Crashlytics vs Fabric: What are the differences?
Crashlytics: The world's most powerful, yet lightest weight crash reporting solution. Free for everybody. Instead of just showing you the stack trace, Crashlytics performs deep analysis of each and every thread. We de-prioritize lines that don't matter while highlighting the interesting ones. This makes reading stack traces easier, faster, and far more useful! Crashlytics' intelligent grouping can take 50,000 crashes, distill them down to 20 unique issues, and then tell you which 3 are the most important to fix; Fabric: Simple, Pythonic remote execution and deployment. Fabric is a Python (2.5-2.7) library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks It provides a basic suite of operations for executing local or remote shell commands (normally or via sudo) and uploading/downloading files, as well as auxiliary functionality such as prompting the running user for input, or aborting execution..
Crashlytics and Fabric are primarily classified as "Mobile Error Monitoring" and "Server Configuration and Automation" tools respectively.
"Crash tracking" is the top reason why over 74 developers like Crashlytics, while over 19 developers mention "Python" as the leading cause for choosing Fabric.
Fabric is an open source tool with 11.4K GitHub stars and 1.73K GitHub forks. Here's a link to Fabric's open source repository on GitHub.
9GAG, Yelp, and PayPal are some of the popular companies that use Crashlytics, whereas Fabric is used by Instagram, Coursera, and Vine Labs. Crashlytics has a broader approval, being mentioned in 352 company stacks & 69 developers stacks; compared to Fabric, which is listed in 147 company stacks and 38 developer stacks.
What is Crashlytics?
What is Fabric?
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What are the cons of using Crashlytics?
What are the cons of using Fabric?
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We use Fabric for automating deployment and maintenance tasks: bootstrapping and updating application servers (using the "rolling update" pattern), pulling logs from the servers, running manage.py maintenance commands.
Automate everything! I have fabfiles for testing, bootstrapping, deployment, and building. Easy to customize and its pure python.
Crashlytics is intended to track issues and crashes sent from the test and the distribution application builds.