aws / aws-sdk-pandasLinks
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
☆4,091Updated this week
Alternatives and similar repositories for aws-sdk-pandas
Users that are interested in aws-sdk-pandas are comparing it to the libraries listed below
Sorting:
- AWS Glue Libraries are additions and enhancements to Spark for ETL operations.☆691Updated last year
- AWS Glue code samples☆1,530Updated last month
- A developer toolkit to implement Serverless best practices and increase developer velocity.☆3,204Updated this week
- Amazon Redshift Utils contains utilities, scripts and view which are useful in a Redshift environment☆2,810Updated 3 months ago
- PyAthena is a Python DB API 2.0 (PEP 249) client for Amazon Athena.☆489Updated last month
- Python API for Deequ☆806Updated 8 months ago
- A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations☆430Updated last year
- This repository provides a command line interface (CLI) utility that replicates an Amazon Managed Workflows for Apache Airflow (MWAA) env…☆798Updated 2 months ago
- Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.☆3,557Updated last month
- Enterprise-grade, production-hardened, serverless data lake on AWS☆474Updated 2 months ago
- Always know what to expect from your data.☆11,005Updated this week
- A library that allows you to easily mock out tests based on AWS infrastructure.☆8,129Updated last week
- Redshift Python Connector. It supports Python Database API Specification v2.0.☆216Updated last month
- Turbine: the bare metals that gets you Airflow☆379Updated 4 years ago
- The Amazon Athena Query Federation SDK allows you to customize Amazon Athena with your own data sources and code.☆596Updated this week
- Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.☆524Updated 2 months ago
- Snowflake Connector for Python☆700Updated last week
- Guides and docs to help you get up and running with Apache Airflow.☆813Updated last month
- A light-weight, flexible, and expressive statistical data testing library☆4,121Updated last week
- Airflow Deployment on AWS ECS Fargate Using Cloudformation☆206Updated 3 years ago
- Notebooks and examples on how to onboard and use various features of Amazon Forecast.☆525Updated 2 years ago
- ☆1,141Updated last year
- One stop shop for running AI/ML on AWS.☆1,123Updated last week
- Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io☆2,255Updated this week
- Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http…☆182Updated last month
- S3 Filesystem☆994Updated 2 weeks ago
- A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rew…☆2,128Updated 2 weeks ago
- The low-level, core functionality of boto3 and the AWS CLI.☆1,593Updated this week
- Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS☆292Updated 8 months ago
- Run Airflow in AWS ECS(Elastic Container Service) using Fargate tasks☆162Updated last year