Download the tarball, transfer it to your FreeBSD machine and extract it, afterwards run python setup.py install and you’re done!

EDIT: Just to add on that, you can also install the tarballs with pip now.

On the system that has access to internet

The pip download command lets you download packages without installing them:

pip download -r requirements.txt

(In previous versions of pip, this was spelled pip install --download -r requirements.txt.)

On the system that has no access to internet

Then you can use

pip install --no-index --find-links /path/to/download/dir/ -r requirements.txt

to install those downloaded modules, without accessing the network.

For Pip 8.1.2 you can use pip download -r requ.txt to download packages to your local machine.

offline python. for doing this I use virtualenv (isolated Python environment)

1) install virtualenv
online with pip:

pip install virtualenv --user

or offline with whl: go to this link , download last version (.whl or tar.gz) and install that with this command:

pip install virtualenv-15.1.0-py2.py3-none-any.whl --user

by using --user you don’t need to use sudo pip….

2) use virtualenv

on online machine select a directory with terminal cd and run this code:

python -m virtualenv myenv
cd myenv
source bin/activate
pip install Flask

after installing all the packages, you have to generate a requirements.txt so while your virtualenv is active, write

pip freeze > requirements.txt

open a new terminal and create another env like myenv2.

python -m virtualenv myenv2
cd myenv2
source bin/activate
cd -
ls

now you can go to your offline folder where your requirements.txt and tranferred_packages folder are in there. download the packages with following code and put all of them to tranferred_packages folder.

pip download -r requirements.txt

take your offline folder to offline computer and then

python -m virtualenv myenv2
cd myenv2
source bin/activate
cd -
cd offline
pip install --no-index --find-links="./tranferred_packages" -r requirements.txt

what is in the folder offline [requirements.txt , tranferred_packages {Flask-0.10.1.tar.gz, …}]

check list of your package

pip list

note: as we are in 2017 it is better to use python 3. you can create python 3 virtualenv with this command.

virtualenv -p python3 envname

Using wheel compiled packages.

bundle up:

$ tempdir=$(mktemp -d /tmp/wheelhouse-XXXXX)
$ pip wheel -r requirements.txt --wheel-dir=$tempdir
$ cwd=`pwd`
$ (cd "$tempdir"; tar -cjvf "$cwd/bundled.tar.bz2" *)

copy tarball and install:

$ tempdir=$(mktemp -d /tmp/wheelhouse-XXXXX)
$ (cd $tempdir; tar -xvf /path/to/bundled.tar.bz2)
$ pip install --force-reinstall --ignore-installed --upgrade --no-index --no-deps $tempdir/*

Note wheel binary packages are not across machines.

More ref. here: https://pip.pypa.io/en/stable/user_guide/#installation-bundles

If you want install python libs and their dependencies offline, finish following these steps on a machine with the same os, network connected, and python installed:

1) Create a requirements.txt file with similar content (Note – these are the libraries you wish to download):

Flask==0.12
requests>=2.7.0
scikit-learn==0.19.1
numpy==1.14.3
pandas==0.22.0

One option for creating the requirements file is to use pip freeze > requirements.txt. This will list all libraries in your environment. Then you can go in to requirements.txt and remove un-needed ones.

2) Execute command mkdir wheelhouse && pip download -r requirements.txt -d wheelhouse to download libs and their dependencies to directory wheelhouse

3) Copy requirements.txt into wheelhouse directory

4) Archive wheelhouse into wheelhouse.tar.gz with tar -zcf wheelhouse.tar.gz wheelhouse

Then upload wheelhouse.tar.gz to your target machine:

1) Execute tar -zxf wheelhouse.tar.gz to extract the files

2) Execute pip install -r wheelhouse/requirements.txt --no-index --find-links wheelhouse to install the libs and their dependencies

I had a similar problem. And i had to make it install the same way, we do from pypi.

I did the following things:

1. Make a directory to store all the packages in the machine that have internet access.

   mkdir -p /path/to/packages/
   

2. Download all the packages to the path

Edit: You can also try:

python3 -m pip wheel --no-cache-dir -r requirements.txt -w /path/to/packages

pip download -r requirements.txt -d /path/to/packages

Eg:- ls /root/wheelhouse/  # **/root/wheelhouse** is my **/path/to/packages/**
total 4524
-rw-r--r--. 1 root root   16667 May 23  2017 incremental-17.5.0-py2.py3-none-any.whl
-rw-r--r--. 1 root root   34713 Sep  1 10:21 attrs-18.2.0-py2.py3-none-any.whl
-rw-r--r--. 1 root root 3088398 Oct 15 14:41 Twisted-18.9.0.tar.bz2
-rw-r--r--. 1 root root  133356 Jan 28 15:58 chardet-3.0.4-py2.py3-none-any.whl
-rw-r--r--. 1 root root  154154 Jan 28 15:58 certifi-2018.11.29-py2.py3-none-any.whl
-rw-r--r--. 1 root root   57987 Jan 28 15:58 requests-2.21.0-py2.py3-none-any.whl
-rw-r--r--. 1 root root   58594 Jan 28 15:58 idna-2.8-py2.py3-none-any.whl
-rw-r--r--. 1 root root  118086 Jan 28 15:59 urllib3-1.24.1-py2.py3-none-any.whl
-rw-r--r--. 1 root root   47229 Jan 28 15:59 tqdm-4.30.0-py2.py3-none-any.whl
-rw-r--r--. 1 root root    7922 Jan 28 16:13 constantly-15.1.0-py2.py3-none-any.whl
-rw-r--r--. 1 root root  164706 Jan 28 16:14 zope.interface-4.6.0-cp27-cp27mu-manylinux1_x86_64.whl
-rw-r--r--. 1 root root  573841 Jan 28 16:14 setuptools-40.7.0-py2.py3-none-any.whl
-rw-r--r--. 1 root root   37638 Jan 28 16:15 Automat-0.7.0-py2.py3-none-any.whl
-rw-r--r--. 1 root root   37905 Jan 28 16:15 hyperlink-18.0.0-py2.py3-none-any.whl
-rw-r--r--. 1 root root   52311 Jan 28 16:15 PyHamcrest-1.9.0-py2.py3-none-any.whl
 -rw-r--r--. 1 root root   10586 Jan 28 16:15 six-1.12.0-py2.py3-none-any.whl

