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Made-With-ML 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

Learn how to develop, deploy and iterate on production-grade ML applications.

applied-ml 是一个 AI 工具，用于人工智能方向的建模与推理。

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

OpenMetadata 是用 TypeScript 编写的运维工具，用于部署、编排与监控。

The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI …

fg-data-profiling 是用 Python 编写的学习资料，用于系统学习与查阅。

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

great_expectations 是用 Python 编写的测试工具，用于自动化测试与验证。

Always know what to expect from your data.

cleanlab 是用 Python 编写的学习资料，用于系统学习与查阅，主打开源免费。

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

fiftyone 是用 TypeScript 编写的 AI 工具，用于人工智能方向的建模与推理。

Refine high-quality datasets and visual AI models

evidently 是用 Jupyter Notebook 编写的 AI 工具，用于大模型与智能体应用开发，主打开源免费。

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular d…

feast 是用 Python 编写的学习资料，用于系统学习与查阅，主打开源免费。

The Open Source Feature Store for AI/ML

lakeFS 是用 Go 编写的开源项目，主题标签有限，建议打开仓库查看具体用途。

lakeFS - Data version control for your data lake | Git for data

mlops-course 是用 Jupyter Notebook 编写的学习资料，用于系统学习与查阅。

Learn how to design, develop, deploy and iterate on production-grade ML applications.

data-diff 是用 Python 编写的数据库工具，用于数据存储与查询。

Compare tables within or across databases

whylogs 是用 Jupyter Notebook 编写的运维工具，用于部署、编排与监控，主打开源免费。

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance ove…

soda-core 是用 Python 编写的运维工具，用于部署、编排与监控，主打现代化。

Data Contracts engine for the modern data stack. https://www.soda.io

featureform 是用 Go 编写的学习资料，用于系统学习与查阅。

The Virtual Feature Store. Turn your existing data infrastructure into a feature store.

feathr 是用 Scala 编写的 AI 工具，用于人工智能方向的建模与推理，主打可伸缩、适合生产环境。

Feathr – A scalable, unified data and AI engineering platform for enterprise

Curator 是用 Python 编写的实用工具，用于解决具体场景问题，主打可伸缩。

Scalable data pre processing and curation toolkit for LLMs

re-data 是用 HTML 编写的运维工具，用于部署、编排与监控。

re_data - fix data issues before your users & CEO would discover them 😊

duckle 是用 Rust 编写的自动化工具，用于流程自动化编排，主打开源免费。

Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 385 components, dbt, CDC, da…

cleanvision 是用 Python 编写的 AI 工具，用于人工智能方向的建模与推理。

Automatically find issues in image datasets and practice data-centric computer vision.

open-data-contract-standard 是用 Shell 编写的开源项目，主题标签有限，建议打开仓库查看具体用途。

Home of the Open Data Contract Standard (ODCS).

data-centric-AI 是一个 AI 工具，用于人工智能方向的建模与推理。

A curated, but incomplete, list of data-centric AI resources.

datacontract-cli 是用 JavaScript 编写的命令行工具，在终端中直接使用，主打开源免费。

Open-source data contract testing for Snowflake, Databricks, BigQuery, Kafka & 15 more. Built on the Open Data Contract Standard (ODCS). MIT.

awesome-data-catalogs 是一个资源清单，按主题汇总同类优质资源。

📙 Awesome Data Catalogs and Observability Platforms.