Alternatives
Products that do what Integrate Computer-vision in your app with just 2 lines of code does
Hi HN, I am Anubhav from RamanLabs. We have been developing end to end Computer-vision modules to make it easy for developers, hobbyists to integrate such functionality into their applications with minimal amount of code. All modules are developed to run real-time on consumer-grade CPUs[0]. For now we are releasing only Python-language SDK. Demos are provided to allow users to test performance on desired data-distribution. Framework powering these modules in completely written in Nim language, which under the hood wraps some Operation's implementation provided by libraries like…
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Hi HN,I am Anubhav from RamanLabs.We have been developing dedicated modules based on deep-learning for purposes like face-detection,object-detection,pose-estimation etc. We hope to make it easy for developers,hobbyists to integrate such functionalities into their existing app/pipeline at the cost of a few milliseconds.All our modules run end to end in super-realtime even on consumer-grade CPUs[0]. For now we provide only Python based API. We provide Demo for each of the modules to allow testing for your desired data distribution.We also have a blog[1] where we hope to add more technical…
2022 · ramanlabs.in
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Hello! I'm James and I am working on VisionScript. With VisionScript, I want to empower people -- including everyone without any prior programming experience -- to build cool apps with vision. This weekend, I recorded a demo for VisionScript, in which I made apps that count how many cats are in an image and hides people in a video. Each app was < 10 lines of code. https://vimeo.com/856043804 VisionScript is built for the 10 year old inside of me who would have loved more visual programming languages with which to play. I want to show people the potential of programming and how…
2023 · github.com
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2022 · github.com
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I've been exploring the (not so=) amazing potential of AI in coding and have compiled a list of tools. From AI-powered IDEs to code generators, this resource is my contribution to the community. I'm still on the fence about including txt2sql projects, as their functionality seems too basic to me. And I'm personally maintaining this, so your feedback is wellcome.
2025 · aicode.danvoronov.com
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Hello HN! I want to share something me and a few friends have been working on for a while now — Zeroshot, a web tool that builds image classifiers using text-image models and autolabeling. What does this mean in practice? You can put together an image classifier in about 30 seconds that’s faster and more accurate than CLIP, but that you can deploy yourself however you’d like. It’s open source, commercially licensed, and doesn’t require you to pay anyone per API call. Here's a 2 minute video that shows it off: https://www.youtube.com/watch?v=S4R1gtmM-Lo How/why does it…
2023 · usezeroshot.com
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Deploying vision models is time consuming and tedious. Setting up dependencies. Fixing conflicts. Configuring TRT acceleration. Flashing (and re-flashing) NVIDIA Jetsons. A streamlined, developer-friendly solution for inference is needed. We, the Roboflow team, have been hard at work open sourcing Inference, an open source vision deployment solution. Our solution is designed with developers in mind, offering a HTTP-based interface. Run models on your hardware without having to write architecture-specific inference code. Here's a demo showing how to go from a model to GPU inference on a video…
2023 · github.com
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supervision is a Python package with tools for building computer vision applications. With supervision, you can: - Load and filter predictions from a range of state of the art models into a standard API (i.e. YOLOv8, SAM). - Annotate images and videos with bounding boxes, segmentation masks, and more. - Calculate confusion matrices. - Use ByteTrack to track objects. - Use SAHI to process small object detection. - Process video frames. - And more. Our goal with supervision is to provide model-agnostic tools with a concise syntax that you can use to build logic on top of computer vision…
2023 · github.com
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Dec 2025 · github.com
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Hi, we're Sergey and Serafim. We've been building dev tools at 21st.dev and recently open-sourced 1Code (https://1code.dev), a local UI for Claude Code. Here's a video of the product: https://www.youtube.com/watch?v=Sgk9Z-nAjC0 Claude Code has been our go-to for 4 months. When Opus 4.5 dropped, parallel agents stopped needing so much babysitting. We started trusting it with more: building features end to end, adding tests, refactors. Stuff you'd normally hand off to a developer. We started running 3-4 at once. Then the CLI became annoying: too many terminals, hard to…
Jan 2026 · github.com
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I built a tiny 8-bit CPU simulator in Python to better understand how computers work at a low level. It visualizes registers, memory, and instructions in real-time, so you can actually see each operation as it happens. You can write simple assembly code and watch how the CPU executes it step by step. The project is mainly for learning and experimentation, but I’d love feedback or ideas for improvement.
Oct 2025 · github.com
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Hey HN! I built a local Python prototyping tool that is finally the Python development environment I've always wanted. It has a Jupyter notebook for data crunching, a database of your choice (Python or MongoDB), and a Streamlit app for building a frontend visualization. You can edit the Streamlit backend via an embedded VSCode editor, or locally on your own IDE. The best part for me is that the database connectors within Jupyter and Streamlit are configured out-of-the-box, so you don't need to spend time thinking about how to tie all that together - you can just pick the database you want to…
2023 · github.com
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Feb 2026 · madebymohammed.com
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I wanted to test mobile apps in plain English instead of relying on brittle selectors like XPath or accessibility IDs. With a vision-based agent, that part actually works well. It can look at the screen, understand intent, and perform actions across Android and iOS. The bigger problem showed up around how tests are defined and maintained. When test flows are kept outside the codebase (written manually or generated from PRDs), they quickly go out of sync with the app. Keeping them updated becomes a lot of effort, and they lose reliability over time. I then tried generating tests directly from…
Apr 2026 · github.com
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