The IYP Python library is a lightweight query tool designed to simplify interactions with Neo4j DBMS. By encapsulating common query operations and providing a user-friendly interface, the library streamlines the process of retrieving and analyzing data from Neo4j databases.
- Execute Cypher queries with minimal code and configuration.
- Retrieve and Returns Pandas DataFrame Object . which can use for
- Data Exploring
- Data Selection and Indexing
- Data Manipulation
- Data Cleaning
- Data Visualization
- Data Transformation
- Time Series Analysis
- Advance Operation
- Integration with Other Libraries
- Fetch nodes, relationships, and properties effortlessly.
- Retrieve query results in both JSON .
- Integrate seamlessly with other Python data manipulation libraries.
- Designed for ease of use and rapid development.
- Includes comprehensive documentation and examples for quick onboarding.
Get the latest source files:
git clone [email protected]:MAVRICK-1/IYP_Lib.git
cd IYP_Lib
pip install -r requirements.txt
pip install wheelpython setup.py bdist_wheelFind 'Name' nodes directly connected to the node corresponding to any given ASn(Autonomous System Number).
from IYP import AS #importing Library
asnData=AS.asn(2497) #Taking the example of AS2497
asnjson=asnData.json()#accuring the Json data
print(asnjson) #printing its value
print("Tabular Form :")
print(asnData.table()) #printing the data into tabular form
asnData.close() #Close the connection to the Neo4j database.[
{
"a": {
"asn": 2497
},
"n": {
"name": "IIJ Internet Initiative Japan Inc."
}
},
{
"a": {
"asn": 2497
},
"n": {
"name": "IIJ"
}
},
{
"a": {
"asn": 2497
},
"n": {
"name": "Internet Initiative Japan"
}
},
{
"a": {
"asn": 2497
},
"n": {
"name": "Internet Initiative Japan Inc."
}
},
{
"a": {
"asn": 2497
},
"n": {
"name": "IIJ"
}
},
{
"a": {
"asn": 2497
},
"n": {
"name": "IIJ"
}
}
]
Table Format:
Autonomus System Number name
0 2497 IIJ Internet Initiative Japan Inc.
1 2497 IIJ
2 2497 Internet Initiative Japan
3 2497 Internet Initiative Japan Inc.Here we search for a country node directly connected to AS2497's node and that comes from NRO's delegated stats.
from IYP import AS
countryCode=AS.as_country_code(2497) #Taking the example of AS2497
countryCodeJson=countryCode.json()#accuring the Json data
print(countryCodeJson) #printing its value
countryCode.table() #roughly printing the data into tabular form
countryCode.close() #Close the connection to the Neo4j database.[
{
"iij": {
"asn": 2497
},
"cc": {
"country_code": "JP",
"name": "Japan",
"alpha3": "JPN"
}
}
]
Table Format:
Autonomus System Number Country Code Name Alpha3
0 2497 JP Japan JPN
Select domain names in top 50k rankings that resolves to an IP originated by AS2497.
from IYP import AS
asnDom=AS.top_dom_asn(2497) #Taking the example of AS2497
asnDomJson=asnDom.json()#accuring the Json data
print(asnDomJson) #printing its value
asnDom.table() #roughly printing the data into tabular form
asnDom.close() #Close the connection to the Neo4j database.[
{
"dn": {
"name": "crea-tv.jp"
},
"ip": {
"af": 4,
"ip": "202.221.140.170"
},
"pfx": {
"af": 4,
"prefix": "202.221.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "ndl.go.jp"
},
"ip": {
"af": 4,
"ip": "133.159.67.120"
},
"pfx": {
"af": 4,
"prefix": "133.159.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "konami.com"
},
"ip": {
"af": 4,
"ip": "210.149.81.150"
},
"pfx": {
"af": 4,
"prefix": "210.149.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "yugioh-card.com"
},
"ip": {
"af": 4,
"ip": "210.149.81.150"
},
"pfx": {
"af": 4,
"prefix": "210.149.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "konami.com"
