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fxtensor-bayesnet

PyPIInfrastructure

No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 10 Oct 2026. How this is checked

fxtensor-bayesnet is an MIT-licensed Python package for config-driven inference over discrete Bayesian networks. It supports Bayesian updating, scenario comparison, root-cause inference, and daily snapshots for developers and data scientists.

Inferred · not functionally tested

Open SourceMITCLISelf-hosted
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Overview

6 features

Purpose: Running repeatable Bayesian network inference, scenario comparisons, and root-cause analysis from configuration files.

Inferred · not functionally tested

Audience: developers and data scientists

Inferred · not functionally tested

Functions: Unknown

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

In the Other data science & ML space, fxtensor-bayesnet takes a focused approach. Inferred · not functionally tested: It focuses on running repeatable Bayesian network inference, scenario comparisons, and root-cause analysis from configuration files. Inferred · not functionally tested: It is built as an open-source project for developers and data scientists. Basis unknown · not verified: fxtensor-bayesnet is open source under the MIT license. Basis unknown · not verified: It runs on the command line, and it can be self-hosted.

It is developed by salmonsnare, and it first shipped in 2026. The project is developed in the open on GitHub with 4 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include bayesian updating, scenario comparison, and root-cause inference.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Bayesian updating
  • Scenario comparison
  • Root-cause inference
  • Daily snapshots
  • Config-driven inference
  • Discrete networks

Topics: Inferred · not functionally tested

Tags
bayesian-networksprobabilistic-graphical-modelsscenario-analysisdecision-support

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed10 Oct · 00:48 UTC
    fxtensor-bayesnet seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about fxtensor-bayesnet

What is fxtensor-bayesnet?
Inferred · not functionally tested: Fxtensor-bayesnet focuses on running repeatable Bayesian network inference, scenario comparisons, and root-cause analysis from configuration files. It is catalogued under Other data science & ML on PulseGate.
Who should use fxtensor-bayesnet?
Inferred · not functionally tested: fxtensor-bayesnet is an open-source project built for developers and data scientists.
Does fxtensor-bayesnet have a free plan?
Basis unknown · not verified: Yes — fxtensor-bayesnet is open source under the MIT license and free to use.
What platforms does fxtensor-bayesnet run on?
Basis unknown · not verified: fxtensor-bayesnet runs on the command line. It can also be self-hosted.
Is fxtensor-bayesnet still active?
The GitHub repository shows 4 commits in the last 90 days.
What are alternatives to fxtensor-bayesnet?
Similar projects tracked by PulseGate include AutoTinker, EMTIOP, and eosquality.AutoTinkerEMTIOPeosquality
Who makes fxtensor-bayesnet?
fxtensor-bayesnet is developed by salmonsnare.
When did fxtensor-bayesnet launch?
fxtensor-bayesnet first shipped in 2026.

Also in Other data science & ML

Same category — not a similarity match