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207 tools · 25 stacks

AI tools are all over the place. This is the full landscape — 207 tools across 17 categories, mapped and connected. Ready to narrow it down? Build your stack →

Team size

Budget

Use case

Stage

Cluster

Stack Layers
What are you building and how is it defined?
How do you write and ship code?
How does your AI think and act?
Which models and infrastructure power it?
How do you build, observe, and extend it?
These tools competes with
Helicone
vs
Traceloop

Choose Helicone when…

  • •You want one-line LLM observability setup
  • •Caching LLM responses to cut costs matters
  • •You're an early-stage startup optimizing quickly

Choose Traceloop when…

  • •You want OpenTelemetry-native LLM observability
  • •Vendor-neutral tracing that plugs into your existing stack
  • •You need observability across many LLM providers
Field
Helicone
Traceloop
Category
LLM Infrastructure
Prompt & Eval
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
Pro: Usage-based
Cloud: Usage-based
Stars
⭐ 2,500
⭐ 2,000
Health
●80 — Active
●75 — Active
Trajectory
— not enough data
— not enough data
Synced
today
today

Helicone

Open-source LLM observability platform. One-line integration to log every LLM request, track costs, and debug slow or failing calls.

Traceloop

Open-source LLM observability using OpenTelemetry standards. Automatic instrumentation for LangChain, OpenAI, and other frameworks with zero code changes.

Helicone Website ↗GitHub ↗
Traceloop Website ↗GitHub ↗

Shared Connections (1)

Langfuse

Only Helicone (7)

LiteLLMLangSmithArize PhoenixOpenAI APIAnthropic APITraceloopLogfire

Only Traceloop (1)

Helicone
See full comparison in Explore →