forked from alitaslimi/cross-chain-monitoring
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathHome.py
82 lines (72 loc) · 4.14 KB
/
Home.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
# Libraries
import streamlit as st
from PIL import Image
# Confit
st.set_page_config(page_title='Cross Chain Monitoring Tool', page_icon=':bar_chart:', layout='wide')
# Title
st.title('Cross Chain Monitoring Tool')
# Content
c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14 = st.columns(14)
c1.image(Image.open('images/ethereum-logo.png'))
c2.image(Image.open('images/bsc-logo.png'))
c3.image(Image.open('images/polygon-logo.png'))
c4.image(Image.open('images/solana-logo.png'))
c5.image(Image.open('images/avalanche-logo.png'))
c6.image(Image.open('images/cosmos-logo.png'))
c7.image(Image.open('images/near-logo.png'))
c8.image(Image.open('images/flow-logo.png'))
c9.image(Image.open('images/thorchain-logo.png'))
c10.image(Image.open('images/osmosis-logo.png'))
c11.image(Image.open('images/gnosis-logo.png'))
c12.image(Image.open('images/optimism-logo.png'))
c13.image(Image.open('images/arbitrum-logo.png'))
c14.image(Image.open('images/axelar-logo.png'))
st.write(
"""
The crypto industry continues to progress and its development has never stopped. Contributors
of each blockchain keep developing each segment of the industry and the whole crypto ecosystem.
This tool is designed to allow viewers to journey into the world of crypto ecosystems of some
of the major blockchains, and compare their performance.
This tool is designed and structured in multiple **Pages** that are accessible using the sidebar.
Each of these Pages addresses a different segment of the crypto industry. Within each segment
(Macro, Transfers, Swaps, NFTs, etc.) you are able to filter your desired blockchains to
narrow/expand the comparison. By selecting a single blockchain, you can observe a deep dive
into that particular network.
All values for amounts, prices, and volumes are in **U.S. dollars** and the time frequency of the
analysis was limited to the last **30 days**.
"""
)
st.subheader('Methodology')
st.write(
"""
The data for this cross-chain comparison were selected from the [**Flipside Crypto**](https://flipsidecrypto.xyz)
data platform by using its **REST API**. These queries are currently set to **re-run every 24 hours** to cover the latest
data and are imported as a JSON file directly to each page. The data were selected with a **1 day delay** for all
blockchains to be in sync with one another. The codes for this tool are saved and accessible in its
[**GitHub Repository**](https://github.com/alitaslimi/cross-chain-monitoring).
It is worth mentioning that a considerable portion of the data used for this tool was manually decoded from the raw
transaction data on some of the blockchains. Besides that, the names of addresses, DEXs, collections, etc. are also
manually labeled. As the queries are updated on a daily basis to cover the most recent data, there is a chance
that viewers encounter inconsistent data through the app. Due to the heavy computational power required to execute
the queries, and also the size of the raw data being too large, it was not feasible to cover data for a longer period,
or by downloading the data and loading it from the repository itself. Therefore, the REST API was selected as the
proper form of loading data for the time being.
"""
)
st.subheader('Future Works')
st.write(
"""
This tool is a work in progress and will continue to be developed moving forward. Adding other blockchains,
more KPIs and metrics, optimizing the code in general, enhancing the UI/UX of the tool, and more importantly,
improving the data pipeline by utilizing [**Flipside ShroomDK**](https://sdk.flipsidecrypto.xyz/shroomdk) are
among the top priorities for the development of this app. Feel free to share your feedback, suggestions, and
also critics with me.
"""
)
c1, c2, c3 = st.columns(3)
with c1:
st.info('**Data Analyst: [@AliTslm](https://twitter.com/AliTslm)**', icon="💡")
with c2:
st.info('**GitHub: [@alitaslimi](https://github.com/alitaslimi)**', icon="💻")
with c3:
st.info('**Data: [Flipside Crypto](https://flipsidecrypto.xyz)**', icon="🧠")