Skip to main content

Contains pre-packaged Streamlit code to render fancy visualizations, run modeling tasks, and data exploration

Project description

Fancylit

Fancylit is a python module that contains pre-packaged Streamlit code to render fancy visualizations, run modeling tasks, and data exploration

Installation

pip install fancylit

Quick Start

Fancylit makes it incredibly easy to build fancy interactive apps:

import streamlit as st
import fancylit

df = pd.read_csv("datasets/iris.csv")
st.write("Bar Chart Example")
fancylit.viz.charts.bar_chart(df)

image

See more examples here: https://share.streamlit.io/banjtheman/fancylit/main/example_app.py

Hacktoberfest 2021

Hacktoberfest

There are plenty of modules to create, or update all detailed in the issues page. Complete 4 PRs during October to win a free t-shirt.

To learn more, check out their FAQ

If you want to build right away you can use Gitpod which provides a developer environment ready to begin coding. Simply click the button below to begin building.

Open in Gitpod

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

fancylit-0.0.2.tar.gz (7.0 kB view details)

Uploaded Source

Built Distribution

fancylit-0.0.2-py3-none-any.whl (11.5 kB view details)

Uploaded Python 3

File details

Details for the file fancylit-0.0.2.tar.gz.

File metadata

  • Download URL: fancylit-0.0.2.tar.gz
  • Upload date:
  • Size: 7.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.6

File hashes

Hashes for fancylit-0.0.2.tar.gz
Algorithm Hash digest
SHA256 ad075db4c21110cf6aadfeccb4c2c2a49e7e2eda01a42bdfcbfcff27603d3b48
MD5 627031946761f23e5ee358cb06211cd2
BLAKE2b-256 ee47ff15e87953fda71a9f4b13269cec8d7d97a1ebaf1e898a56f048e01949d3

See more details on using hashes here.

File details

Details for the file fancylit-0.0.2-py3-none-any.whl.

File metadata

  • Download URL: fancylit-0.0.2-py3-none-any.whl
  • Upload date:
  • Size: 11.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.25.1 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.6

File hashes

Hashes for fancylit-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 6c08eab29aec6511b6e6cc76785eef09f2f7185741a82075b2e41693edf8fdb3
MD5 c9ead3cade321a1168d49a752eafbcc7
BLAKE2b-256 5e6920439a5321f83e053b6ee38d996bc7f09a9b72d5c1af5c10872b1dc364da

See more details on using hashes here.

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