Open-source alternatives to Shoonya

The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

QSL is a simple, open-source media labeling tool that you can use as a Jupyter widget. More information available at https://qsl.robinbay.com. It supports:

Label Studio is a multi-type data labeling tool and data annotation workspace designed to prepare datasets for machine learning training. It functions as a cloud-integrated data pipeline that imports raw data from storage, manages the annotation process, and exports labels into standardized formats. The platform features a machine learning model integration framework that connects to external model servers. This enables model-assisted annotation and active learning, allowing the system to perform pre-labeling and refine predictions based on human feedback. The software provides project manag

Adala: Autonomous DAta (Labeling) Agent framework

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hover is a tool for mass-labeling data points that can be represented by vectors.

Tornado is an open source Human-in-the-loop machine learning tool. It helps you label your dataset on the fly while training your model through a simple web user interface. It supports all data types: structured, text and image.

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Video and Image Analytics for Multiple Environments

Data Annotator for Machine Learning

Xtreme1 is an all-in-one open-source platform for Multimodal training data.