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.
☆10,798Mar 19, 2026Updated last 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.☆743Updated this week
- Always know what to expect from your data.☆11,280Updated this week
- Prefect is a workflow orchestration framework for building resilient data pipelines in Python.☆21,910Mar 20, 2026Updated last week
- Build, Manage and Deploy AI/ML Systems☆9,973Updated 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…☆24,874Updated this week
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- An orchestration platform for the development, production, and observation of data assets.☆15,134Mar 20, 2026Updated last week
- 🦉 Data Versioning and ML Experiments☆15,458Mar 18, 2026Updated last week
- A Python library that helps data scientists to infer causation rather than observing correlation.☆2,446Jun 26, 2024Updated last year
- The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️☆3,623May 29, 2025Updated 9 months 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…☆8,498Mar 1, 2026Updated 3 weeks ago
- Modin: Scale your Pandas workflows by changing a single line of code☆10,364Feb 10, 2026Updated last month
- A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.☆9,744Mar 3, 2026Updated 3 weeks ago
- A light-weight, flexible, and expressive statistical data testing library☆4,271Updated this week
- Streamlit — A faster way to build and share data apps.☆44,012Updated this week
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!☆8,541Updated this week
- Extremely fast Query Engine for DataFrames, written in Rust☆37,810Mar 20, 2026Updated last week
- The Open Source Feature Store for AI/ML☆6,824Updated this week
- 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.☆13,438Mar 3, 2026Updated 3 weeks ago
- Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. Fro…☆7,330Mar 19, 2026Updated last week
- Parallel computing with task scheduling☆13,774Mar 19, 2026Updated last week
- ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.☆5,289Updated this week
- ♾️ CML - Continuous Machine Learning | CI/CD for ML☆4,172Jun 2, 2025Updated 9 months ago
- 📚 Parameterize, execute, and analyze notebooks☆6,407Mar 16, 2026Updated last week
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Build data pipelines, the easy way 🛠️☆4,138Jun 6, 2023Updated 2 years ago
- Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows. Flyte 2 now available locally: https…☆6,896Updated this week
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆20,277Updated this week
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.☆41,799Mar 20, 2026Updated last week
- An open source python library for automated feature engineering☆7,626Feb 3, 2026Updated last month
- An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models☆4,735Mar 19, 2026Updated last week
- the portable Python dataframe library☆6,457Mar 19, 2026Updated last week
- dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build application…☆12,429Updated this week
- A game theoretic approach to explain the output of any machine learning model.☆25,163Mar 12, 2026Updated 2 weeks ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆229Feb 16, 2026Updated last month
- Low-code framework for building custom LLMs, neural networks, and other AI models☆11,663Mar 16, 2026Updated last week
- A unified framework for machine learning with time series☆9,650Updated this week
- A curated list of references for MLOps☆13,821Nov 21, 2024Updated last year
- An open-source, low-code machine learning library in Python☆9,716Apr 21, 2025Updated 11 months ago
- ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling …☆6,582Mar 20, 2026Updated last week
- Hydra is a framework for elegantly configuring complex applications☆10,264Feb 7, 2026Updated last month