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
Release files for feagi-bv 2.3.35
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| feagi_bv-2.3.35-py3-none-any.whl | Python 3 | none | any | Details |
Release files / feagi_bv-2.3.35-py3-none-any.whl
| Download URL | feagi_bv-2.3.35-py3-none-any.whl |
|---|---|
| Size | 4.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6bde2b25376f717dceadd82a315111581af2ddb446c32cba889014ff857bf0be
|
|
BLAKE2b-256 checksum How to use checksums |
d291c10ff4202666316b94818d84ed7c657f674f0838a936c4124685df176f93
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 6, 2026.
Transparency log