},
"ip": {
"af": 4,
"ip": "210.149.81.150"
},
"pfx": {
"af": 4,
"prefix": "210.149.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "yugioh-card.com"
},
"ip": {
"af": 4,
"ip": "210.149.81.150"
},
"pfx": {
"af": 4,
"prefix": "210.149.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "pia.jp"
},
"ip": {
"af": 4,
"ip": "202.214.74.78"
},
"pfx": {
"af": 4,
"prefix": "202.214.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "pia.co.jp"
},
"ip": {
"af": 4,
"ip": "202.214.74.78"
},
"pfx": {
"af": 4,
"prefix": "202.214.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "deqwas.net"
},
"ip": {
"af": 4,
"ip": "202.214.162.7"
},
"pfx": {
"af": 4,
"prefix": "202.214.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "deqwas.net"
},
"ip": {
"af": 4,
"ip": "202.214.162.7"
},
"pfx": {
"af": 4,
"prefix": "202.214.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "gamecity.ne.jp"
},
"ip": {
"af": 4,
"ip": "202.214.51.232"
},
"pfx": {
"af": 4,
"prefix": "202.214.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "iij.jp"
},
"ip": {
"af": 4,
"ip": "203.180.140.77"
},
"pfx": {
"af": 4,
"prefix": "203.180.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "iij.jp"
},
"ip": {
"af": 4,
"ip": "203.180.140.77"
},
"pfx": {
"af": 4,
"prefix": "203.180.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "tetrabit.net"
},
"ip": {
"af": 4,
"ip": "203.180.251.7"
},
"pfx": {
"af": 4,
"prefix": "203.180.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "hi-ho.ne.jp"
},
"ip": {
"af": 4,
"ip": "58.138.168.104"
},
"pfx": {
"af": 4,
"prefix": "58.138.128.0/18"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "hi-ho.ne.jp"
},
"ip": {
"af": 4,
"ip": "58.138.168.104"
},
"pfx": {
"af": 4,
"prefix": "58.138.128.0/18"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "timescar.jp"
},
"ip": {
"af": 4,
"ip": "58.138.176.23"
},
"pfx": {
"af": 4,
"prefix": "58.138.128.0/18"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "timescar.jp"
},
"ip": {
"af": 4,
"ip": "58.138.176.23"
},
"pfx": {
"af": 4,
"prefix": "58.138.128.0/18"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "madamlive.tv"
},
"ip": {
"af": 4,
"ip": "202.32.201.193"
},
"pfx": {
"af": 4,
"prefix": "202.32.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "goo-net.com"
},
"ip": {
"af": 4,
"ip": "163.49.4.15"
},
"pfx": {
"af": 4,
"prefix": "163.49.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "goo-net.com"
},
"ip": {
"af": 4,
"ip": "163.49.4.15"
},
"pfx": {
"af": 4,
"prefix": "163.49.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "goobike.com"
},
"ip": {
"af": 4,
"ip": "163.49.4.56"
},
"pfx": {
"af": 4,
"prefix": "163.49.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "pinzuba.news"
},
"ip": {
"af": 4,
"ip": "163.49.35.165"
},
"pfx": {
"af": 4,
"prefix": "163.49.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "gendai.media"
},
"ip": {
"af": 4,
"ip": "163.49.35.159"
},
"pfx": {
"af": 4,
"prefix": "163.49.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "chugoku-np.co.jp"
},
"ip": {
"af": 4,
"ip": "163.49.35.121"
},
"pfx": {
"af": 4,
"prefix": "163.49.0.0/16"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "tower.jp"
},
"ip": {
"af": 4,
"ip": "202.238.233.84"
},
"pfx": {
"af": 4,
"prefix": "202.238.192.0/18"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "tdk.com"
},
"ip": {
"af": 4,
"ip": "202.238.239.243"
},
"pfx": {
"af": 4,
"prefix": "202.238.192.0/18"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "tdk.com"
},
"ip": {
"af": 4,
"ip": "202.238.239.243"
},
"pfx": {
"af": 4,
"prefix": "202.238.192.0/18"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "hankyu-travel.com"
