pythagora
keploy
pythagora | keploy | |
---|---|---|
37 | 69 | |
1,515 | 3,341 | |
2.4% | 2.6% | |
7.8 | 9.6 | |
3 days ago | 4 days ago | |
JavaScript | Go | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pythagora
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AI Chat Applications with the Metacognition Approach: Tree of Thoughts (ToT)
Product which you can try - https://github.com/Pythagora-io/pythagora, check also video - Open-Source AI Agent Can Build FULL STACK Apps (FREE “Devin” Alternative) (youtube.com)
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How to kickstart automated test suite when there are 0 tests written and the codebase is already huge
P.S. If you found this post helpful, it would mean a lot to me if you starred the Pythagora Github repo and if you try Pythagora out, please let us know how it went on [email protected].
- Show HN: CLI tool that writes unit tests for Node.js apps with GPT-4
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I created a CLI tool that writes unit tests with GPT-4 (with one command, I created tests for Lodash repo with 90% code coverage and found 13 bugs)
Thanks, yes, it can, we actually started off with integration tests. Take a look at the integration tests README. They work by recording server activity (db queries, 3rd party API requests, etc.) during the processing of an API request.
- Pythagora creates automated tests for you by analysing server activity
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I created a dev tool that uses GPT-4 to generate integration tests in Jest by tracking server activity
Recently, I open sourced Pythagora - a dev tool that tracks the server activity and creates integration tests from it. However, many people said that they wanted to analyze better what is inside the tests and to use tests as code documentation. So, I used GPT-4 to export Pythagora tests (which are basically JSON files that contain all captured data) to Jest code which can be reviewed and used for documentation.
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45 ways to break an API server (negative tests with examples)
I'm working on Pythagora, an open source tool that writes automated integration tests by itself (well, with a bit of help from GPT-4) without you, the dev, having to write a single line of code. Basically, you can get from 0 to 80% code code coverage within 30 minutes (video).
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What project are you currently working on?
Hey! I'm working on Pythagora (https://github.com/Pythagora-io/pythagora) - it's an open source tool that creates automated integration tests by analyzing server activity without you having to write a single line of code.
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How Pythagora Reduces Debugging Time and Supercharges Your Development Workflow
Pythagora is an NPM package designed to create automated tests for your Node.js applications by analyzing server activity. It records all requests to your app's endpoints, along with responses and server actions, such as Mongo and Redis queries. Pythagora during testing simulates the server conditions from the time when the request was captured, allowing for consistent and accurate testing across different environments.
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Creating integration tests for a backend legacy codebase
Finally, if you read this far and would like to support us, please consider starring the Pythagora Github repository here – it would mean the world to us.
keploy
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Getting Started with Keploy
October is the month of Open Source and Keploy is taking part in this celebration. You can contribute to several Keploy projects by participating in this year’s Hacktoberfest. You can both contribute to the code part and the no-code part as well. Here are some contributions that you can make!
curl --silent --location "https://github.com/keploy/keploy/releases/latest/download/keploy_linux_amd64.tar.gz" | tar xz -C /tmp sudo mkdir -p /usr/local/bin && sudo mv /tmp/keploy /usr/local/bin && keploy
- Show HN: Keploy – eBPF-Driven API Mock and Test Generation from Prod Traffic
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6 AI Tools every developer must try
Keploy is an open-source, end-to-end (E2E) testing toolkit for developers. It creates test cases and data mocks/stubs by recording API calls, database queries, etc., making releases faster and more reliable. Keploy works by being added as a middleware to your application. It captures and replays all network interaction served to the application from any source. This allows Keploy to generate test cases for all of your API endpoints, including those that are not explicitly tested by your unit tests. This can help you to identify and fix bugs that would otherwise go undetected. Keploy can create data mocks/stubs for your APIs, which can help you to isolate your tests and make them more reliable. It can automatically compare test cases generated from previously collected traffic against updated behaviour of your application, and bring any differences to your attention. This can help you to identify regressions in your production code early on.
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Toxic Backlink Issue: Semrush Flags OSS Project's GitHub Link. Disavow or Whitelist? Need SEO Advice!
I'm new to SEO, I run an OSS project and Semrush shows my project's main repo link as TOXIC backlink!! I'm not sure if I should add this to the whitelist of my domain.
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Gokiburi: Automatic Test Runs for Go Projects
I have once contributed to one similar project https://github.com/keploy/keploy , This can help you generate e2e tests and mocks as well , with real api and infra calls .
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FOSS Projects needed
Please feel free to checkout keploy too - https://github.com/keploy/keploy
- Becoming a Go dev
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I’ve created a tool that generates automated integration tests by recording and analyzing API requests and server activity. Within 1 hour of recording, it gets to 90% code coverage.
This looks very similar to keploy but specific to node apps. Keploy is designed to be multi language.
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Test generating tools - future of test automation?
I recently discovered Keploy (https://github.com/keploy/keploy) and was really impressed by its promise that it can generate API tests with code coverage by itself just by recording API calls and mocking everything that goes outside of the application - including calls to external API endpoints and the database. It seems like a super useful tool and potentially a game changer, especially now that GPT is starting another wave of automation.
What are some alternatives?
mern-ecommerce - :balloon: Fullstack MERN Ecommerce Application
Testify - A toolkit with common assertions and mocks that plays nicely with the standard library
fastkafka - FastKafka is a powerful and easy-to-use Python library for building asynchronous web services that interact with Kafka topics. Built on top of Pydantic, AIOKafka and AsyncAPI, FastKafka simplifies the process of writing producers and consumers for Kafka topics.
go-rabbitmq - A wrapper of streadway/amqp that provides reconnection logic and sane defaults
change-case - Convert strings between camelCase, PascalCase, Capital Case, snake_case and more
core - Backend server API handling user mgmt, database, storage and real-time component
js-proper-url-join - Like path.join but for a URL
CodeTriage - Discover the best way to get started contributing to Open Source projects
api
changie - Automated changelog tool for preparing releases with lots of customization options
pythagora-demo-lodash - A modern JavaScript utility library delivering modularity, performance, & extras.
evergreen - A Distributed Continuous Integration System from MongoDB