Comments (2)
Oh damn, I will look into it.
I'll get back to you!
from steinmetz.
For the time being, you could use the pre-built images from DockerHub:
version: "3"
services:
frontend:
image: loehnertz/steinmetz-frontend
ports:
- 8056:80
volumes:
- data:/app
depends_on:
- backend
backend:
image: loehnertz/steinmetz-frontend
ports:
- 5005:5005
- 5656:5656
environment:
NEO4J_HOST: "database"
NEO4J_PORT: "7687"
EXTERNAL_EXECUTABLE_PATH: "/app/executables/"
depends_on:
- database
database:
image: loehnertz/steinmetz-database
ports:
- 7474
- 7687
environment:
NEO4J_AUTH: "none"
NEO4J_dbms_memory_heap_max__size: "4G"
volumes:
- data:/data
- data:/logs
volumes:
data:
from steinmetz.
Related Issues (20)
- Add a metric for the quality of the dynamic analysis
- Make a distinction between intra-cluster and inter-cluster edges HOT 1
- Devise evaluative metrics for the clusterings
- Add a proof-of-concept for VCS mining
- Add a proof-of-concept for semantic similarity analysis
- Speed up the initial analysis of a newly inserted project
- Merge inner unit nodes into their parents HOT 1
- Upload of large files to the back-end failing HOT 1
- Devise a proper edge weighting formula HOT 1
- Render a textual representation of the clustering in the front-end
- Add 'Walktrap' graph clustering algorithm
- Repair the live re-rendering mode
- Add the 'Chinese Whispers' algorithm
- Run algorithms that need tunable parameters multiple times and use optimal result
- Let the user select which clustering metrics to optimize toward
- Add instrumentation-based dynamic program analysis
- Automatic parameter optimiztion
- Add the other Neo4j-supported graph clustering algorithms
- Add Modularization Quality metric
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