evaluate and monitor LLM apps
- [MLflow](https://diggithub.com/mlflow/mlflow.md): Open-source AI engineering platform
- [Phoenix](https://diggithub.com/Arize-ai/phoenix.md): AI observability and evaluation

---

Source page: https://diggithub.com/Helicone/helicone
Updated: 2026-10-04