Skip to main content

An oppinionated data science project template for the Nexus platform. An abstraction over Streamlit.

Project description

nexus-databoard

This application provides the boilerplate to rapidly build data applications on the streamlit framework (which is already rapid!).

Quick Start

There are a few options to get started rapidly.

Clone

Clone the repository, and do pip install -r requirements.txt

You can add your own files to the ./pages directory to add/replace the example pages.
Then do ./run or streamlit run ./src/nexus_databoard/Home.py

Docker Compose

Run the docker compose file to spin up the examples.
You can also mount your own files in the pages directory in the app.
For easy development, copy the requirements into your workspace and get autocompletion for the dependencies.
pip install -r requirements.txt

Example Compose file that mounts a local pages directory

services:
  nexus_analytics:
    image: savantly/nexus-databoard:latest
    container_name: my-data-tools
    ports:
      - 8501:8501
    environment: []
    volumes:
      - ./pages:/app/pages

Extend the image

Extend the image and add your page files to the pages directory.

Example -

FROM savantly/nexus-databoard
COPY ./pages /app/pages/

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nexus_databoard-0.0.2.tar.gz (8.3 kB view hashes)

Uploaded Source

Built Distribution

nexus_databoard-0.0.2-py3-none-any.whl (11.3 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page