great-expectations / great_expectations
Always know what to expect from your data.
☆10,117Updated this week
Alternatives and similar repositories for great_expectations:
Users that are interested in great_expectations are comparing it to the libraries listed below
- An orchestration platform for the development, production, and observation of data assets.☆12,300Updated this week
- Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting…☆4,474Updated last week
- Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io☆1,973Updated this week
- Prefect is a workflow orchestration framework for building resilient data pipelines in Python.☆18,036Updated this week
- dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build application…☆10,231Updated this week
- Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, vis…☆18,024Updated this week
- A light-weight, flexible, and expressive statistical data testing library☆3,546Updated this week
- The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️☆3,538Updated 3 months ago
- Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and…☆10,112Updated this week
- Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per s…☆8,321Updated 3 months ago
- the portable Python dataframe library☆5,451Updated this week
- Build data pipelines, the easy way 🛠️☆4,099Updated last year
- The Open Source Feature Store for Machine Learning☆5,722Updated this week
- A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rew…☆2,032Updated 3 months ago
- 🦉 Data Versioning and ML Experiments☆14,088Updated this week
- Open source platform for the machine learning lifecycle☆19,253Updated this week
- A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin☆6,241Updated last month
- re_data - fix data issues before your users & CEO would discover them 😊☆1,563Updated 8 months ago
- Curated list of resources about Apache Airflow☆3,722Updated 4 months ago
- Apache Airflow - A platform to programmatically author, schedule, and monitor workflows☆38,298Updated this week
- Open Source AI/ML Platform☆8,446Updated this week
- Data-Centric Pipelines and Data Versioning☆6,197Updated this week
- ZenML 🙏: The bridge between ML and Ops. https://zenml.io.☆4,318Updated this week
- Voilà turns Jupyter notebooks into standalone web applications☆5,538Updated last week
- Modin: Scale your Pandas workflows by changing a single line of code☆9,975Updated last week
- Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Fro…☆5,612Updated this week
- 📚 Parameterize, execute, and analyze notebooks☆6,047Updated last week
- Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.☆5,924Updated this week
- Guides and docs to help you get up and running with Apache Airflow.☆804Updated 2 years ago