},
"ip": {
"af": 4,
"ip": "202.238.233.175"
},
"pfx": {
"af": 4,
"prefix": "202.238.192.0/18"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "webike.net"
},
"ip": {
"af": 4,
"ip": "202.238.231.218"
},
"pfx": {
"af": 4,
"prefix": "202.238.192.0/18"
},
"iij": {
"asn": 2497
}
},
{
"dn": {
"name": "webike.net"
},
"ip": {
"af": 4,
"ip": "202.238.231.218"
},
"pfx": {
"af": 4,
"prefix": "202.238.192.0/18"
Table Format:
Domain Name AF IP Prefix Autonomus System Number
0 crea-tv.jp 4 202.221.140.170 202.221.0.0/16 2497
1 ndl.go.jp 4 133.159.67.120 133.159.0.0/16 2497
2 konami.com 4 210.149.81.150 210.149.0.0/16 2497
3 yugioh-card.com 4 210.149.81.150 210.149.0.0/16 2497
6 pia.jp 4 202.214.74.78 202.214.0.0/16 2497
7 pia.co.jp 4 202.214.74.78 202.214.0.0/16 2497
8 deqwas.net 4 202.214.162.7 202.214.0.0/16 2497
10 gamecity.ne.jp 4 202.214.51.232 202.214.0.0/16 2497
11 iij.jp 4 203.180.140.77 203.180.0.0/16 2497
13 tetrabit.net 4 203.180.251.7 203.180.0.0/16 2497
14 hi-ho.ne.jp 4 58.138.168.104 58.138.128.0/18 2497
16 timescar.jp 4 58.138.176.23 58.138.128.0/18 2497
18 madamlive.tv 4 202.32.201.193 202.32.0.0/16 2497
19 goo-net.com 4 163.49.4.15 163.49.0.0/16 2497
21 goobike.com 4 163.49.4.56 163.49.0.0/16 2497
22 pinzuba.news 4 163.49.35.165 163.49.0.0/16 2497
23 gendai.media 4 163.49.35.159 163.49.0.0/16 2497
24 chugoku-np.co.jp 4 163.49.35.121 163.49.0.0/16 2497
25 tower.jp 4 202.238.233.84 202.238.192.0/18 2497
26 tdk.com 4 202.238.239.243 202.238.192.0/18 2497
28 hankyu-travel.com 4 202.238.233.175 202.238.192.0/18 2497
29 webike.net 4 202.238.231.218 202.238.192.0/18 2497
31 tower.jp 4 202.238.233.87 202.238.192.0/18 2497
32 hankyu-travel.com 4 202.238.233.174 202.238.192.0/18 2497
33 athome.co.jp 4 220.156.137.21 220.156.128.0/19 2497
34 jprime.jp 4 202.238.151.94 202.238.128.0/18 2497
35 forzastyle.com 4 202.238.151.45 202.238.128.0/18 2497
36 toyokeizai.net 4 202.238.151.52 202.238.128.0/18 2497
38 gentosha-go.com 4 202.238.151.111 202.238.128.0/18 2497
39 okinawatimes.co.jp 4 202.238.151.129 202.238.128.0/18 2497
40 bunshun.jp 4 202.238.151.148 202.238.128.0/18 2497
41 afpbb.com 4 202.238.151.70 202.238.128.0/18 2497
42 limo.media 4 202.238.151.83 202.238.128.0/18 2497
43 president.jp 4 202.238.151.28 202.238.128.0/18 2497
44 mi-mollet.com 4 202.238.151.96 202.238.128.0/18 2497
45 skyperfectv.co.jp 4 210.148.90.150 210.148.0.0/16 2497
46 1024tera.com 4 210.148.85.59 210.148.0.0/16 2497
48 terabox.com 4 210.148.85.50 210.148.0.0/16 2497
52 diamond.jp 4 210.148.177.240 210.148.0.0/16 2497
54 4funbox.com 4 210.148.85.9 210.148.0.0/16 2497
55 teraboxapp.com 4 210.148.85.41 210.148.0.0/16 2497
57 nephobox.com 4 210.148.85.13 210.148.0.0/16 2497
59 tttturbonet.com 4 210.148.85.53 210.148.0.0/16 2497
61 ismedia.jp 4 210.148.177.150 210.148.0.0/16 2497
62 terabox.app 4 210.148.85.14 210.148.0.0/16 2497
64 kenwood.com 4 150.31.252.150 150.31.0.0/16 2497
66 tamiya.com 4 150.31.244.4 150.31.0.0/16 2497
67 2ndstreet.jp 4 150.31.179.81 150.31.0.0/16 2497
68 jvc.com 4 150.31.252.139 150.31.0.0/16 2497
69 japanet.co.jp 4 202.232.74.201 202.232.0.0/16 2497
70 family.co.jp 4 202.232.114.4 202.232.0.0/16 2497
71 iij.ad.jp 4 202.232.2.191 202.232.0.0/16 2497
73 suumo.jp 4 160.17.3.13 160.17.0.0/16 2497
75 zexy.net 4 160.17.1.144 160.17.0.0/16 2497
76 carsensor.net 4 160.17.8.24 160.17.0.0/16 2497
77 townwork.net 4 160.17.2.8 160.17.0.0/16 2497
78 jalan.net 4 160.17.5.13 160.17.0.0/16 2497
80 hotpepper.jp 4 160.17.98.198 160.17.0.0/16 2497
Starting from the node corresponding to AS2497, find IXPs where AS2497 is member of, and then the country corresponding to each IXP.