3. Tar the packages directory and copy it to the Machine that doesn’t have internet access. Then do,

   cd /path/to/packages/
   tar -cvzf packages.tar.gz .  # not the . (dot) at the end
   

Copy the packages.tar.gz into the destination machine that doesn’t have internet access.

4. In the machine that doesn’t have internet access, do the following (Assuming you copied the tarred packages to /path/to/package/ in the current machine)

   cd /path/to/packages/
   tar -xvzf packages.tar.gz
   mkdir -p $HOME/.config/pip/
   vi $HOME/.config/pip/pip.conf
   

and paste the following content inside and save it.

[global]
timeout = 10
find-links = file:///path/to/package/
no-cache-dir = true
no-index = true

5. Finally, i suggest you use, some form of virtualenv for installing the packages.

   virtualenv -p python2 venv # use python3, if you are on python3
   source ./venv/bin/activate
   pip install <package>
   

You should be able to download all the modules that are in the directory /path/to/package/.

Note: I only did this, because i couldn’t add options or change the way we install the modules. Otherwise i’d have done

pip install --no-index --find-links /path/to/download/dir/ -r requirements.txt

Let me go through the process step by step:

1. On a computer connected to the internet, create a folder.

   $ mkdir packages
   $ cd packages

2. open up a command prompt or shell and execute the following command:

   Suppose the package you want is tensorflow

   $ pip download tensorflow

3. Now, on the target computer, copy the packages folder and apply the following command

  $ cd packages
  $ pip install 'tensorflow-xyz.whl' --no-index --find-links '.'

Note that the tensorflow-xyz.whl must be replaced by the original name of the required package.

Download the wheel file (for example dlb-0.5.0-py3-none-any.whl) from Pypi and

pip install dlb-0.5.0-py3-none-any.whl

As a continues to @chaokunyang answer, I want to put here the script I write that does the work:

1. Write a "requirements.txt" file that specifies the libraries you want to pack.
2. Create a tar file that contains all your libraries (see the Packer script).
3. Put the created tar file in the target machine and untar it.
4. run the Installer script (which is also packed into the tar file).

"requirements.txt" file

docker==4.4.0

Packer side: file name: "create-offline-python3.6-dependencies-repository.sh"

#!/usr/bin/env bash

# This script follows the steps described in this link:
# https://stackoverflow.com/a/51646354/8808983

LIBRARIES_DIR="python3.6-wheelhouse"

if [ -d ${LIBRARIES_DIR} ]; then
    rm -rf ${LIBRARIES_DIR}/*
else
    mkdir ${LIBRARIES_DIR}
fi

pip download -r requirements.txt -d ${LIBRARIES_DIR}

files_to_add=("requirements.txt" "install-python-libraries-offline.sh")

for file in "${files_to_add[@]}"; do
    echo "Adding file ${file}"
    cp "$file" ${LIBRARIES_DIR}
done

tar -cf ${LIBRARIES_DIR}.tar ${LIBRARIES_DIR}

Installer side: file name: "install-python-libraries-offline.sh"

#!/usr/bin/env bash

# This script follows the steps described in this link:
# https://stackoverflow.com/a/51646354/8808983

# This file should run during the installation process from inside the libraries directory, after it was untared:
# pythonX-wheelhouse.tar -> untar -> pythonX-wheelhouse
# |
# |--requirements.txt
# |--install-python-libraries-offline.sh


pip3 install -r requirements.txt --no-index --find-links .

For Windows I have used below things

Internet Connection

1.Create directory with any name.I have created with "repo"

2.Download libraries using below command (it will download not install)

pip download libraray_name -d"C:repo"

pip download openpyxl -d"C:repo"

3. Then you will find multiple .whl extension files

4. copy all the filename in requirements.txt
   

No Internet Connection

5. Now Move this folder and files to PC where no internet connection and run the below command.

pip install -r requirements.txt --find-links=C:repo --no-index

You can read the detailed blog Link

For another platform with another Python version

To download python packages for another platform, you need the --platform parameter in combination with the --only-binary=:all: parameter. To also define the Python version of the target system, use the --python-version parameter.

Example scenario: You are on Windows and want to download numpy for a Linux system that uses Python 3.9. Use the following command to download numpy with all its dependencies for your target system:

pip download --platform=manylinux1_x86_64 --only-binary=:all: --python-version=3.9 numpy

To install numpy on your target system, copy the downloaded files to it and install the package via:

pip install --no-index --find-links /path/to/package/files numpy

Instead of defining a particular package name, you can also use a requirements file for both commands. Just replace the package name by -r requirements.txt, for example.