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dbt-core

Appears in 7 awesome lists

Project banner, super clear description (friendly to people brand new to the product), screenshot of the docs the tool generates, and concise links to other comprehensive pages explaining Getting Started, Joining the dbt Community, Bug Reports, Code Contribution, and Code of Conduct

Open github.comdbt-labs/dbt-core

Found in these lists

Awesome Data Analysis

Section: Tools · A framework for transforming data in your warehouse using SQL and Jinja.

FreshScore 80

AWESOME DATA SCIENCE

Section: Miscellaneous Tools · Data build tool

FreshScore 92

Awesome Database Tools

Section: Data · Transform your data by simply writing select statements, while dbt handles turning these statements into tables and views in a data warehouse.

ActiveScore 75

Awesome ETL

Section: Libraries · "enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications."

ActiveScore 72

Awesome Open Source AI

Section: 1. Core Frameworks & Libraries · Transform data using software engineering best practices. The industry-standard framework for analytics engineering with 15M+ monthly downloads. Enables version control, testing, and documentation for SQL transformations. Apache 2.0 licensed.

FreshScore 89

Awesome Production Machine Learning

Section: Data Pipeline · ETL tool for running transformations inside data warehouses.

FreshScore 92

Awesome README

Section: Examples · Project banner, super clear description (friendly to people brand new to the product), screenshot of the docs the tool generates, and concise links to other comprehensive pages explaining Getting Started, Joining the dbt Community, Bug Reports, Code Contribution, and Code of Conduct

FreshScore 90

Opik

Comet's open-source AI observability and evaluation platform: deep tracing of LLM calls, conversation logging, and agent activity, plus built-in eval metrics, prompt versioning, guardrails, and the Opik Agent Optimizer. Worth including because it unifies observability, verification, and…

In 16 listsDetails

Luigi

Python module for building complex pipelines of batch jobs. Handles dependency resolution, workflow management, visualization, and Hadoop integration. Built at Spotify and battle-tested in production. Apache 2.0 licensed.

In 15 listsDetails

Apache Airflow

"Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it…

In 13 listsDetails

Ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io

In 13 listsDetails

Dagster

Cloud-native orchestration platform for developing and maintaining data assets including ML models. Declarative programming model with integrated lineage and observability. Apache 2.0 licensed.

In 12 listsDetails

Gradio

Build and share delightful machine learning apps, all in Python. The de facto standard for creating interactive ML demos with automatic UI generation from function signatures. Powers thousands of Hugging Face Spaces.

In 11 listsDetails

Prefect

Workflow management system that makes it easy to take your data pipelines and add semantics like retries, logging, dynamic mapping, caching, failure notifications, and more.

In 11 listsDetails

MindsDB

MindsDB is an Explainable AutoML framework for developers. With MindsDB you can build, train and use state of the art ML models in as simple as one line of code.

In 11 listsDetails