LEdoian
/
birdvisu
1
0
Fork 0
Code Issues Releases Activity
Visualisation of OSPF network topology as seen by the BIRD routing daemon.
You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
77 Commits
10 Branches
0 Tags
12 MiB
PostScript 99.9%
 
topo-mov
topo_v3
ann_interfaces
svg
styling
moving_topology
master
older_libs
visu_broken
old_stateparser
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from '923b523e84'
${ noResults }
Go to file
LEdoian 923b523e84 Let AnnotatedTopology have a VertexFinder attached 
Annotators may want to match vertices based on partial information.
Especially, with split visualisation.ospf, we want to be able to match
for networks even without the full details (like DRs or all the
current prefixes.)

This finally uses the VertexFinder :-) Also, it is definitely not a
dataclass, who wrote that? ;-)
 		1 year ago
birdvisu Let AnnotatedTopology have a VertexFinder attached 1 year ago
design_notes Add note about supported OSPFv3 2 years ago
docs Ensure, that sphinx works 1 year ago
snippets Merge remote-tracking branch 'gitea/toolchain_setup' 1 year ago
.gitignore Merge branch 'socket_api' 1 year ago
Makefile Add a generator for current state 2 years ago
README.md Unify the two READMEs 1 year ago
poor_mans_visualisation.py Start reimplementing poor_mans_visualisation.py 1 year ago
pyproject.toml Initial version of packaging 2 years ago
reference.ospf Split visualisation directives to separate file. 1 year ago
visualisation.ospf Split visualisation directives to separate file. 1 year ago

README.md
Unescape Escape

A simple tool for visualising OSPF network topology as seen by BIRD

Birdvisu is a library and a graphical app to visualize routing topologies of OSPF. It does not implement OSPF on its own, but rather exports current state from BIRD – that's where the name comes from.

The main use case is comparing a reference topology (e.g. a known good one) to the current state. This allows Birdvisu to show failed links and other anomailes in the network.

Also, this is the project for my Bachelor thesis.

Installation

Run pip install -e .. You can use a virtualenv if you wish (recommended).

A demo is located in ./poor_mans_visualisation.py, if that runs, everything should be working.

Documentation

Documentation is built using Sphinx by running make in the docs/ directory.

Licence

I have not decided yet, so please ask for terms if you want to use this in some non-trivial way. Obviously this is source available :-)