In that case, it’s best to build from source. That way, you know exactly what’s being built and can avoid problems that sometimes occur with precompiled packages. Don't use packages nor ports. :-)
Here's a script that fetches and builds from source. You may need to adjust it.
#!/bin/sh
# Build NumPy + pandas from source on GhostBSD/FreeBSD without ports/pkg.
# Installs into: ~/local
# Creates venv at: ~/pandas-venv
# Logs to: ~/bootstrap-pandas.log
set -eu
LOGFILE="$HOME/bootstrap-pandas.log"
exec > "$LOGFILE" 2>&1
MAKE_VER="4.4.1"
OPENBLAS_VER="0.3.27"
VENV_DIR="$HOME/pandas-venv"
PREFIX="$HOME/local"
SRC="$HOME/src"
# Choose Python
if command -v python3.11 >/dev/null 2>&1; then
PYBIN="$(command -v python3.11)"
elif command -v python3 >/dev/null 2>&1; then
PYBIN="$(command -v python3)"
else
echo "No python3 found. Please install a system Python first." >&2
exit 1
fi
USE_OPENMP="${USE_OPENMP:-0}"
log() {
printf "\n[BOOTSTRAP] %s\n" "$*"
}
require_tool() {
if ! command -v "$1" >/dev/null 2>&1; then
echo "Missing required tool: $1" >&2
exit 1
fi
}
# --- Checks ---
for t in fetch tar sed awk uname cc; do require_tool "$t"; done
OSNAME=$(uname -s)
if [ "$OSNAME" != "FreeBSD" ]; then
echo "This script is for FreeBSD/GhostBSD only." >&2
exit 1
fi
mkdir -p "$SRC" "$PREFIX"/bin "$PREFIX"/lib "$PREFIX"/include "$HOME/.cache"
# --- Step 1: Build GNU make ---
if ! command -v gmake >/dev/null 2>&1; then
log "Building GNU make $MAKE_VER"
cd "$SRC"
fetch "https://ftp.gnu.org/gnu/make/make-${MAKE_VER}.tar.gz"
tar xzf "make-${MAKE_VER}.tar.gz"
cd "make-${MAKE_VER}"
./configure --prefix="$PREFIX"
make
make install
PATH="$PREFIX/bin:$PATH"
else
PATH="$PREFIX/bin:$PATH"
log "Using existing gmake"
fi
# --- Step 2: Build OpenBLAS ---
log "Building OpenBLAS $OPENBLAS_VER"
cd "$SRC"
fetch "https://github.com/OpenMathLib/OpenBLAS/archive/refs/tags/v${OPENBLAS_VER}.tar.gz"
tar xzf "v${OPENBLAS_VER}.tar.gz"
cd "OpenBLAS-${OPENBLAS_VER}"
if [ "$USE_OPENMP" = "1" ]; then
gmake DYNAMIC_ARCH=1 NO_AFFINITY=1 USE_OPENMP=1
else
gmake DYNAMIC_ARCH=1 NO_AFFINITY=1 USE_OPENMP=0
fi
gmake PREFIX="$PREFIX" install
CPPFLAGS="-I${PREFIX}/include ${CPPFLAGS:-}"
LDFLAGS="-L${PREFIX}/lib -Wl,-rpath,${PREFIX}/lib ${LDFLAGS:-}"
LD_LIBRARY_PATH="${PREFIX}/lib:${LD_LIBRARY_PATH:-}"
export CPPFLAGS LDFLAGS LD_LIBRARY_PATH PATH
# --- Step 3: Python venv ---
log "Creating Python venv at $VENV_DIR"
"$PYBIN" -m venv "$VENV_DIR"
. "$VENV_DIR/bin/activate"
python -V
log "Upgrading pip toolchain"
python -m pip install --upgrade pip setuptools wheel
python -m pip install ninja meson-python scikit-build-core Cython
# --- Step 4: NumPy ---
log "Building NumPy from source"
export NPY_BLAS_ORDER=openblas
export NPY_LAPACK_ORDER=openblas
export BLAS="${PREFIX}/lib/libopenblas.a"
export LAPACK="${PREFIX}/lib/libopenblas.a"
python -m pip install --no-binary :all: "numpy>=2.0,<3.0"
# --- Step 5: pandas ---
log "Building pandas from source"
python -m pip install --no-binary :all: pandas
# --- Step 6: Smoke test ---
log "Testing installation"
python <<'PY'
import numpy, pandas
print("NumPy:", numpy.__version__)
print("pandas:", pandas.__version__)
import numpy as np
print(np.eye(3) @ np.random.rand(3,3))
print(pandas.DataFrame({"x":[1,2,3]}).describe())
PY
log "Success! Activate with:"
echo " . \"$VENV_DIR/bin/activate\""
log "NumPy & pandas built against OpenBLAS in $PREFIX/lib"
