amphi-etl
Data pipeline builder
A tool that enables data analysts to create and manage data pipelines with an intuitive interface, generating Python code for deployment anywhere.
Visual Data Transformation with Python Code Generation. Low-Code Python-based ETL.
933 stars
10 watching
44 forks
Language: TypeScript
last commit: 4 months ago
Linked from 2 awesome lists
analytics-automationdatadata-analysisdata-pipelinesdata-preparationdata-sciencedatatransformationetlstructured-dataunstructured-data
Related projects:
Repository | Description | Stars |
---|---|---|
| A tool for creating flexible and self-documenting data science pipelines | 56 |
| A Python library for building data pipelines to create and load features into a feature store using Apache Spark. | 288 |
| A workflow engine for unifying feature engineering and machine learning operations in data analysis pipelines | 1 |
| An open-source platform for building and managing machine learning pipelines with Python | 976 |
| A Python package to build and experiment with machine learning pipelines using Kedro, MLflow, and other tools | 226 |
| A framework for designing and executing concurrent data pipelines with a focus on simplicity and efficiency | 25 |
| Enables deployment of machine learning pipelines from Spark and Scikit-Learn to production | 1,506 |
| An interactive tutorial on building retrieval pipelines and experimenting with neural ranking models using PyTerrier and OpenNIR search toolkits. | 158 |
| Automated machine learning tool for tabular data pipelines | 343 |
| A command-line tool for automating data processing and uploads from Planet's API to Google Earth Engine. | 42 |
| A tool that enables the creation of low-latency, real-time data processing pipelines | 0 |
| A tool that enables data manipulation and analysis pipelines to be flexible, reusable, and reproducible in different environments | 89 |
| A tool for creating reproducible data science pipelines in R. | 949 |
| A lightweight tool for managing and versioning large data alongside source code in data pipelines | 184 |
| Automates the end-to-end machine learning workflow from code commit to model deployment | 18 |