from IYP import AS
asnDom=AS.ixps_for_as(2497) #Taking the example of AS2497
asnDomJson=asnDom.json()#accuring the Json data
print(asnDomJson) #printing its value
asnDom.table() #roughly printing the data into tabular form
asnDom.close() #Close the connection to the Neo4j database.[
{
"iij": {
"asn": 2497
},
"ix": {
"name": "JPNAP Tokyo"
},
"cc": {
"country_code": "JP",
"name": "Japan",
"alpha3": "JPN"
}
},
{
"iij": {
"asn": 2497
},
"ix": {
"name": "SIX Seattle"
},
"cc": {
"country_code": "US",
"name": "United States of America",
"alpha3": "USA"
}
},
{
"iij": {
"asn": 2497
},
"ix": {
"name": "Equinix San Jose"
},
"cc": {
"country_code": "US",
"name": "United States of America",
"alpha3": "USA"
}
},
{
"iij": {
"asn": 2497
},
"ix": {
"name": "Equinix Ashburn"
},
"cc": {
"country_code": "US",
"name": "United States of America",
"alpha3": "USA"
}
},
{
"iij": {
"asn": 2497
},
"ix": {
"name": "Equinix Hong Kong"
},
"cc": {
"country_code": "HK",
"name": "Hong Kong",
"alpha3": "HKG"
}
},
{
"iij": {
"asn": 2497
},
"ix": {
"name": "Equinix New York"
},
"cc": {
"country_code": "US",
"name": "United States of America",
"alpha3": "USA"
}
},
{
"iij": {
"asn": 2497
},
"ix": {
"name": "HKIX"
},
"cc": {
"country_code": "HK",
"name": "Hong Kong",
"alpha3": "HKG"
}
},
{
"iij": {
"asn": 2497
},
"ix": {
"name": "Equinix Singapore"
},
"cc": {
"country_code": "SG",
"name": "Singapore",
"alpha3": "SGP"
}
},
{
"iij": {
"asn": 2497
},
"ix": {
"name": "DE-CIX Frankfurt"
},
"cc": {
"country_code": "DE",
"name": "Germany",
"alpha3": "DEU"
}
},
{
"iij": {
"asn": 2497
},
"ix": {
"name": "SGIX"
},
"cc": {
"country_code": "SG",
"name": "Singapore",
"alpha3": "SGP"
}
},
{
"iij": {
"asn": 2497
},
"ix": {
"name": "LINX LON1"
},
"cc": {
"country_code": "GB",
"name": "United Kingdom of Great Britain and Northern Ireland",
"alpha3": "GBR"
}
},
{
"iij": {
"asn": 2497
},
"ix": {
"name": "Equinix Palo Alto"
},
"cc": {
"country_code": "US",
"name": "United States of America",
"alpha3": "USA"
}
},
{
"iij": {
"asn": 2497
},
"ix": {
"name": "DIX-IE"
},
"cc": {
"country_code": "JP",
"name": "Japan",
"alpha3": "JPN"
}
},
{
"iij": {
"asn": 2497
},
"ix": {
"name": "Equinix Los Angeles"
},
"cc": {
"country_code": "US",
"name": "United States of America",
"alpha3": "USA"
}
},
{
"iij": {
"asn": 2497
},
"ix": {
"name": "NYIIX New York"
},
"cc": {
"country_code": "US",
"name": "United States of America",
"alpha3": "USA"
}
},
{
"iij": {
"asn": 2497
},
"ix": {
"name": "JPNAP Osaka"
},
"cc": {
"country_code": "JP",
"name": "Japan",
"alpha3": "JPN"
}
}
]
Table Format:
ASn Internet Exchange Country Code Country Name
0 2497 JPNAP Tokyo JP Japan
1 2497 SIX Seattle US United States of America
2 2497 Equinix San Jose US United States of America
3 2497 Equinix Ashburn US United States of America
4 2497 Equinix Hong Kong HK Hong Kong
5 2497 Equinix New York US United States of America
6 2497 HKIX HK Hong Kong
7 2497 Equinix Singapore SG Singapore
8 2497 DE-CIX Frankfurt DE Germany
9 2497 SGIX SG Singapore
10 2497 LINX LON1 GB United Kingdom of Great Britain and Northern I...
11 2497 Equinix Palo Alto US United States of America
12 2497 DIX-IE JP Japan
13 2497 Equinix Los Angeles US United States of America
14 2497 NYIIX New York US United States of America
15 2497 JPNAP Osaka JP Japan