Label Studio vs Labellerr

Label Studio is an open-source data labeling tool for text, images, audio, video, time series, and multimodal data. It provides a configurable labeling interface, project templates, data management, and annotation import and export. Custom machine-learning backends can provide predictions, while Enterprise adds automated active-learning loops. Its integrations directory spans cloud storage, foundation-model APIs, computer vision, speech and audio, machine-learning frameworks, and infrastructure. Listed storage options include Amazon S3, Google Cloud Storage, Azure Blob Storage, Databricks, Redis, and local storage. APIs, a Python SDK, and webhooks support programmatic management and integration. Deployment options include on-premises or cloud installation using pip, Docker, Ubuntu, source, or Anaconda. Security documentation describes TLS for application-component interactions, HTTPS, and secured cookies. Enterprise is described as SOC 2 and HIPAA compliant and can be deployed in the cloud or on premises, with SSO and SCIM 2.0 support. Community Edition is free. Starter Cloud costs $99 a month, with each additional user at $49 a month; Enterprise pricing is custom.

Labellerr is a data labeling and annotation platform for AI and machine-learning teams preparing training data. Projects can use images, videos, PDFs, text, and audio. Annotation options include bounding boxes, polygons, polylines, keypoints, dots, classification, segmentation, and object detection. Automated labeling includes prompt-based and model-assisted methods, plus active learning; the company also states native support for Meta’s SAM, SAM 2, and SAM 3. A Python SDK can manage datasets and workflows in ML pipelines. Annotated data can be exported in formats such as COCO JSON, YOLO, Pascal VOC XML, CSV, and custom formats. Remote storage options include AWS S3, Google Cloud Storage, and Azure Blob; integrations with Vertex AI, SageMaker, and Azure ML are add-ons for applicable plans. Stated security measures include Auth0 authentication, TLS 1.2 or higher in transit, and AES-256 encryption. The free Researcher plan includes 2,500 data credits, one seat, one workspace, and up to 10 projects. Pro costs $9,999 a year, and unused data credits do not roll into the next payment cycle.