The official Python SDK for Sentry.io, enabling error tracking and performance monitoring for Python applications.
Sentry Python SDK is the official client library that connects Python applications to the Sentry error and performance monitoring platform. It automatically captures exceptions, logs, and performance data, helping developers identify, diagnose, and fix software issues faster. The SDK integrates with popular Python frameworks and provides detailed context for debugging.
Python developers and DevOps teams building web applications, APIs, or backend services who need reliable error tracking and performance insights. It's particularly valuable for teams using frameworks like Django, FastAPI, or Celery.
Developers choose Sentry Python SDK for its seamless integration, automatic error capture, and detailed performance monitoring. As the official SDK, it offers first-class support, extensive framework integrations, and reliable data collection that helps reduce debugging time and improve application reliability.
The official Python SDK for Sentry.io
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Captures unhandled exceptions automatically without manual code changes, as shown in the quick usage example where raising ValueError creates an error event.
Seamlessly integrates with popular frameworks like Django, FastAPI, and Celery, as highlighted in the integrations section of the README.
Simple installation via pip and configuration with a DSN, making it quick to deploy, as demonstrated in the basic configuration snippet.
Tracks request durations and performance metrics with configurable sampling rates, such as traces_sample_rate, to identify bottlenecks.
Provides detailed guides for migrating from older versions like 1.x and raven-python, easing the transition to newer features.
Tightly coupled with the Sentry platform, so switching to another monitoring service requires significant code changes and reconfiguration.
Significant upgrades between major versions, such as from 1.x to 2.x, necessitate migration efforts, as admitted in the README's migration section.
Relies on external documentation hosted on Sentry's site, which may not always be synchronized with SDK updates or easily accessible offline.
Enabling full trace sampling (e.g., traces_sample_rate=1.0) can add latency and resource usage, which might impact high-throughput applications.