https://pypi.org/project/cider-cli/

Cider-cli is a cli tool for producing CIDR maps, also known as "ip census maps", "ip maps", or "address space maps". These are very powerful graphs in your developer tool kit for understanding network traffic and visualizing address space in an organized fashion: The goal is to solve and visualize complexities in address spaces, trends which may be clearer simply with a little color:

Cider-cli is currently an unpublished tool, but for beta testing purposes you can install via:

pip install cider-cli

git clone https://github.com/lramos0/cider-cli
cd cider-cli
pip install -e .

You can produce CIDR maps on an input, see supported data sources, using:

cider {input} --kind {geofeed|maxmind|pcap|cider} [options]

CSV files with lines of the form:

ip_prefix,cc,region,city,...

Run:

cider ripe.csv --kind geofeed -o ripe_map.html

The input must be the directory containing:

GeoLite2-City-Blocks-IPv4.csv GeoLite2-City-Locations-en.csv

Run:

cider GeoLite2-City-CSV_20250902 --kind maxmind -o maxmind_map.html

You can generate a quick pcap of outbound traffic:

sudo tcpdump -i en0 -w capture.pcap 'tcp[tcpflags] & tcp-syn != 0'

Visualize it:

ipmap map capture.pcap --kind pcap -o pcap_map.html

Currently, the formats allow for the following options (default is html output). This can be set with the output tag:

--output result.html
--output result.png --output-format png

cider ripe.20250903.geo.csv \
--kind geofeed \
--view /16 \
--mode primary \
--colorscale default \
--output ripe_map.html

Every visualization is an interactive Plotly map with:

1. Clickable mode toggles

2. Primary org / country count / prefix count views

3. Responsive scaling

4. Exportable HTML or PNG

You can find more details about this project on my official website Logan Ramos