Skip to main content

The Fast Network Simulation Setup (FNSS) core library is a Python library providing a set of features allowing network researchers and engineers to simplify the setup of a network experiment.

These features include the ability to:

  • Parse a topology from a dataset, a topology generator or generate it according to a number of synthetic models.

  • Apply link capacities, link weights, link delays and buffer sizes.

  • Deploy protocol stacks and applications on network nodes.

  • Generate traffic matrices.

  • Generate event schedules.

The core library allows users to export the generated scenarios (topologies, traffic matrices and event schedules) to ns-2, Mininet or AutoNetKit.

It also allows to save scenarios in XML files, which can be later imported by the FNSS Java, C++ and ns-3 libraries.

Metadata

Release files for fnss 0.9.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for fnss 0.9.1
File Size Uploaded Provenance
fnss-0.9.1.tar.gz 73.2 kB Without provenance Details

Release files / fnss-0.9.1.tar.gz

Download URL fnss-0.9.1.tar.gz
Size 73.2 kB
Tags Source
SHA-256 checksum
How to use checksums
8ab9b5869fd89911e93d7c4b087ba86e92b82cbab08882cbb496f5de0142a1e8
BLAKE2b-256 checksum
How to use checksums
da7cfa31c80f64da4d37303a14672f5e49dba7dfc839ea8e74150c0a31046aa6
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.15.0 pkginfo/1.6.0 requests/2.24.0 setuptools/44.1.1 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/2.7.15

Security for fnss 0.9.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page