label-studio VS haystack

If instead you have a cohort on hand — -i.e., you do not want to send your data to a third party for any reason, or perhaps you have energetic undergrads — -then you could alternatively consider local, open-source annotation such as CVAT and Label Studio. Finally, nowadays, you might instead work with Large Multimodal Models to have them annotate your data; more on this awkward angle later.

14. LabelStudio by Human Signal | Github | tutorial

For instance, the COCO Annotator is a web-based image annotation tool tailored for the COCO dataset format, allowing collaborative labeling with features like attribute tagging and automatic segmentation. Similarly, Label Studio offers an easy-to-use interface for bounding box object labeling in images.

Huh?

I wrote my own system for classifying a stream of texts in Python, I might Open Source it one of these days but I have to get it to the point where it is modular enough that I can customize it to do the particular things I want without subjecting people to my whims... I use it every day and I'm not afraid to demo it because it is rock solid.

My understanding is that my system would not be hard to adapt to work on images for certain kinds of tasks.

Pytorch is open source, Huggingface is open source. CUDA isn't. This is

https://labelstud.io/

and for annotating text spans there are so many open source tools

https://github.com/doccano/doccano

I worked for a company a few years back that built annotation tools for projects we sold to customers but never quite got to a polished general purpose annotator. Today there are an overwhelming number of companies in this space and products I never heard of, many of which are cloud based or paid. Looks like a gold rush to me.

LabelStudio is free for single use. https://labelstud.io/

LabelStudio is pretty nice, and free & open source, but I have yet to try out their ML integration with a YOLO object detection model.

Label Studio is an open source data labeling tool that includes annotation functionality. It provides a simple user interface (UI) that lets you label various data types, including text, audio, time series data, videos, and images, and export the information to various model formats.

Haystack forms the backbone of our RAG system. It provides pipelines for processing documents, embedding text, and retrieving relevant information.

I created a simple app to explore how Agents & MCP can help with medical research. It connects to ClinicalTrials.gov, PubMed/PubTator, and MyVariant.info using the BioMCP Server(https://github.com/genomoncology/biomcp), and uses Haystack(https://github.com/deepset-ai/haystack) as the MCP Client.

The idea is to let users ask natural-language questions like:

Hey people! I'm actively searching for a job right now, but I'm also open to contracting if you need help integrating AI into your products.

I’ve spent the past couple of years working on Haystack (https://github.com/deepset-ai/haystack) and am now building my own agent orchestrator framework. I love tackling interesting challenges, so if you’re working on something exciting and could use an extra hand let’s chat!

Ideal For: Building question-answering systems and document-heavy retrieval applications. GitHub Repository

Are you curious about the NLP/GenAI/RAG framework for developers? Check out my opinionated developer review of Haystack, which emerges as a robust NLP/RAG framework that excels in search and retrieval applications: Read the review.

🌟 Haystack on GitHub

Did you really have to pick the same name as the Haystack open source AI framework? https://haystack.deepset.ai/ https://github.com/deepset-ai/haystack

It's a very active project and it's confusing to have two projects with the same name. Besides, I don't understand why you'd give a "2D digital whiteboard that automatically draws connections between code as you navigate and edit files" the name haystack.

I was confused for a bit but there is no relation to https://haystack.deepset.ai/