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.
☆10,158Updated this week
Alternatives and similar repositories for kedro:
Users that are interested in kedro are comparing it to the libraries listed below
- Open Source AI/ML Platform☆8,535Updated this week
- 🦉 Data Versioning and ML Experiments☆14,156Updated this week
- Always know what to expect from your data.☆10,193Updated this week
- Build data pipelines, the easy way 🛠️☆4,110Updated last year
- The Open Source Feature Store for AI/ML☆5,813Updated this week
- ♾️ CML - Continuous Machine Learning | CI/CD for ML☆4,065Updated this week
- The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️☆3,542Updated 5 months ago
- Open source platform for the machine learning lifecycle☆19,486Updated 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…☆8,335Updated 4 months ago
- A light-weight, flexible, and expressive statistical data testing library☆3,617Updated this week
- Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Fro…☆5,702Updated this week
- ZenML 🙏: The bridge between ML and Ops. https://zenml.io.☆4,413Updated this week
- Visualise your Kedro data and machine-learning pipelines and track your experiments.☆698Updated this week
- A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rew…☆2,040Updated 4 months ago
- An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models☆4,448Updated this week
- Parallel computing with task scheduling☆12,934Updated this week
- Panel: The powerful data exploration & web app framework for Python☆5,031Updated this week
- the portable Python dataframe library☆5,514Updated this week
- Voilà turns Jupyter notebooks into standalone web applications☆5,581Updated 2 weeks ago
- Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.☆6,003Updated this week
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,281Updated 7 months ago
- The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!☆7,374Updated this week
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analy…☆5,633Updated last week
- ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling …☆5,821Updated this week
- Algorithms for outlier, adversarial and drift detection☆2,301Updated 3 weeks ago
- 📚 Parameterize, execute, and analyze notebooks☆6,080Updated last month
- Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML va…☆3,705Updated 2 months ago
- A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin☆6,271Updated 2 months ago
- A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.☆8,560Updated this week
- Visualize and compare datasets, target values and associations, with one line of code.☆2,981Updated 6 months ago