PrefectHQ / prefectLinks
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
☆20,315Updated this week
Alternatives and similar repositories for prefect
Users that are interested in prefect are comparing it to the libraries listed below
Sorting:
- An orchestration platform for the development, production, and observation of data assets.☆13,990Updated this week
- Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and…☆10,526Updated this week
- Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.☆6,488Updated this week
- Build, Manage and Deploy AI/ML Systems☆9,453Updated last week
- Always know what to expect from your data.☆10,722Updated this week
- Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, vis…☆18,477Updated 3 months ago
- Apache Airflow - A platform to programmatically author, schedule, and monitor workflows☆42,236Updated this week
- Parallel computing with task scheduling☆13,481Updated this week
- Streamlit — A faster way to build and share data apps.☆41,384Updated this week
- Typer, build great CLIs. Easy to code. Based on Python type hints.☆17,869Updated this week
- Build data pipelines, the easy way 🛠️☆4,142Updated 2 years ago
- dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build application…☆11,371Updated this week
- The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lak…☆19,468Updated this week
- Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting…☆4,648Updated this week
- 🦉 Data Versioning and ML Experiments☆14,873Updated this week
- The open source developer platform to build AI/LLM applications and models with confidence. Enhance your AI applications with end-to-end …☆21,986Updated this week
- The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️☆3,602Updated 3 months ago
- The Open Source Feature Store for AI/ML☆6,330Updated this week
- An open source multi-tool for exploring and publishing data☆10,314Updated last month
- ♾️ CML - Continuous Machine Learning | CI/CD for ML☆4,139Updated 3 months ago
- The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!☆8,073Updated this week
- Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics☆15,929Updated this week
- 🧙 Build, run, and manage data pipelines for integrating and transforming data.☆8,464Updated this week
- Data validation using Python type hints☆25,153Updated this week
- Apache Superset is a Data Visualization and Data Exploration Platform☆68,039Updated this week
- Python Stream Processing☆6,822Updated last year
- Data Apps & Dashboards for Python. No JavaScript Required.☆24,021Updated last week
- ZenML 🙏: MLOps for Reliable AI: from Classical AI to Agents. https://zenml.io.☆4,868Updated this week
- Python packaging and dependency management made easy☆33,908Updated this week
- SQL databases in Python, designed for simplicity, compatibility, and robustness.☆16,751Updated this week