Stoplight vs. WSO2 Developer Platform

API mocking, testing, and sharing are all built in functions for StopLight that work quite well. They even have functionality for generating OAI and RAML code as well, which is a huge plus. AS for as areas where StopLight is not appropriate, if you're doing anything other than API testing, StopLight may not be appropriate for use.

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While you are developing your code, my case is codes for bots, you'll have more power and if you have an API ally that shows forecasts of latencies and throughputs: Choreo by WS02 is that friend. It is very ideal in giving insights on intelligent data mapping, code anomalies as you develop the codes or applications.

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• OpenAPI support
• Markdown supports
• Git integration

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• Provides feedback in real time which sorts most of the API performance challenges.
• Displays the estimated application performance as you compose your code.

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• Simplicity of set up. Although it's not difficult, there are tools out there that are easier to set up for testing endpoints.
• Again, it's perfectly functional, but some competitors I think have a more user friendly UI to them.

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• Latency curves may be inaccurate sometimes or provide over/under estimates

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

I'd like to also throw Runscope and Fiddler into the mix. Between StopLight and all these competitors, we've chosen StopLight primarily for the support, ease of use, and reliability. Most tools out there today are top-notch, so it really comes down to personal preference and different use-cases. Having used other API testing frameworks, StopLight definitely stacks up against the competition.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Increased efficiency
• Improved comminication between backeend and frontend

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• over 90 percent accuracy in performance prediction of bots under development
• It's possible to trace on faulty codes, down to the machine-level details.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info