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-coreinstalled - 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-linuxon Linuxfeagi-bv-macoson macOSfeagi-bv-windowson 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
1 maintainer
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- Download URL: feagi_bv-2.3.32-py3-none-any.whl
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- Tags: Python 3
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The following attestation bundles were made for feagi_bv-2.3.32-py3-none-any.whl:
Publisher:
release.yml on feagi/brain-visualizer
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Permalink:
feagi/brain-visualizer@8c4f703f66cb22082bc1ac3d89c6a72f79842641 -
Branch / Tag:
refs/tags/v2.3.32 - Owner: https://github.com/feagi
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public
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