danhphan

danhphan's Stars

• binhnguyennus/awesome-scalability

  The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

  59.8k1.9k06.1k

• localstack/localstack

  💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline

  Language:Python57k5195.8k4k

• bigskysoftware/htmx

  </> htmx - high power tools for HTML

  Language:JavaScript42.7k2191.4k1.4k

• duckdb/duckdb

  DuckDB is an analytical in-process SQL database management system

  Language:C++25.6k2065.4k2k

• modularml/mojo

  The Mojo Programming Language

  Language:Mojo23.5k2642.3k2.6k

• timescale/timescaledb

  An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.

  Language:C18.2k3062.9k896

• airbytehq/airbyte

  The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

  Language:Python16.8k18614.8k4.2k

• dagster-io/dagster

  An orchestration platform for the development, production, and observation of data assets.

  Language:Python12.2k1257.5k1.5k

• dabeaz-course/python-mastery

  Advanced Python Mastery (course by @dabeaz)

  Language:Python10.8k86361.8k

• HypothesisWorks/hypothesis

  Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

  Language:Python7.7k711.6k590

• apache/datafusion

  Apache DataFusion SQL Query Engine

  Language:Rust6.6k1125.6k1.3k

• evidence-dev/evidence

  Business intelligence as code: build fast, interactive data visualizations in SQL and markdown

  Language:JavaScript4.7k331k224

• hudson-and-thames/mlfinlab

  MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

  Language:Python4k1732701.2k

• awslabs/deequ

  Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

  Language:Scala3.3k79337543

• sodadata/soda-core

  :zap: Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io

  Language:Python2k15369217

• Kludex/mangum

  AWS Lambda support for ASGI applications

  Language:Python1.8k15175128

• apache/iceberg-python

  Apache PyIceberg

  Language:Python53930435196

• aws-cloudformation/custom-resource-helper

  Simplify best practice Custom Resource creation, sending responses to CloudFormation and providing exception, timeout trapping, and detailed configurable logging.

  Language:Python379224757

• brooklyn-data/dbt_artifacts

  A dbt package for modelling dbt metadata. https://brooklyn-data.github.io/dbt_artifacts

  Language:Shell33922183130

• sutoiku/puffin

  Serverless HTAP cloud data platform powered by Arrow × DuckDB × Iceberg

  315271111

• tabular-io/docker-spark-iceberg

  Language:Jupyter Notebook2471323123

• spbail/dag-stack

  Data pipeline with dbt, Airflow, Great Expectations

  Language:HTML1593334

• re-data/dbt-re-data

  re_data - fix data issues before your users & CEO would discover them 😊

  Language:Python9941341

• monte-carlo-data/data-downtime-challenge

  Language:Jupyter Notebook8327139

• airbytehq/open-data-stack

  Open Data Stack Projects: Examples of End to End Data Engineering Projects

  Language:Python7215011

• djouallah/Testing_BI_Engine

  TPC-H_SF10

  Language:Jupyter Notebook534316

• dpguthrie/dbtc

  Language:Python3921712

• danhphan/trusted-data-pipeline

  Building 3D Trusted Data Pipelines With Dagster, Dbt, and Duckdb

  Language:Python19202

• SamHames/hyperreal

  A Python package for interpretive topic modelling

  Language:Python144370

• danhphan/workshops

  workshops

  Language:Jupyter Notebook12102