Label Studio 每月有 137,199 次造訪,月增率 -16.1%,定價模式為需聯絡報價、免費。VS Code 每月有 7,397,370 次造訪,成長率 -3.8%,定價模式為免費增值。

Label Studio is an open-source data labeling and AI evaluation platform from HumanSignal. It handles images, video, audio, text, documents, time series and agent traces in one flexible workspace, and connects to your ML pipeline through an API, Python SDK and webhooks.
| 面向/指標 | ![]() | ![]() |
|---|---|---|
| 官方網域 | labelstud.io | code.visualstudio.com |
| 定價模式 | 需聯絡報價、免費 | 免費增值 |
| 每月造訪次數 | 13.72萬 (137,199) | 739.74萬 (7,397,370) |
| 月流量變化量 | -2.63萬 (-16.1%) | -28.88萬 (-3.8%) |
| 主要市場與市佔 | 🇺🇸 美國 (23.9%) | 🇺🇸 美國 (18.9%) |
| 每月直接造訪 | 4.71萬 | 217.15萬 |
| 使用者評分 | 4.7 | 4.8 |
| 支援平台 | 網站 | 網站 |

Label Studio is an open-source data labeling and AI evaluation platform from HumanSignal. It handles images, video, audio, text, documents, time series and agent traces in one flexible workspace, and connects to your ML pipeline through an API, Python SDK and webhooks.
Programmable interfaces and custom templates let one workspace handle images, video, audio, text, PDFs, time series and multi-modal tasks.
Build custom benchmarks and rubrics, run side-by-side model comparisons, and grade generated answers against retrieved sources for RAG evaluation.
Collect human preferences, corrections and rankings to feed reinforcement learning from human feedback and fine-tuning workflows.
Connect observability tools, storage and any model to power AI-assisted pre-labeling, benchmarking and continuous evaluation.

精準撰寫程式碼,把更大的任務交給代理,隨時隨地繼續工作
代理會開啟程式碼儲存庫、擬定計畫、修改多個檔案並解釋變更,讓你在接受前逐項審查差異。也可以平行執行多個代理,推進待辦事項。
可接入 Anthropic、OpenAI、Google、Microsoft 或開放權重模型,也能自備金鑰。選擇最契合你工作方式的 Copilot、Claude 或 Codex 框架。
JavaScript、TypeScript、HTML 與 CSS 開箱即用,市集擴充套件還能為 Python、Java、C++、Go、Rust 等語言補齊智慧提示、檢查、重構與除錯能力。
整合終端機、原始碼管理、除錯器、測試、Jupyter 筆記本、內建瀏覽器與 Dev Containers 都在同一個視窗內,讓你始終貼近程式碼。

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