Label Studio vs Labelbox
Label Studio
labelstud.ioLabelbox
labelbox.comSide by side
| Figure | Label Studio | Labelbox |
|---|---|---|
| Price from | $99/mo | — |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 3 | 0 |
| Spec score · Image Annotation Software | 9.1 (#1) | 7.5 (#20) |
| Spec score · AI Image Annotation Tools | 9.1 (#1) | 7.5 (#16) |
| Spec score · Data Labeling Software | 9.0 (#1) | 7.4 (#19) |
| Spec score · AI Data Labeling Tools | 8.9 (#1) | 7.4 (#15) |
| Founded | HumanSignal is listed as founded in 2019. | 2018 |
| Integrations | The integrations directory lists cloud storage, foundation model APIs, computer vision, speech and audio, ML frameworks, and infrastructure integrations. | Examples of connected apps shown include Slack, GitHub, Linear, Salesforce, Databricks, Google Drive, Box, and Jira. |
| Security | The security documentation says application component interactions use TLS and the web app enforces HTTPS and secured cookies. | Labelbox says hosted labeled data, metadata, and private user information are encrypted at rest with AES-256 and data in transit with TLS 1.2 or later. |
| Security controls | Official security guidance describes TLS, HTTPS, secured cookies, role-restricted token API access, SSRF protection and encrypted PostgreSQL connections. | Labelbox says hosted labeled data, metadata, and private user information are encrypted at rest with AES-256 and in transit with TLS 1.2 or later. |
| Support | Community users are directed to Slack and GitHub issues, Starter Cloud includes a dedicated support portal, and Enterprise offers priority support with response time SLAs. | The Foundry guide directs users with workflow questions or feedback to submit a support ticket. |
| 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. | Labelbox builds reinforcement learning environments for AI labs and provides Recursion, a platform for enterprises to run fleets of agents. |
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.
Labelbox
Labelbox provides tools for AI training data, reinforcement learning environments, evaluations, annotation, and enterprise agent workflows. Its Recursion platform can run fleets of agents across connected applications. Work can start from schedules, alerts, events, or API calls; agents can plan jobs, run specialist agents in parallel, use sandboxes, and return graded results with evidence. Shown integrations include Slack, GitHub, Linear, Salesforce, Databricks, Google Drive, Box, and Jira. Horizon supplies reinforcement-learning environments and evaluations for reasoning, tool use, and computer use. Labelbox Annotate offers more than 10 editors for multimodal chat, LLM evaluation, prompt and response generation, computer vision, and natural language processing. Expert services cover RLHF, supervised fine-tuning, preference ranking, red teaming, and coding or agent tasks. The company says its experts span over 200 domains and 30 languages. A free tier includes 10,000 Labelbox units before card charging. Pricing is otherwise directed to contact.