Labelbox VS exe.dev
Labelbox VS exe.dev对比，Labelbox 和 exe.dev 有什么区别？
猜你喜欢
总结
Labelbox 总结
Labelbox 着陆页
exe.dev 总结
exe.dev 着陆页
比较详细信息
Labelbox 详细信息
| 类别 | AI开发者工具, 人工智能接口, AI工作流, AI生产力工具 |
| Labelbox 网站 | https://labelbox.com?utm_source=toolify |
| 添加时间 | 2025年6月22日 |
| Labelbox 定价 | -- |
exe.dev 详细信息
| 类别 | AI开发者工具, AI智能体, AI应用构建器 |
| exe.dev 网站 | https://exe.dev?utm_source=toolify |
| 添加时间 | 2026年8月21日 |
| exe.dev 定价 | -- |
使用情况比较
如何使用 Labelbox？
Users can explore the Labelbox platform through self-guided product tours, start using it for free, or contact the sales team to schedule a personalized meeting and demo. The platform provides tools for data labeling and model evaluation, and users can access managed labeling services or hire experienced AI trainers through Alignerr Connect to integrate into their existing processes.
如何使用 exe.dev？
Create an exe.dev account and choose a plan, then launch a VM using the exe.dev command-line interface or web interface. Use commands such as "ssh exe.dev new" to create a machine, optionally specifying its name, image, prompt, or disk size. Once ready, connect through SSH, access applications through HTTPS proxy URLs, or use Shelley as a built-in web coding agent. Teams can manage users and permissions through administrative controls and SSO.
比较 Labelbox 和 exe.dev 的优势
Labelbox的核心功能
- AI Data Factory software and services
- Model Evaluation platform
- Data Labeling software
- Managed Labeling Services (Labelbox labeling services)
- AI Trainer hiring (Alignerr Connect)
- Post-training alignment tasks (Supervised Fine-Tuning, RLHF, Red Teaming)
- Data Curation
- Data Labeling Tools
exe.dev的核心功能
- Instant disposable and persistent Linux VMs
- SSH access, HTTPS application proxying, root privileges, apt, and systemd
- Built-in Shelley web coding agent for developers and AI agents
- API-first VM creation and management
- Private-by-default infrastructure with IAM-based sharing
- Configurable CPU, memory, and disk resources
- Pooled resources that support multiple VMs and burstable team capacity
- Support for development, sandbox, VPS, data analysis, and production workloads
比较使用案例
Labelbox的使用案例
- Frontier models (AGI and beyond)
- Task-specific models (images, video, text, PDF)
- Model evaluation
- Supervised fine-tuning (SFT)
- Reinforcement learning (RLHF)
- Red teaming
- Agentic reasoning
- Complex reasoning
- Coding tasks
- Multimodal reasoning
- Image tasks
- Audio tasks
- Robotics
- Computer Vision
- Natural Language Processing (NLP)
exe.dev的使用案例
- Create disposable Linux sandboxes for AI coding agents
- Build and host web applications on persistent cloud VMs
- Develop remotely over SSH from a laptop, tablet, or phone
- Give an AI agent a fresh machine and a natural-language coding task
- Run data analysis workflows using SQL and visualization tools
