coding.sh compared with other tools
How coding.sh compares with Langfuse, LangSmith, Braintrust, AgentOps, Laminar and ccusage, and when each of them is the better choice.
coding.sh is an MIT-licensed CLI and local viewer for recording AI agents and running evals on them. It captures coding agents such as Claude Code, Codex and Cursor through their hooks, keeps the data on your machine unless you add a sink, and has no hosted cloud.
The tools below overlap with it in different ways, and most do things coding.sh does not. Each page has a feature table and says where the other tool is the better choice. All were checked against each tool's own docs on 7 November 2026 and list their sources. If something is out of date, open an issue.
Summary
| Tool | What it is | Pick it over coding.sh when | Page |
|---|---|---|---|
| Langfuse | Open-source LLM tracing, evals and prompt management; cloud or self-hosted | You run an LLM product in production and want one shared server with prompts, annotation queues and alerts | coding.sh vs Langfuse |
| LangSmith | LangChain's hosted tracing and eval platform | You build on LangChain or LangGraph and want a managed platform with enterprise controls | coding.sh vs LangSmith |
| Braintrust | Hosted eval and observability platform | You want a hosted experiment UI with a playground, review queues and PR comments | coding.sh vs Braintrust |
| AgentOps | Python SDK and hosted dashboard for agent frameworks | You build Python agents on CrewAI, AG2 or the OpenAI Agents SDK and want a hosted dashboard | coding.sh vs AgentOps |
| Laminar | Open-source agent observability with a cloud | You want hosted production analysis of agent traces with alerts and labeling queues | coding.sh vs Laminar |
| ccusage | A CLI that reports coding-agent token cost from local logs | You only want a cost report or a Claude Code status line, with nothing installed | coding.sh vs ccusage |
What coding.sh does that most of them don't
- Runs with no services. One npm package and a SQLite file on your machine. A team server is one
coding.sh serveprocess. See Self-host for a team. - Captures coding agents from their hooks, imports sessions recorded before it was installed, and links subagents to their parent session. See Coding agents.
- Reports statistics on every comparison. Two runs are paired case by case, with a bootstrap interval of the difference and a verdict of better, worse or inconclusive. See Evals.
- Replays a coding session one step at a time with the files each step touched. See Replay a session.
What coding.sh does not do
- No hosted cloud and no SSO or role-based access.
- No online evals on live traffic and no alerts.
- No human annotation queues; human labels are used to calibrate LLM judges.
- No prompt management or playground.
Questions
What is the best open-source alternative to LangSmith or Braintrust?
It depends on what you need. Langfuse and Laminar are open-source platforms with a server and a UI for production apps. coding.sh is open source and local-first, and fits best when the agents you want to watch and test are coding agents on your own machine or your team's.
Can I use coding.sh with one of these tools?
Yes. coding.sh can forward what it records to any OpenTelemetry endpoint with an otlp sink. See sinks.