Open Source Honeycomb Alternatives
A curated collection of the 2 best open source alternatives to Honeycomb.
The best open source alternative to Honeycomb is Logfire. If that doesn't suit you, we've compiled a ranked list of other open source Honeycomb alternatives to help you find a suitable replacement. Other interesting open source alternative to Honeycomb is Maple.
Honeycomb alternatives are mainly Monitoring & Observability. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Honeycomb.
Observability platform from the Pydantic team that wraps OpenTelemetry with Python-centric tracing and lets you query telemetry using standard SQL.
From the team behind Pydantic Validation, Logfire is an observability platform built on the same belief as that library, that a tool doing serious work can still be easy to use. This repository holds the Python SDK and the documentation.
Logfire is an opinionated wrapper around OpenTelemetry with full support for traces, metrics and logs, so existing OTel tooling, infrastructure and instrumentation keep working and the SDK can export to any OTel-compatible backend. Getting started is a pip install and an auth command, after which you write manual spans or instrument a package such as FastAPI in one call.
What sets it apart is a lean toward Python and SQL.
- Python-centric insights: rich display of Python objects, event-loop telemetry, and profiling of Python code and database queries.
- Standard SQL: query your data with SQL, which also opens it to existing BI tools and database libraries.
- Pydantic integration: see the data flowing through your validation models, with built-in analytics on validations.
- Dashboard: kept simple relative to what it exposes, on the theory that a team only uses a tool it can read.
- Other languages: SDKs exist for TypeScript and Rust, and the OpenTelemetry foundation extends support to virtually any language.
One boundary is worth knowing before adopting it. The SDKs are open source, but the server application that records and displays the data is closed source, and self-hosting that platform requires buying an enterprise license. The documentation also covers what Logfire does for LLM apps and agents, and for running evaluations in production.
Maple is an OpenTelemetry observability platform for traces, logs, and metrics, aimed at teams that want to run their own telemetry stack.
Maple collects traces, logs, and metrics through OpenTelemetry and stores them in ClickHouse. The point is a single place to look when a request goes wrong, without the instrumentation being tied to a vendor that owns the query language it is read with.
The repository is a Bun monorepo. A TanStack Router single-page application serves the dashboard, an Effect-based HTTP API sits behind it carrying an MCP server and AI triage, a separate OTLP ingest gateway handles key authentication and organization enrichment before forwarding to a collector, and an alerting worker evaluates rules on a cron schedule. Shared packages hold the HTTP contracts, the query engine, and UI primitives, while application state lives in PostgreSQL.
The choices to make up front are how it runs and how people sign in.
- Local binary: a Homebrew install and one start command bring up OTLP ingest, embedded ClickHouse, and the dashboard together.
- Docker Compose: the multi-service stack of API, web, ingest, and OTEL collector on local ports.
- Cloudflare Workers: deployment through Alchemy, with PlanetScale Postgres reached over Hyperdrive.
- Clerk auth: organizations come from a Clerk application, with optional networkless token verification.
- Self-hosted auth: a single root password issues bearer sessions valid for twelve hours, capped at seven days from sign-in.
Ingest keys are managed per organization and can be rerolled independently, with private keys encrypted at rest and looked up through non-reversible HMAC hashes. Bun 1.3 or later is the only prerequisite for the code, and a native SwiftUI iOS client lives in the same repository.
