kedro-org / kedro
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
☆10,243Updated this week
Alternatives and similar repositories for kedro:
Users that are interested in kedro are comparing it to the libraries listed below
- Build, Manage and Deploy AI/ML Systems☆8,677Updated this week
- The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️☆3,559Updated 6 months ago
- Always know what to expect from your data.☆10,297Updated this week
- 📚 Parameterize, execute, and analyze notebooks☆6,115Updated 2 months ago
- Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.☆6,146Updated this week
- ♾️ CML - Continuous Machine Learning | CI/CD for ML☆4,083Updated last week
- Open source platform for the machine learning lifecycle☆19,972Updated this week
- Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Fro…☆5,910Updated this week
- A light-weight, flexible, and expressive statistical data testing library☆3,711Updated this week
- Visualise your Kedro data and machine-learning pipelines and track your experiments.☆706Updated 2 weeks ago
- The Open Source Feature Store for AI/ML☆5,883Updated this week
- Prefect is a workflow orchestration framework for building resilient data pipelines in Python.☆18,797Updated this week
- Create delightful software with Jupyter Notebooks☆5,047Updated this week
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆18,277Updated this week
- Build data pipelines, the easy way 🛠️☆4,114Updated last year
- the portable Python dataframe library☆5,648Updated this week
- 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.☆12,816Updated this week
- The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!☆7,546Updated this week
- An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models☆4,494Updated this week
- A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.☆8,696Updated this week
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…☆3,750Updated 3 weeks ago
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,292Updated 9 months ago
- Automatically visualize your pandas dataframe via a single print! 📊 💡☆5,264Updated last year
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,328Updated last month
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,415Updated 2 months ago
- MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle☆3,618Updated 3 weeks ago
- A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rew…☆2,059Updated this week
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.☆2,367Updated 3 months ago
- An open source python library for automated feature engineering☆7,400Updated 2 weeks ago
- Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per s…☆8,357Updated 5 months ago