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.
☆10,887Jun 12, 2026Updated this week
Alternatives and similar repositories for kedro
Users that are interested in kedro are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Visualise your Kedro data and machine-learning pipelines and track your experiments.☆750Jun 9, 2026Updated last week
- Always know what to expect from your data.☆11,556Updated this week
- Prefect is a workflow orchestration framework for building resilient data pipelines in Python.☆22,598Updated this week
- Build, Manage and Deploy AI/ML Systems☆10,129Updated this week
- The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, a…☆26,506Updated this week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- An orchestration platform for the development, production, and observation of data assets.☆15,699Updated this week
- 🦉 Data Versioning and ML Experiments☆15,675Jun 8, 2026Updated last week
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,468Jun 26, 2024Updated last year
- The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️☆3,624May 29, 2025Updated last year
- Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per s…☆8,504Apr 1, 2026Updated 2 months ago
- A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.☆9,902Apr 9, 2026Updated 2 months ago
- Modin: Scale your Pandas workflows by changing a single line of code☆10,388Feb 10, 2026Updated 4 months ago
- A light-weight, flexible, and expressive statistical data testing library☆4,376Updated this week
- Streamlit — A faster way to build and share data apps.☆44,923Updated this week
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!☆8,670Jun 3, 2026Updated 2 weeks ago
- Extremely fast Query Engine for DataFrames, written in Rust☆38,754Updated this week
- The Open Source Feature Store for AI/ML☆7,085Jun 10, 2026Updated last week
- 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.☆13,602Apr 22, 2026Updated last month
- Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Fro…☆7,590May 2, 2026Updated last month
- Parallel computing with task scheduling☆13,846Updated this week
- ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.☆5,440Updated this week
- ♾️ CML - Continuous Machine Learning | CI/CD for ML☆4,179Jun 2, 2025Updated last year
- 📚 Parameterize, execute, and analyze notebooks☆6,450May 12, 2026Updated last month
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Build data pipelines, the easy way 🛠️☆4,138Jun 6, 2023Updated 3 years ago
- Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.☆7,088Updated this week
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆20,635Jun 4, 2026Updated last week
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.☆42,855Updated this week
- An open source python library for automated feature engineering☆7,653Jun 9, 2026Updated last week
- An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models☆4,752Mar 23, 2026Updated 2 months ago
- the portable Python dataframe library☆6,573Updated this week
- dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build application…☆12,990Updated this week
- A game theoretic approach to explain the output of any machine learning model.☆25,533Updated this week
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆232May 10, 2026Updated last month
- Low-code framework for building custom LLMs, neural networks, and other AI models☆11,715Jun 8, 2026Updated last week
- A unified framework for machine learning with time series☆9,806Updated this week
- A curated list of references for MLOps☆13,936Nov 21, 2024Updated last year
- Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.☆9,810Updated this week
- ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling …☆6,727Jun 10, 2026Updated last week
- Hydra is a framework for elegantly configuring complex applications☆10,443Updated this week