专项更强简化计算机视觉数据集标注与模型训练,但不太适合通用的 LLM 文本任务。
Bitbucket 记录了 13,080,878 月访问量,月度环比增长为 -1.2%,定价为免费增值。Scale 记录了 616,915 月访问量,增长率为 +12.5%,定价为定价请咨询。
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
| 维度 / 指标 | ![]() | |
|---|---|---|
| 官方域名 | bitbucket.org | scale.com |
| 定价模式 | 免费增值 | 定价请咨询 |
| 月访问量 | 1308.09万 (13,080,878) | 61.69万 (616,915) |
| 月度环比流量变化 | -15.32万 (-1.2%) | +6.87万 (+12.5%) |
| 主要市场与份额 | 🇺🇸 美国 (21.7%) | 🇺🇸 美国 (44.2%) |
| 直接访问 / 月 | 1028.25万 | 19.14万 |
| 用户评分 | 4.3 | 4.7 |
| 支持的平台 | 网站 | 网站 |

为 Jira 团队打造的 Git 托管与 CI/CD
托管不限数量的私有或公开仓库,支持分支权限、合并检查与行内代码审查。
在云端或私有运行器上运行 CI/CD,支持流水线配置、部署环境与集中可视化。
将提交、分支与拉取请求关联到 Jira 工作项,让每项变更从需求一直追踪到生产。
Atlassian 的 AI 智能体协助代码审查、流水线排查、快速熟悉代码库,并把 Jira 工作项转化为代码。
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.
专项更强简化计算机视觉数据集标注与模型训练,但不太适合通用的 LLM 文本任务。
专注于企业级数据标注和训练数据整理,类似于 Scale 的核心标注业务。
提供企业级多模态标注和数据管理工具,但对托管式标注人力的强调较少。

专项更强在互联环境中跟踪、评估并交付 AI 模型与智能体。
面向编码智能体的 Fast Apply 与智能体调优推理
专项更强为你部署与扩缩容应用的 AI DevOps 工程师

专项更强Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
专项更强Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.

免费 / 开源提供灵活的开源替代方案,适用于自定义数据标注和人机回环(Human-in-the-loop)标注管道。
专项更强构建、模拟、评估并监控可自我改进的 AI 智能体

专项更强Provides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
专项更强Provides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.