# ModelScope vs Tinybird

ModelScope 记录了 3,085,423 月访问量，月度环比增长为 +5.1%，定价为免费。Tinybird 记录了 85,443 月访问量，增长率为 -24.7%，定价为免费增值。

| 指标 | [ModelScope](https://openaitools.app/zh/tool/modelscope-community) | [Tinybird](https://openaitools.app/zh/tool/tinybird) |
| :--- | :--- | :--- |
| 官网地址 | https://www.modelscope.cn | https://www.tinybird.co |
| 分类 | Open Source AI Models, AI Models, AI Developer Tools, Large Language Models (LLMs) | AI Developer Tools, AI API, AI For Data Analytics, AI 代码助手 |
| 定价模式 | 免费 | 免费增值 |
| 月访问量 | 3,085,423 | 85,443 |
| 月度环比增长率 | +5.1% | -24.7% |
| 主要市场 | 中国 | 西班牙 |
| 直接访问量 | 2,108,104 | 22,613 |
| 评价得分 | 4.5 | 4.6 |
| 收藏数 | 0 | 0 |
| 支持平台 | 网站 | 网站 |

## ModelScope

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.

**定价与套餐:** Free to use. Browsing, downloading models and datasets, and running online demos are free; free GPU/CPU notebook credits and hosted inference are available, with additional cloud resources tied to Alibaba Cloud services.

- **Model & Dataset Hub:** Browse and download thousands of pretrained models and datasets across NLP, vision, audio, and multimodal tasks.
- **One-click Online Demos:** Try models directly in the browser through hosted inference demos without local setup.
- **Free Notebook Compute:** Run training and fine-tuning in cloud notebooks with complimentary GPU and CPU resources.
- **Python Library & SDK:** Integrate ModelScope models into your own pipelines using the official Python package and APIs.
- **Community & Benchmarks:** Join competitions, publish model cards, and compare results through community benchmarks and leaderboards.

**优势:** Huge, free catalog of models and datasets; Built-in online demos require no installation; Complimentary GPU/CPU notebook compute; Strong integration with Alibaba Cloud for scaling

**局限:** Much of the documentation is Chinese-first; Hosted features may require an account and regional access; Interface can feel dense for newcomers

[工具详情（Markdown）](https://openaitools.app/zh/tool/modelscope-community.md)

## Tinybird

Tinybird is a data platform that pairs managed ClickHouse® with a hosted API, ingestion and MCP layer so engineering teams can build and ship real-time analytics products without operating database clusters themselves. It combines sub-second SQL querying, streaming and batch ingestion connectors, branching workflows and AI-agent tooling in one workflow.

**定价与套餐:** Freemium. A free tier with no credit card offers 0.25 vCPUs, 1,000 requests per day and 10 GB storage. The Developer plan is listed at $49/month with 0.5 vCPUs and 25 GB storage (a $25/month starting tier is also referenced), while SaaS and Enterprise are custom-quoted with elastic compute billing. Overage rates, storage and egress charges are published on the pricing page; confirm current numbers there as they change.

- **Managed ClickHouse® with a hosted API layer:** Write SQL and publish it as low-latency HTTP endpoints, backed by columnar storage and serverless scaling, without managing clusters, sharding or Zookeeper.
- **Flexible ingestion connectors:** Stream events over an HTTP Events API, Kafka, S3, GCS, DynamoDB or URLs in Parquet, CSV and NDJSON, so telemetry, transactions and logs land where you can query them.
- **Branches and zero-downtime schema iteration:** Create zero-copy, full-stack environments with production data for testing, and roll out schema changes as safe migrations without taking the system offline.
- **Built for coding agents and SDKs:** A CLI plus TypeScript and Python SDKs, along with agent skills and a remote MCP server, let AI coding assistants build and deploy analytics pipelines directly.
- **Enterprise controls and compliance:** Dedicated clusters, compute-compute separation, private networking, SSO/SAML, RBAC, bottomless storage and SOC 2 Type II / HIPAA / GDPR alignment for regulated teams.

