https://github.com/01110011011101010110010001101111/streamlit_tg_li
https://github.com/01110011011101010110010001101111/streamlit_tg_li
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/01110011011101010110010001101111/streamlit_tg_li
- Owner: 01110011011101010110010001101111
- Created: 2021-12-07T14:08:41.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2024-01-23T21:55:58.000Z (over 1 year ago)
- Last Synced: 2025-01-31T11:50:11.302Z (4 months ago)
- Language: Python
- Size: 21.5 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# TigerGraph Streamlit and Graphistry Spotify Dashboard
## Overview
In this project, we'll be visualising our TigerGraph Data using Streamlit and Graphistry. The TigerGraph data we'll be using will be the SpotifyGraph.
## Get Started with TigerGraph Cloud
To learn a little about TigerGraph Cloud and how to get started, check out [this blog](https://www.tigergraph.com/blog/getting-started-with-tigergraph-3-0/) and [this video](https://www.youtube.com/watch?v=NtNW2e8MfCQ).
## Prerequisites
* Create a [Graphistry Account](https://graphistry.com/)
## Create the Dashboard
1. Create the TigerGraph Spotify Graph
2. Update `cred_example.py` with your TigerGraph and Graphistry credentials and rename it to `cred.py`.
3. Create a virtual environment with `python3 -m venv venv` and activate it with `source venv/bin/activate`. Install the libraries with `pip install -r requirements.txt`.
3. Run `streamlit run index.py` and open `http://localhost:8501/`.