Coder Social home page Coder Social logo

phymucs / dagster Goto Github PK

View Code? Open in Web Editor NEW

This project forked from dagster-io/dagster

0.0 1.0 0.0 589.11 MB

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

Home Page: https://dagster.io

License: Apache License 2.0

Shell 0.06% JavaScript 0.27% Python 83.51% TypeScript 14.89% CSS 0.02% Makefile 0.03% HTML 0.01% Smarty 0.12% Mako 0.01% Jupyter Notebook 0.89% Dockerfile 0.11% Mustache 0.08%

dagster's Introduction

dagster logo


Dagster

Dagster is an orchestrator that's designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports.

You declare functions that you want to run and the data assets that those functions produce or update. Dagster then helps you run your functions at the right time and keep your assets up-to-date.

Dagster is built to be used at every stage of the data development lifecycle - local development, unit tests, integration tests, staging environments, all the way up to production.

If you're new to Dagster, we recommend reading about its core concepts or learning with the hands-on tutorial.

An asset graph defined in Python:

from dagster import asset
from pandas import DataFrame, read_html, get_dummies
from sklearn.linear_model import LinearRegression

@asset
def country_populations() -> DataFrame:
    df = read_html("https://tinyurl.com/mry64ebh")[0]
    df.columns = ["country", "continent", "rg", "pop2018", "pop2019", "change"]
    df["change"] = df["change"].str.rstrip("%").str.replace("โˆ’", "-").astype("float")
    return df

@asset
def continent_change_model(country_populations: DataFrame) -> LinearRegression:
    data = country_populations.dropna(subset=["change"])
    return LinearRegression().fit(
        get_dummies(data[["continent"]]), data["change"]
    )

@asset
def continent_stats(
    country_populations: DataFrame, continent_change_model: LinearRegression
) -> DataFrame:
    result = country_populations.groupby("continent").sum()
    result["pop_change_factor"] = continent_change_model.coef_
    return result

The graph loaded into Dagster's web UI:

image

Installation

Dagster is available on PyPI and officially supports Python 3.7+.

pip install dagster dagit

This installs two modules:

  • Dagster: The core programming model.
  • Dagit: The web interface for developing and operating Dagster jobs and assets.

Documentation

You can find the full Dagster documentation here.

Community

Connect with thousands of other data practitioners building with Dagster. Share knowledge, get help, and contribute to the open-source project. To see featured material and upcoming events, check out our Dagster Community page.

Join our community here:

Contributing

For details on contributing or running the project for development, check out our contributing guide.

License

Dagster is Apache 2.0 licensed.

dagster's People

Contributors

abegong avatar ajnadel avatar alangenfeld avatar asingh16 avatar bengotow avatar benpankow avatar clairelin135 avatar dpeng817 avatar elementl-devtools avatar erinkcochran87 avatar fishmanl avatar freiksenet avatar gibsondan avatar hellendag avatar helloworld avatar jamiedemaria avatar jbrambledc avatar jmsanders avatar johannkm avatar mgasner avatar natekupp avatar owenkephart avatar prha avatar ramshackle-jamathon avatar rexledesma avatar salazarm avatar sidkmenon avatar smackesey avatar sryza avatar yuhan avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.