lost-pixel VS superflows

As an example, we will run a simple GitHub action on our front-end project. GitHub action will be the bare minimum and will execute some open-source visual regression tests on a single webpage.

Hey, r/vuejs! Over the weekend, I found out about Histoire existence and that the Vue community loves the tool. I am building a visual regression testing framework(some see it as an addition to E2E tests, and some use visual tests as smoke tests because of the ease of use), and I decided to add the first-class support of Histoire to it.

in this case you could start experimenting with cloud solutions as this setup that you explained looks far more in the direction of a well established business(where you could afford paying for external services). we built lost-pixel.com exactly for this purpose, we don't support multiple browser runs at this stage but we already do support breakpoints. it's usually about optimising the tools for the use case(or rather converging the use case to existing tools if it makes the life of engineers easier) and I think there is no unsolvable problem when it comes to testing :D

- we have our engine open-sourced. You could use Lost Pixel for free outside of the Lost Pixel Platform(like loki.js)- we are not storybook tool per se(like chromatic). It allows you to compose your visual tests beyond storybook in single run- due to the nature of how we run the whole flow, we are cheaper than chromatic- chromatic is a great tool(before we wrote Lost Pixel we were using Chromatic in one my contracting gigs) but sometimes it lacks features, we want to make Lost Pixel a go to solution for visual testing, wether it be storybook, or custom testing or holistic testing.

We have worked hard on the Lost Pixel Platform - the SaaS version of our tool. We are a small team of two working on it currently, but we already have awesome clients like prisma.io and adverity.com. I would be excited if you try it out and give us the feedback if you will have any!

Maybe you could set up https://lost-pixel.com in custom mode; you would make a screenshot of Figma UI & then run it over Lost Pixel visual regression testing. Hit me up, I think I might help you to get it running! u/a-friendgineer

Hey, r/nextjs! I am a big fan of monorepos, using Turborepo in almost all of my projects, I am also a big fan of visual tests :D Prepared this short tutorial on how to get Turborepo running with Lost Pixel(Disclaimer: I've created this tool, it's OSS, btw)

Hey! We got some love some time ago here on reddit when we launched https://github.com/lost-pixel/lost-pixel so we decided to validate our idea further and build a full fledged platform to manage your visual tests. https://lost-pixel.com - welcome Lost Pixel Platform! We already have large teams using it for quite a bit of time so we decided to go into Open Beta and open our work of almost 6 months to everybody! I would be super grateful for your feedback and of course I am here to answer all of your questions and just chat. We are free for Open Source projects so if you want to use our managed version for your public OSS project just drop me a message!

Check it out - https://lost-pixel.com/Being OSS at heart our platform is free for Open Source projects!

GitHub: https://github.com/Superflows-AI/superflows

Henry and Matt here: we’ve built Superflows - a fully open source alternative to the OpenAI Assistants API. It makes it easy to add an AI assistant to a SaaS product.

The assistant answers questions or completes tasks for the user by calling API endpoints in your SaaS product. E.g. a user could ask their CRM assistant “Eve is sick today, move her calls to the rest of the team - prioritise those who’ve had prior contact with the prospect” and the assistant would do this by calling the CRM’s API.

Like OpenAI’s recent Assistants API release, it handles threads, chat history, RAG on your docs and API call selection, but without the lock-in to OpenAI & you can self-host.

It supports various LLMs: an OS model we fine-tuned (based on Mistral 7B), fine-tuned GPT3.5 & GPT4. We also support Claude 2, Llama 2 and PaLM, but haven’t tested them rigorously. We’re still working on streaming the Mistral model, but have it hosted without for now.

You can upload your swagger file (OpenAPI spec) to get up and running. Endpoints can be enabled/disabled and you can evaluate performance in the playground. There’s a React component library for easy integration.

You can self-host for free. We're charging for the cloud version. This has faster & easier setup, user permissions, analytics (soon) & support.

Give it a spin and let us know what you think!