What is ErrorShip?
It is a Python library that sends exceptions/errors generated by your application to your Datadog account. The exceptions together with their stacktraces are then rendered beatifully with proper syntax highlighting preserved. You can search for exceptions in Datadog using the tags that you had set or via full text search.
ErrorShip is a tool in the Exception Monitoring category of a tech stack.
ErrorShip is an open source tool with GitHub stars and GitHub forks. Here’s a link to ErrorShip's open source repository on GitHub
Why developers like ErrorShip?
Here’s a list of reasons why companies and developers use ErrorShip
Be the first to leave a pro
- No context switching
- No changes in your datadog pricing
- It seamlessly integrates with all your other libraries. It works with django, flask, celery, gunicorn etc
- Compatible with both python2 and python3
- High performance
ErrorShip Alternatives & Comparisons
What are some alternatives to ErrorShip?
See all alternatives
Sentry is an open-source platform for workflow productivity, aggregating errors from across the stack in real time. 500K developers use Sentry to get the code-level context they need to resolve issues at every stage of the app lifecycle.
Production error monitoring and reporting for web applications. TrackJS provides deep insights into real user errors. See the user, network, and application events that tell the story of an error so you can actually fix them.
Rollbar helps development teams find and fix errors faster. Quickly pinpoint what’s broken and why. View exceptions from all of your languages, frameworks, platforms & environments in one place. Get context & insights to defeat all errors.
Bugsnag captures errors from your web, mobile and back-end applications, providing instant visibility into user impact. Diagnostic data and tools are included to help your team prioritize, debug and fix exceptions fast.
Airbrake collects errors for your applications in all major languages and frameworks. We alert you to new errors and give you critical context, trends and details needed to find and fix errors fast.