Label Studio
8.2#2 in image annotation softwareFrom $99 a monthFree planWebAPILinuxmacOS
VisitLabel Studio vs Xtreme1
What both publish
| Fact | Label Studio | Xtreme1 |
|---|---|---|
| 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. |
Label Studio plans
- Community EditionFree
- Starter Cloud$99 a month
- EnterprisePriced on request
Xtreme1 plans
- Private-Cloud Deployment$6,600 a year
Pick Label Studio if…
It suits teams preparing labeled datasets across several media types, from individual community users to organizations needing managed cloud or on-prem deployment. Developers can use its APIs, Python SDK, and webhooks to connect labeling work to other systems.
Pick Xtreme1 if…
Xtreme1 may suit teams preparing image, LiDAR, or sensor-fusion datasets for model training. Users considering its built-in model containers should account for the listed Linux and GPU requirements.