免费 / 开源在本地或云端运行和构建开源 AI 模型
BasicAI Cloud 记录了 21,670 月访问量,月度环比增长为 -13.1%,定价为 Freemium, Enterprise Quote。Coddy 记录了 7,478,457 月访问量,增长率为 +17.8%,定价为免费增值。

为 AI 训练数据而生的标注平台与托管标注服务
| 维度 / 指标 | ![]() | |
|---|---|---|
| 官方域名 | basic.ai | coddy.tech |
| 定价模式 | Freemium, Enterprise Quote | 免费增值 |
| 月访问量 | 2.17万 (21,670) | 747.85万 (7,478,457) |
| 月度环比流量变化 | -3266 (-13.1%) | +113.16万 (+17.8%) |
| 主要市场与份额 | 🇺🇸 美国 (21.7%) | 🇺🇸 美国 (15.4%) |
| 直接访问 / 月 | 8706 | 313.29万 |
| 用户评分 | 4.2 | 4.3 |
| 支持的平台 | 网站 | 网站 |

为 AI 训练数据而生的标注平台与托管标注服务
在一个平台内支持边界框、多边形、关键点、语义分割、3D 点云立方体、文本/NLP 标注以及 RLHF 数据集创建。
覆盖图像、点云与音频的自动标注辅助,在保持精度的同时减少人工投入。
项目管理可适配团队结构,支持自定义工作流、进度追踪与详细绩效报表。
实时反馈结合可定制的批量质检规则,及早发现问题并锁定人工复核范围。
通过动手练习与即时在线编译器免费学编程
以练习为先的短课程可直接在浏览器中运行,无需安装编译器或开发环境即可开始学习。
为 Python、JavaScript、C、C++、Java、SQL、React、Go、Swift 等语言提供专属练习场,上完一课即可立刻写代码做实验。
软件工程师、前端、全栈、后端、数据分析师、数据科学家、DevOps 与游戏开发等结构化课程,打包了企业真正需要的技能。
连续打卡式每日编程挑战与进度追踪,帮助学习者养成稳定习惯,在长课程之间保持动力。
免费 / 开源在本地或云端运行和构建开源 AI 模型
免费 / 开源ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.
免费 / 开源ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.

专项更强Teaches computer science and logic through visual interactive puzzles and an AI tutor, but lacks traditional text-editor coding playgrounds.

免费 / 开源Open WebUI is an open-source, self-hosted AI interface that lets individuals and organizations run any model — local or cloud — inside a workspace they fully control. It ships as a one-command install, supports Ollama, OpenAI-compatible and Anthropic endpoints, and extends through Python tools, functions and pipelines.
免费 / 开源Open WebUI is an open-source, self-hosted AI interface that lets individuals and organizations run any model — local or cloud — inside a workspace they fully control. It ships as a one-command install, supports Ollama, OpenAI-compatible and Anthropic endpoints, and extends through Python tools, functions and pipelines.
前沿 AI 训练所用的环境,以及负责重复性工作的智能体

SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.
SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.