Label Studio vs Xtreme1
Label Studio
labelstud.ioXtreme1
github.comSide by side
| Figure | Label Studio | Xtreme1 |
|---|---|---|
| Price from | $99/mo | $550/mo |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 1 |
| Spec score · Image Annotation Software | 9.1 (#1) | 7.3 (#22) |
| Data types | The editions support labeling text, images, audio, video, time series data, and multimodal data. | The project says it supports labeling images, 3D LiDAR and 2D/3D sensor-fusion datasets. |
| Deployment | Label Studio can be installed on premises or in the cloud using pip, Docker, Ubuntu, source, or Anaconda. | The open-source project is installed with Docker Compose and can be run on Linux, Windows or MacOS. |
| Integrations | The integrations directory lists cloud storage, foundation model APIs, computer vision, speech and audio, ML frameworks, and infrastructure integrations. | The feature page links image annotation with YOLOR and RITM, and LiDAR-camera fusion workflows with OpenPCDet and AB3DMOT. |
| License | The public Label Studio repository is released under the Apache-2.0 license. | The software is licensed under Apache 2.0, and the README identifies Xtreme1 as an LF AI & Data Foundation project. |
| What it does | Label Studio is an open-source platform for data labeling, AI evaluation and human-in-the-loop workflows across many data types. | Xtreme1 is an open-source platform for multimodal training data that supports data annotation, curation and ontology management. |
Plans
Label Studio
- Community EditionFree
- Starter Cloud$99 a month
- EnterprisePriced on request
In their own words
Label Studio
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.