meeeller

meeeller's Stars

• CCOSTAN/Home-AssistantConfig

  :house: Home Assistant configuration & Documentation for my Smart House. Write-ups, videos, part lists, and links throughout. Be sure to :star: it. Updated FREQUENTLY!

  Language:JavaScript4.8k508

• zachowj/hass-node-red

  Companion Component for node-red-contrib-home-assistant-websocket to help integrate Node-RED with Home Assistant Core

  Language:Python466182

• fastapi/sqlmodel

  SQL databases in Python, designed for simplicity, compatibility, and robustness.

  Language:Python14.1k627

• 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:Python15.5k4k

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.2k3.7k

• DistriNet/tranco-list

  Tranco: An improved top websites ranking

  Language:Python12816

• asg017/observable-prerender

  Pre-render Observable notebooks for automation

  Language:JavaScript598

• sveltejs/svelte

  Cybernetically enhanced web apps

  Language:JavaScript78.4k4.1k

• dagster-io/dagster

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

  Language:Python11.2k1.4k

• sdispater/pendulum

  Python datetimes made easy

  Language:Python6.2k382

• python-poetry/poetry

  Python packaging and dependency management made easy

  Language:Python31.1k2.3k

• great-expectations/great_expectations

  Always know what to expect from your data.

  Language:Python9.8k1.5k

• dbt-labs/dbt-core

  dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

  Language:Python9.7k1.6k

• dask/dask

  Parallel computing with task scheduling

  Language:Python12.4k1.7k

• krlawrence/graph

  Practical Gremlin - An Apache TinkerPop Tutorial

  Language:AsciiDoc831251

• apache/superset

  Apache Superset is a Data Visualization and Data Exploration Platform

  Language:TypeScript61.9k13.6k

• quantopian/qgrid

  An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks

  Language:Python3k425

• rspeer/python-ftfy

  Fixes mojibake and other glitches in Unicode text, after the fact.

  Language:Python3.8k120

• kennethreitz/responder

  A familiar HTTP Service Framework for Python.

  Language:Python3.6k218

• SeleniumHQ/selenium

  A browser automation framework and ecosystem.

  Language:Java30.2k8.1k

• ResidentMario/missingno

  Missing data visualization module for Python.

  Language:Python3.9k516

• fluentpython/example-code

  Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)

  Language:Python5.5k2.2k

• bognix/express-passport-google-oauth-exmple

  Simple implementation of express application with Google OAuth using passport.

  Language:JavaScript912

• heroku/app-innovation

  Heroku App Innovation Workshop

  Language:HTML13105

• bvaughn/react-virtualized

  React components for efficiently rendering large lists and tabular data

  Language:JavaScript26.3k3.1k

• grafana/grafana

  The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

  Language:TypeScript64k12k

• airbnb/knowledge-repo

  A next-generation curated knowledge sharing platform for data scientists and other technical professions.

  Language:Python5.5k688

• salesforce-ux/design-system

  Salesforce Lightning Design System

  Language:JavaScript3.6k818

• c0fec0de/anytree

  Python tree data library

  Language:Python941130

• aiguofer/gspread-pandas

  A package to easily open an instance of a Google spreadsheet and interact with worksheets through Pandas DataFrames.

  Language:Python38953