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logfire

The best Python observability tool! 🪵🔥

logfire Permissive license MIT Active 4,423 v4.40.0 released

Install

logfire on PyPI

pip

pip install logfire

uv

uv add logfire

poetry

poetry add logfire

Package facts

License MIT (permissive)
Python support supports the current Python release (>=3.10)
Install friction low — pure-Python wheel
Runtime dependencies 8 — executing, opentelemetry-exporter-otlp-proto-http, opentelemetry-instrumentation, opentelemetry-sdk, protobuf, rich, tomli, typing-extensions
Maintenance actively maintained — 8 days since the last release
Last repo commit
First released
Popularity one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities none known (OSV.dev, checked 2026-08-13)

Evidence: logfire-4.40.0-py3-none-any.whl

Development Status :: 5 - Production/StableEnvironment :: ConsoleEnvironment :: MacOS XFramework :: OpenTelemetryFramework :: OpenTelemetry :: DistrosFramework :: OpenTelemetry :: ExportersFramework :: OpenTelemetry :: InstrumentationsIntended Audience :: DevelopersIntended Audience :: Information TechnologyIntended Audience :: System AdministratorsOperating System :: POSIX :: LinuxOperating System :: UnixProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: InternetTopic :: Software Development :: Libraries :: Python Modules

About logfire

from the package's own PyPI description — quoted content, verbatim

Pydantic Logfire: Know more. Build faster.

<p align="center"> <a href="https://github.com/pydantic/logfire/actions?query=event%3Apush+branch%3Amain+workflow%3ACI"><img src="https://github.com/pydantic/logfire/actions/workflows/main.yml/badge.svg?event=push" alt="CI" /></a> <a href="https://codecov.io/gh/pydantic/logfire"><img src="https://codecov.io/gh/pydantic/logfire/graph/badge.svg?token=735CNGCGFD" alt="codecov" /></a> <a href="https://pypi.python.org/pypi/logfire"><img src="https://img.shields.io/pypi/v/logfire.svg" alt="pypi" /></a> <a href="https://github.com/pydantic/logfire/blob/main/LICENSE"><img src="https://img.shields.io/github/license/pydantic/logfire.svg" alt="license" /></a> <a href="https://github.com/pydantic/logfire"><img src="https://img.shields.io/pypi/pyversions/logfire.svg" alt="versions" /></a> <a href="https://pydantic.dev/docs/logfire/join-slack/"><img src="https://img.shields.io/badge/Slack-Join%20Slack-4A154B?logo=slack" alt="Join Slack" /></a> </p>

From the team behind Pydantic Validation, Pydantic Logfire is an observability platform built on the same belief as our open-source library: that the most powerful tools can be easy to...

Read as markdown · JSON record · Source repository · Homepage · Docs

AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

Logfire is an observability platform that provides Python-centric tracing, logging, and metrics collection with an OpenTelemetry foundation, enabling manual instrumentation or automatic integration with popular frameworks.

Low friction: pure Python wheel with 8 runtime dependencies including opentelemetry-sdk and protobuf. Actively maintained with a release 8 days ago. Requires Python 3.10+.

MIT license permits unrestricted use, modification, and distribution in both open and closed source projects, with no copyleft obligations.

Usage

pip install logfire

import logfire
logfire.configure()
logfire.info('Hello, {name}!', name='world')

with logfire.span('operation'):
    # your code here
    pass

Requires Python 3.10 or later. Authentication via 'logfire auth' command needed to send data to the Logfire platform.

Verdict: Logfire is a production-ready, actively maintained observability tool with zero known vulnerabilities. Its MIT license and low install friction make it accessible; the 8 OpenTelemetry-based dependencies are standard for this class of tool. Best suited for teams wanting Python-native observability with optional managed backend or OTel-compatible alternatives.

Needs verification

  • Whether the managed Logfire platform has usage-based pricing or free tier limits affecting adoption cost
  • Performance overhead of automatic instrumentation on high-throughput applications
  • Data retention and compliance certifications for the closed-source backend platform
python observability platformopentelemetry wrapperdistributed tracing loggingapplication monitoringstructured logging telemetrypython instrumentationobservability dashboard

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