Skip to main content

Brain Visualizer runtime package for FEAGI (meta-package)

Project description

feagi-bv

Python package that bundles Brain Visualizer binaries with a simple launcher API.

Installation

Most users should install the full FEAGI package instead:

pip install feagi  # Includes feagi-core + feagi-bv automatically

Only install feagi-bv directly if:

  • You already have feagi-core installed
  • You're building custom tooling
pip install feagi-bv  # Requires feagi-core separately

This will automatically install the correct platform-specific package for your system:

  • feagi-bv-linux on Linux
  • feagi-bv-macos on macOS
  • feagi-bv-windows on Windows

Usage

from feagi_bv import BrainVisualizer

# Create and configure BV launcher
bv = BrainVisualizer()
bv.load_config("feagi_configuration.toml")

# Start BV process
pid = bv.start()
print(f"Brain Visualizer running (PID: {pid})")

Version Mapping

feagi-bv version = BrainVisualizer binary version

pip install feagi-bv==2.0.3
# ↑ Installs BrainVisualizer v2.0.3 binaries

Architecture

This is a meta-package that installs platform-specific binaries:

  • feagi-bv-linux: Linux x86_64 binaries (~50-70 MB)
  • feagi-bv-macos: macOS universal binaries (~150-200 MB)
  • feagi-bv-windows: Windows x86_64 binaries (~50-70 MB)

Only the binaries for your platform are downloaded.

Dependencies

  • feagi-core>=2.1.0 - FEAGI SDK (core package)
  • toml>=0.10.2 - Configuration parsing

Links

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

feagi_bv-2.3.7-py3-none-any.whl (4.2 kB view details)

Uploaded Python 3

File details

Details for the file feagi_bv-2.3.7-py3-none-any.whl.

File metadata

  • Download URL: feagi_bv-2.3.7-py3-none-any.whl
  • Upload date:
  • Size: 4.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for feagi_bv-2.3.7-py3-none-any.whl
Algorithm Hash digest
SHA256 1b79a82e3a41ea53910c6f15091b42768cbd4708b842723d22fd6db108bfd945
MD5 cf98d3b064e5c9a5b7fcd34afcbe9b74
BLAKE2b-256 6fc57031a7674d64702feb012c18245cddb427c7b59b685ecfc3b8d379b161bd

See more details on using hashes here.

Provenance

The following attestation bundles were made for feagi_bv-2.3.7-py3-none-any.whl:

Publisher: release.yml on feagi/brain-visualizer

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page