ntcpcalc.py Files

python based ntcp calculation (LKB model, relative seriality model)

Brought to you by: rennau

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size
example_differential_DVH_CC.txt	2013-12-23	62.8 kB
models.inp	2013-12-23	2.2 kB
ntcpcalc.py	2013-12-23	7.0 kB
Totals: 3 Items		72.0 kB

Other Useful Business Software

Forever Free Full-Stack Observability | Grafana Cloud

Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.

Create free account

Fully Managed MySQL, PostgreSQL, and SQL Server

Automatic backups, patching, replication, and failover. Focus on your app, not your database.

Cloud SQL handles your database ops end to end, so you can focus on your app.

Try Free

Forever Free Full-Stack Observability | Grafana Cloud

Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

Create free account

Recommended Projects

ABE - A bioassay analysis program
ABE is a small, fast and convenient program for visualizing and modeling experimental bioassay data. The data can be modeled using either polynomials or a more specific four-parameter model based upon the standard, sigmoidal dose-response curve.
Refit
The automatic type-safe REST library for .NET Core, Xamarin and .NET.
Fractal View
Fractal View is a fractal viewing application used for exploration of common fractal sets. It runs in fullscreen, supports four different fractal sets, has 22 different color palettes, saves in png format, does antialiasing, and zooms in all sets.
jif3d
3D Joint Inversion Framework
Ludwig AI
Low-code framework for building custom LLMs, neural networks