NEPSE-Data-Visualizer-with-Streamlit
awesome-bigdata
| NEPSE-Data-Visualizer-with-Streamlit | awesome-bigdata | |
|---|---|---|
| 2 | 3 | |
| 4 | 12,813 | |
| - | - | |
| 0.0 | 1.0 | |
| about 2 years ago | 19 days ago | |
| - | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
NEPSE-Data-Visualizer-with-Streamlit
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Is it legal to scrape Nepse's website data?
They say it is illegal and it also will be adding server load for them when we are doing scrape so they suggested us to buy API. But I have found on linkedin that someone wrote a blog about it, here it is https://q-viper.github.io/2020/11/21/deploying-nepse-data-visualizer-on-heroku/...
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Deploying Data Visualizer for Nepal Stock Exchange using Streamlit on Heroku
Of course we need python along with few other libraries. If you are wondering what should be the requirements then please follow the repository and download all the codes then TADAAAAA!!!! But to describe it on steps, please follow below steps:
awesome-bigdata
What are some alternatives?
NEPSE-Data-Analysis - Nepal Stock Exchange (NEPSE) is the historian of stock market of Nepal. I tried to get data and prediction from 2000 to 2018.
tensorbase - TensorBase is a new big data warehousing with modern efforts.
dataexplorer_webapp - Handy Data Explorer App created under DOHackathon. This app is created in a very short time so dont expect it to be perfect.
datascience - Curated list of Python resources for data science.
ezancestry - Easy genetic ancestry predictions in Python
yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
streamlit - Streamlit — A faster way to build and share data apps.
ActivitySchema - Repository for the ActivitySchema spec and supporting materials
awesome-dataviz - :chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources.
data-science-with-ruby - Practical Data Science with Ruby based tools.
awesome-gis - 😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.
awesome-python-data-science - Probably the best curated list of data science software in Python.