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Decision brief
Helicone is an open-source platform for monitoring and evaluating language models with features specifically designed to facilitate integration and offer detailed observability.
Good fit when
- Use Helicone when you need an open-source solution that can monitor a wide range of LLMs, including more than 100 available through one API.
- Choose Helicone if your project benefits from being part of the YC W23 cohort and seeking advanced prompt engineering analytics.
Avoid when
- Do not use Helicone if you have strict data privacy needs that are better served by fully localized or proprietary observability solutions.
- Avoid using this platform if your project specifically requires real-time integration with a specific model outside of Helicone's extensive but curated list.
Observed Jul 14, 2026 · Source: enrich:decision_facts
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (6,073) are secondary evidence.
- Docker Hub pulls (30d)
- 2,829·Docker Hub API·2d
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 2d
- Provenance
- Not a fork · Organization account
- As of 2d
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install heliconeHow it fits your stack(12)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Relationship graph
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Similar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Helicone is an open-source platform for monitoring and evaluating language models with features for easy integration and observability functions.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 17, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 17, 2026
- MCP server
- No MCP server detected
Source: repo_scan · Aug 17, 2026
- Languages
- typescript, javascript
Source: github.language+package.json · Aug 17, 2026
Categories
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README
Quick Start ⚡️
-
Get your API key by signing up here and add credits at helicone.ai/credits
-
Update the
baseURLin your code and add your API key.import OpenAI from "openai"; const client = new OpenAI({ baseURL: "https://ai-gateway.helicone.ai", apiKey: process.env.HELICONE_API_KEY, }); const response = await client.chat.completions.create({ model: "gpt-4o-mini", // claude-sonnet-4, gemini-2.0-flash or any model from https://www.helicone.ai/models messages: [{ role: "user", content: "Hello!" }] }); -
🎉 You're all set! View your logs at Helicone and access 100+ models through one API.
Self-Hosting Open Source LLM Observability
Docker
Helicone is simple to self-host and update. To get started locally, just use our docker-compose file.
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## License
Helicone is licensed under the [Apache v2.0 License](LICENSE).
For agents
This page has a .md twin and JSON over the API.