How can I install a conda environment when offline?
PythonAnacondaCondaPython Problem Overview
I would like to create a conda environment on a machine that has no network connection. What I've done so far is:
On a machine that is connected to the internet:
conda create -n python3 python=3.4 anaconda
Conda archived all of the relevant packages into \Anaconda\pkgs
. I put these into a separate folder and moved it to the machine with no network connection. The folder has the path PATHTO\Anaconda_py3\win-64
I tried
conda create -n python=3.4 anaconda --offline --channel PATHTO\Anaconda_py3
This gives the error message
Fetching package metadata:
Error: No packages found in current win-64 channels matching: anaconda
You can search for this package on Binstar with
binstar search -t conda anaconda
What am I doing wrong? How do I tell conda to create an environment based on the packages in this directory?
Python Solutions
Solution 1 - Python
You could try cloning root which is the base env.
conda create -n yourenvname --clone root
Solution 2 - Python
Short answer: copy the whole environment from another machine with the same OS.
Why
Dependency. A package depends on other packages. When you install a package online, the package manager conda
analyzes the package dependencies and install all the required packages for you.
The dependency is especially heavy in anaconda
. Cause anaconda
is a meta package depends on another 160+ packages.
> Meta packages,are packages do not contain actual softwares and simply depend on other packages to be installed.
It's totally absurd to download all these dependencies one by one and install them on the offline machine.
Detail Solution
-
Get
conda
installed on another machine with same OS. Install the packages you need in an isolated virtual environment.# create a env named "myvenv", name it whatever you want # and install the package into this env conda create -n myvenv --copy anaconda
--copy
is used to > Install all packages using copies instead of hard- or soft-linking. -
Find where the environments are stored with
conda info
The 1st value of key "envs directories" is the location. Go there and package the whole sub-folder named "myvenv" (the env name in previous step) into an archive.
-
Copy the archive to your offline machine. Check "envs directories" from
conda info
. And extract the environment from the archive into the env directory on the offline machine. -
Done.
Solution 3 - Python
In addition to copying the pkgs
folder, you need to index it, so that conda
knows how to find the dependencies. See this ticket for more details and this script for an example of indexing the pkgs
folder.
Using --unknown
as @asmeurer suggests will only work if the package you're trying to install has no dependencies, otherwise you will get a "Could not find some dependencies" error.
Cloning is another option, but this will give you all root packages, which may not be what you want.
Solution 4 - Python
Have you tried without the --offline?
conda create -n anaconda python=3.4 --channel PATHTO\Anaconda_py3
This works for me if I am not connected to the Internet if I do have anaconda already on the machine but in another location. If you are connected to the Internet when you run this command you will probably get an error associated with not finding something on Binstar.
Solution 5 - Python
I'm not sure whether this contradicts the other answers or is the same but I followed the instructions in the conda documentation and set up a channel on the local file system.
Then it's a simple matter of moving new package files to the local directory, running conda index
on the channel sub-folder (which should have a name like linux-64
).
I also set the Anaconda config setting offline
to True
as described here but not sure if that was essential.
Hope that helps.
Solution 6 - Python
A lot of the answers here are not 100% related to the "when offline" part. They talk about the rest of OP's question, not reflected in question title.
If you came here because you need offline env creation on top of an existing Anaconda install you can try:
conda create --offline --name $NAME
You can find the --offline
flag documented here
Solution 7 - Python
The pkgs directory is not a channel. The flag you are looking for is --unknown
, which causes conda to include files in the pkgs
directory even if they aren't found in one of the channels.
Solution 8 - Python
Here's what worked for me in Linux -
(a) Create a blank environment - Just create an empty directory under $CONDA_HOME/envs. Verify with - conda info --envs.
(b) Activate the new env - source activate
(c) Download the appropriate package (*.bz2) from https://anaconda.org/anaconda/repo on a machine with internet connection and move it to the isolated host.
(d) Install using local package - conda install
That's it. You can verify by the usual means (python -V, conda list -n
Solution 9 - Python
I found the simplest method to be as follows:
- Run 'conda create --name name package' with no special switches
- Copy the URL of the first package it tried (unsuccessfully) to download
- Use the URL on a connected machine to fetch the tar.bz2
- Copy the tar.bz2 to the offline machine's /home/user/anaconda3/pkgs
- Deploy the tar.bz2 in place
- Delete the now unneeded tar.bz2
- Repeat until the 'conda create' command succeeds
Solution 10 - Python
Here's a solution that may help. It's not very pretty but it gets the job done. So i suppose you have a machine where you have a conda environment in which you've installed all the packages you need. I will refer to this as ENV1 You will have to go to this environment directory and locate it. It is usually found in \Anaconda3\envs
. I suggest compressing the folder but you could just use it as is. Copy the desired environment folder into your offline machine's directory for anaconda environments. This first step should get your new environment to respond to commands like conda activate
.
You will notice though that software like spyder and jupyter don't work anymore (probably because of path differences). My solution to this was to clone the base environment in the offline machine into a new environment that i will refer to as ENV2. What you need to do then is copy the contents of ENV2 into those of ENV1 and replace files.
This should overwrite the files related to spyder, jupyter.. and keep your imported packages intact.