- Create shared team development environments with IAM and SSO
- Prototype applications before deploying them to production
- Host lightweight services with HTTPS access and persistent storage
Labelbox和exe.dev的不同计划
Labelbox
对不起，没有数据
exe.dev
$20/month
50 VMs, 100 GB pooled disk, and 200 GB data transfer
$25/user/month
50 VMs per user, 100 GB pooled disk, 250 GB data transfer, admin and user management, and SSO
$35.84/hour
512 vCPU, 2,048 GB RAM, thousands of VMs with pooled disks, admin and user management, SSO, and AWS VPC integration
$0.08/GB/month
Charged for disk usage beyond the included allocation
$0.05/GB/month
Charged for data transfer beyond the included allocation
Labelbox的流量
Labelbox 是月访问量为 615.7K 且平均访问时长为 00:05:47 的工具。 Labelbox 的每次访问页数为 9.09，跳出率为 30.45%。
最新流量情况
| 月访问量 | 615.7K |
| 平均·访问时长 | 00:05:47 |
| 每次访问页数 | 9.09 |
| 跳出率 | 30.45% |
exe.dev的流量
exe.dev 是月访问量为 113.3K 且平均访问时长为 00:01:23 的工具。 exe.dev 的每次访问页数为 2.25，跳出率为 39.76%。
最新流量情况
| 月访问量 | 113.3K |
| 平均·访问时长 | 00:01:23 |
| 每次访问页数 | 2.25 |
| 跳出率 | 39.76% |
地理位置
Labelbox 的前 5 个国家/地区是：United States 29.45%, India 9.40%, United Kingdom 5.78%, Spain 4.72%, Canada 4.41%
Top 5 国家/地区
 | 29.45% |
 | 9.40% |
 | 5.78% |
 | 4.72% |
 | 4.41% |
地理位置
exe.dev 的前 5 个国家/地区是：United States 41.86%, Germany 10.03%, Vietnam 6.74%, Thailand 6.39%, India 5.23%
Top 5 国家/地区
| 41.86% |
 | 10.03% |
 | 6.74% |
 | 6.39% |
| 5.23% |
流量来源
Labelbox 的 6 个主要流量来源是：直接访问 48.00%, 外链引荐 30.65%, vs_sourcesSocialOrganic 8.51%, vs_sourcesSearchOrganic 6.06%, 邮件 5.25%, vs_sourcesGenAi 1.09%, vs_sourcesSearchPaid 0.29%, vs_sourcesDisplayAds 0.15%, vs_sourcesAffiliate 0.00%, vs_sourcesSocialPaid 0.00%
直接访问 | 48.00% |
外链引荐 | 30.65% |
vs_sourcesSocialOrganic | 8.51% |
vs_sourcesSearchOrganic | 6.06% |
邮件 | 5.25% |
vs_sourcesGenAi | 1.09% |
vs_sourcesSearchPaid | 0.29% |
vs_sourcesDisplayAds | 0.15% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesSocialPaid | 0.00% |
流量来源
exe.dev 的 6 个主要流量来源是：直接访问 57.80%, vs_sourcesSocialOrganic 20.45%, vs_sourcesSearchOrganic 9.33%, 外链引荐 9.21%, 邮件 2.50%, vs_sourcesGenAi 0.55%, vs_sourcesSocialPaid 0.17%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%
直接访问 | 57.80% |
vs_sourcesSocialOrganic | 20.45% |
vs_sourcesSearchOrganic | 9.33% |
外链引荐 | 9.21% |
邮件 | 2.50% |
vs_sourcesGenAi | 0.55% |
vs_sourcesSocialPaid | 0.17% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
Labelbox 或 exe.dev哪个更好？
Labelbox 可能比 exe.dev 更受欢迎。如您所见，Labelbox 每月有 615.7K 次访问，而 exe.dev 每月有 113.3K 次访问。 所以更多的人选择了Labelbox。 因此，人们很可能会在社交平台上更多地推荐 Labelbox。
Labelbox 的平均访问持续时间为 00:05:47，而 exe.dev 的平均访问持续时间为 00:01:23。 此外，Labelbox 的每次访问页面为 9.09，跳出率为 30.45%。 exe.dev 的每次访问页面为 2.25，跳出率为 39.76%。
Labelbox 的主要用户是United States, India, United Kingdom, Spain, Canada，分布如下：29.45%, 9.40%, 5.78%, 4.72%, 4.41%。
exe.dev 的主要用户是 United States, Germany, Vietnam, Thailand, India，分布如下：41.86%, 10.03%, 6.74%, 6.39%, 5.23%。
查看其他对比
精选*
