Stars
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Automated data quality suggestions and analysis with Deequ on AWS Glue
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
A list of online resources for quantitative modeling, trading, portfolio management
Amundsen is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
Dockerfile to run digdag-server on Amazon ECS
Dr. Elephant is a job and flow-level performance monitoring and tuning tool for Apache Hadoop and Apache Spark
⚡ Serverless Framework – Effortlessly build apps that auto-scale, incur zero costs when idle, and require minimal maintenance using AWS Lambda and other managed cloud services.
A library that allows you to easily mock out tests based on AWS infrastructure.
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (…
A curated list of awesome big data frameworks, ressources and other awesomeness.
😎 Awesome lists about all kinds of interesting topics
Treasure Boxes - pre-built pieces of code for developing, optimizing, and analyzing your data.
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
a high-performance, POSIX-ish Amazon S3 file system written in Go
A guide for Mozilla's developers and data scientists to analyze and interpret the data gathered by our data collection systems.
BigQuery data source for Apache Spark: Read data from BigQuery into DataFrames, write DataFrames into BigQuery tables.
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps
TonY is a framework to natively run deep learning frameworks on Apache Hadoop.