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Schemathesis Alternatives
Similar projects and alternatives to Schemathesis
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pytest
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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Robot Framework
Generic automation framework for acceptance testing and RPA
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drf-openapi-tester
Test utility for validating OpenAPI documentation
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hypothesis
Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
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tox
Command line driven CI frontend and development task automation tool. (by tox-dev)
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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prism
Turn any OpenAPI2/3 and Postman Collection file into an API server with mocking, transformations and validations. (by stoplightio)
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hypothesis-graphql
Generate arbitrary queries matching your GraphQL schema, and use them to verify your backend implementation.
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pytest-recording
A pytest plugin that allows recording network interactions via VCR.py
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json-server
Get a full fake REST API with zero coding in less than 30 seconds (seriously)
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openapi-generator
OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
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SaaSHub
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better Schemathesis alternative or higher similarity.
Schemathesis reviews and mentions
Posts with mentions or reviews of Schemathesis.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-25.
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Faster time-to-market with API-first
Consolidating the API specification with OpenAPI was a turning point for the project. From that moment we were able to run mock servers to build and test the UI before integrating with the backend, and we were able to validate the backend implementation against the specification. We used prism to run mock servers, and Dredd to validate the server implementation (these days I’d rather use schemathesis).
- Show HN: Step CI – API Testing and Monitoring Made Simple
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API-first development maturity framework
In this approach, you produce an API specification first, then you build the API against the specification, and then you validate your implementation against the specification using automated API testing tools. This is the most reliable approach for building API servers, since it’s the only one that holds the server accountable and validates the implementation against the source of truth. Unfortunately, this approach isn’t as common as it should be. One of the reasons why it isn’t so common is because it requires you to produce the API specification first, which, as we saw earlier, puts off many developers who don’t know how to work with OpenAPI. However, like I said before, generating OpenAPI specifications doesn’t need to be painful since you can use tools for that. In this approach, you use automated API testing tools to validate your implementation. Tools like Dredd and schemathesis. These tools work by parsing your API specification and automatically generating tests that ensure your implementation complies with the specification. They look at every aspect of your API implementation, including use of headers, status codes, compliance with schemas, and so on. The most advanced of these tools at the moment is schemathesis, which I highly encourage you to check out.
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This Week in Python
schemathesis – Run generated test scenarios based on your OpenAPI specification
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Best way to test GraphQL API using Python?
Hi u/autumn_nite Python has an excellent ecosystem for GraphQL testing. Your first stop for painless GraphQL testing is schemathesis. To test your API with schemathesis, you simply need to start up your GraphQL server, and then run schemathesis like this:
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Generating arbitrary queries for a GraphQL schema
P.S. There is a higher-level tool that wraps this library (so, one doesn't have to write Python code)
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What advice you could give to BEGINNER?
It's missing the greatest API testing classic Dredd! Other than that the best API testing tool I've used so far is schemathesis. It works by looking at your API specification and automatically launching hundreds of tests per endpoint. It also leverages advanced OpenAPI documentation strategies such as links to test the relationship between various endpoints.
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Dealing with backend developers
Besides other things, it provides a great data source for automatic testing. For example, Schemathesis can use it to automatically generate thousands of property-based tests (including positive & negative cases).
One more tip for the backend developers: make sure the API implementation is tested against the API specification using contract-testing tools such as Dredd or Schemathesis. I specially recommend schemathesis as it's a lot more comprehensive. I recommend you run those tests in the CI and require them to pass before they can merge their API changes. This is the only reliable way to ensure the API works as expected.
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what are the best tools for documenting apis?
The other thing you want to make sure is that the server is implementing the API correctly. In this space, you can use tools such as Dredd and schemathesis, which look at the API specification and automatically test the server implementation against it.
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A note from our sponsor - InfluxDB
www.influxdata.com | 3 Feb 2023
Stats
Basic Schemathesis repo stats
17
1,591
9.3
2 days ago
schemathesis/schemathesis is an open source project licensed under MIT License which is an OSI approved license.
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