Coder VS Revyl
Coder VS Revyl对比，Coder 和 Revyl 有什么区别？
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总结
Coder 总结
Coder 着陆页
Revyl 总结
Revyl gives mobile teams full observability into how their app actually behaves on live cloud devices. Step-level execution traces, performance data (CPU, memory, FPS), a complete network waterfall, and state and file-system diffing across every run. Atlas auto-maps every screen and flow in your app, and revyl dev brings hot reload and device control into your dev loop.
Revyl 着陆页
比较详细信息
Coder 详细信息
| 类别 | AI智能体, AI开发者工具, AI代码助手 |
| Coder 网站 | https://coder.com?utm_source=toolify |
| 添加时间 | 2025年4月14日 |
| Coder 定价 | -- |
Revyl 详细信息
| 类别 | AI智能体, AI测试, AI开发者工具 |
| Revyl 网站 | https://revyl.com?utm_source=toolify |
| 添加时间 | 2026年6月30日 |
| Revyl 定价 | -- |
使用情况比较
如何使用 Coder？
Sign up with single sign-on, select a template, create a workspace, then start coding with your favorite editor. Coder supports Visual Studio Code, JetBrains Gateway, and SSH connections.
如何使用 Revyl？
Developers can start by running sessions from the Revyl CLI or MCP to provision live cloud devices, install builds, and control them. They can define end-to-end mobile workflows in natural language or utilize the Python SDK to interact with the device. Teams can also integrate Revyl into their GitHub Actions CI pipelines to scale test coverage across iOS and Android builds simultaneously, review test results via replayable evidence, and view app architecture using the Atlas runtime map.
比较 Coder 和 Revyl 的优势
Coder的核心功能
- Self-hosted development environments
- Provisioned as code
- Secure environments for developers and AI agents
- Automatic shutdown of unused resources
- Terraform-defined workspaces
Revyl的核心功能
- Full observability with step-level traces, performance metrics, and network waterfalls
- Live cloud devices with CLI, MCP, and Python SDK access supporting hot reload
- Agentic mobile testing with natural language workflow definitions
- Replayable evidence containing screenshots, video, logs, and AI reasoning
- Atlas runtime mapping for screens, flows, UI states, and navigation paths
- CI/CD integrations for automated parallel test execution on iOS and Android
比较使用案例
Coder的使用案例
- Safely deploy AI coding agents at scale
- Onboard contractors with secure remote development environments
- Build and test large codebases faster
- Reduce cloud costs by automatically shutting down unused resources
Revyl的使用案例
- Verifying application changes and hotfixes on real cloud builds during development
- Automating regression testing in CI pipelines across multiple concurrent devices
- Giving AI agents live environments, evidence, and maps to navigate and test app flows
- Debugging complex performance or network issues using detailed runtime records and state diffs
Coder和Revyl的不同计划
Coder
Free
For hobbyists and small teams ready to join Coder‘s open-source community.
Annually per user, per deployment
For enterprises ready to achieve world-class security, scalability, and developer experience.
Revyl
$20/month
For individual developers. Includes Atlas access, limited device usage, 1 concurrent device, iOS & Android simulators, CI integrations, and run history & artifacts. Annual plan is $192/year.
$250/month
For small teams. Everything in Solo, plus 15x Solo usage, 3 concurrent devices, unlimited team members, and a shared Slack channel. Annual plan is $2400/year.
$750/month
For growing teams. Everything in Starter, plus 50x Solo usage, 10 concurrent devices, priority queue, SSO, and dedicated support. Annual plan is $7200/year.
Custom
For organizations at scale. Everything in Team Pro, plus custom usage, unlimited concurrency, dedicated iOS runners, dedicated instances, SSO (SAML & OIDC), and custom SLAs.
Coder的流量
Coder 是月访问量为 208.1K 且平均访问时长为 00:01:00 的工具。 Coder 的每次访问页数为 2.12，跳出率为 42.30%。
最新流量情况
| 月访问量 | 208.1K |
| 平均·访问时长 | 00:01:00 |
| 每次访问页数 | 2.12 |
| 跳出率 | 42.30% |
Revyl的流量
Revyl 是月访问量为 19.6K 且平均访问时长为 00:00:15 的工具。 Revyl 的每次访问页数为 1.43，跳出率为 43.69%。
最新流量情况
| 月访问量 | 19.6K |
| 平均·访问时长 | 00:00:15 |
| 每次访问页数 | 1.43 |
| 跳出率 | 43.69% |
地理位置
Coder 的前 5 个国家/地区是：United States 16.06%, China 8.71%, Germany 4.67%, India 4.36%, Brazil 4.09%
Top 5 国家/地区
 | 16.06% |
 | 8.71% |
 | 4.67% |
 | 4.36% |
 | 4.09% |
地理位置
Revyl 的前 5 个国家/地区是：United States 63.79%, Vietnam 18.36%, India 9.57%, Brazil 5.24%, Israel 2.10%
Top 5 国家/地区
| 63.79% |
 | 18.36% |
| 9.57% |
| 5.24% |
 | 2.10% |
流量来源
Coder 的 6 个主要流量来源是：直接访问 46.72%, vs_sourcesSearchOrganic 31.21%, 外链引荐 10.25%, vs_sourcesSearchPaid 6.69%, vs_sourcesSocialOrganic 2.36%, vs_sourcesDisplayAds 0.98%, vs_sourcesGenAi 0.98%, 邮件 0.42%, vs_sourcesSocialPaid 0.37%, vs_sourcesAffiliate 0.00%
直接访问 | 46.72% |
vs_sourcesSearchOrganic | 31.21% |
外链引荐 | 10.25% |
vs_sourcesSearchPaid | 6.69% |
vs_sourcesSocialOrganic | 2.36% |
vs_sourcesDisplayAds | 0.98% |
vs_sourcesGenAi | 0.98% |
邮件 | 0.42% |
vs_sourcesSocialPaid | 0.37% |
vs_sourcesAffiliate | 0.00% |
流量来源
Revyl 的 6 个主要流量来源是：直接访问 47.36%, vs_sourcesSocialOrganic 24.41%, vs_sourcesSearchOrganic 23.29%, vs_sourcesSocialPaid 2.53%, 外链引荐 2.42%, 邮件 0.00%, vs_sourcesGenAi 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%
直接访问 | 47.36% |
vs_sourcesSocialOrganic | 24.41% |
vs_sourcesSearchOrganic | 23.29% |
vs_sourcesSocialPaid | 2.53% |
外链引荐 | 2.42% |
邮件 | 0.00% |
vs_sourcesGenAi | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
Coder 或 Revyl哪个更好？
Coder 可能比 Revyl 更受欢迎。如您所见，Coder 每月有 208.1K 次访问，而 Revyl 每月有 19.6K 次访问。 所以更多的人选择了Coder。 因此，人们很可能会在社交平台上更多地推荐 Coder。
Coder 的平均访问持续时间为 00:01:00，而 Revyl 的平均访问持续时间为 00:00:15。 此外，Coder 的每次访问页面为 2.12，跳出率为 42.30%。 Revyl 的每次访问页面为 1.43，跳出率为 43.69%。
Coder 的主要用户是United States, China, Germany, India, Brazil，分布如下：16.06%, 8.71%, 4.67%, 4.36%, 4.09%。
Revyl 的主要用户是 United States, Vietnam, India, Brazil, Israel，分布如下：63.79%, 18.36%, 9.57%, 5.24%, 2.10%。
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