**优势:** Removes the operational overhead of self-hosting ClickHouse — no Zookeeper, sharding or manual backfills; SQL-first workflow with branches, Git integration and zero-downtime migrations feels like shipping application code; Genuinely low-latency queries on large event volumes, verified by high-traffic customers; Strong AI-agent support via MCP server, agent skills and SDKs across TypeScript and Python

**局限:** Pricing scales with compute, storage and egress, so costs can be harder to forecast than fixed plans; Value depends on adopting SQL and the pipe/branch model, which is a learning curve for teams used to traditional BI stacks; Deep integrations with CRM, BI or warehouse tooling may lag more established analytics platforms; Best-suited to engineering-led teams; less of a turnkey solution for non-technical users

[工具详情（Markdown）](https://openaitools.app/zh/tool/tinybird.md)

## 常见问题

### ModelScope 和 Tinybird 在月流量上如何比较？

ModelScope 有 3,085,423 月访问量，而 Tinybird 有 85,443。流量估算描述的是受众规模，而非产品质量。

### 它们的增长率如何比较？

ModelScope 的月度环比增长率为 +5.1%；Tinybird 为 -24.7%。

### 价格如何比较？

ModelScope: 免费。Free to use. Browsing, downloading models and datasets, and running online demos are free; free GPU/CPU notebook credits and hosted inference are available, with additional cloud resources tied to Alibaba Cloud services. Tinybird: 免费增值。Freemium. A free tier with no credit card offers 0.25 vCPUs, 1,000 requests per day and 10 GB storage. The Developer plan is listed at $49/month with 0.5 vCPUs and 25 GB storage (a $25/month starting tier is also referenced), while SaaS and Enterprise are custom-quoted with elastic compute billing. Overage rates, storage and egress charges are published on the pricing page; confirm current numbers there as they change.

## 替代工具

| # | 工具名称 | 月访问量 | 月度环比增长率 | 定价模式 | 简介 | 工具详情（Markdown） |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Hugging Face](https://openaitools.app/zh/tool/hugging-face) | 31,232,542 | +0.1% | 免费增值，付费 | 作为全球标准的开源 AI 枢纽，提供比 ModelScope 大得多的模型与数据集库。 | [.md](https://openaitools.app/zh/tool/hugging-face.md) |
| 2 | [OpenRouter](https://openaitools.app/zh/tool/openrouter-ai) | 19,941,437 | -6.2% | 付费 | Convenient API gateway for multi-model access, but does not provide ModelScope's open-source model repository or dataset hosting. | [.md](https://openaitools.app/zh/tool/openrouter-ai.md) |
| 3 | [Ollama](https://openaitools.app/zh/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | 用于运行大语言模型的精简本地 CLI 运行环境，但缺乏 ModelScope 的网页版模型托管与数据集发现功能。 | [.md](https://openaitools.app/zh/tool/ollama.md) |
| 4 | [Civitai](https://openaitools.app/zh/tool/civitai) | 6,963,136 | +12.8% | 免费增值 | 专为图像和媒体生成模型打造的优秀社区中心，但缺乏 ModelScope 广泛的 NLP 和代码支持。 | [.md](https://openaitools.app/zh/tool/civitai.md) |
| 5 | [Together AI](https://openaitools.app/zh/tool/together-ai) | 1,645,930 | +64.9% | 免费增值，付费 | 通过 API 运行开源模型的强大云端基础设施，但缺乏 ModelScope 社区驱动的模型发现与演示工作区。 | [.md](https://openaitools.app/zh/tool/together-ai.md) |
| 6 | [Open WebUI](https://openaitools.app/zh/tool/open-webui) | 804,534 | -2.8% | 免费增值 | 功能丰富的本地模型自托管聊天界面，但缺乏 ModelScope 全面的原始模型权重和数据集代码库。 | [.md](https://openaitools.app/zh/tool/open-webui.md) |
| 7 | [Labelbox](https://openaitools.app/zh/tool/labelbox) | 762,803 | -22.8% | 定价请咨询 | 前沿 AI 训练所用的环境，以及负责重复性工作的智能体 | [.md](https://openaitools.app/zh/tool/labelbox.md) |
| 8 | [Convex](https://openaitools.app/zh/tool/convex) | 390,417 | -18.7% | 免费增值，付费 | 响应式 TypeScript 后端，集数据库、函数与 AI 网关于一体 | [.md](https://openaitools.app/zh/tool/convex.md) |
| 9 | [Weights & Biases（CoreWeave Forge）](https://openaitools.app/zh/tool/prompts) | 315,624 | -80.2% | 免费增值，定价请咨询，免费 | 在互联环境中跟踪、评估并交付 AI 模型与智能体。 | [.md](https://openaitools.app/zh/tool/prompts.md) |
| 10 | [Jan](https://openaitools.app/zh/tool/jan) | 291,894 | -9.6% | 免费 | 便于本地运行模型的友好桌面端应用，但专注于客户端运行而非云端模型库。 | [.md](https://openaitools.app/zh/tool/jan.md) |

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来源：https://openaitools.app/zh/compare/modelscope-community-vs-tinybird

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