Skip to main content

ImJoy Plugin Engine for running Python plugins locally or remotely from ImJoy.io

Project description

# ImJoy Plugin Engine
The plugin engine used for running python plugins in ImJoy (https://imjoy.io).

## Installation (Desktop App)

If you want to use the plugin engine from a desktop environment, download the latest ImJoy-App from [here](https://github.com/oeway/ImJoy-App/releases). Follow the instructions according to different operating systems.

You will get an executable file for starting the Plugin Engine.

## Installation (Linux servers/clusters)

For using it through a command line interface on a Linux host, run this command in your terminal to install the plugin engine:
```bash
wget https://raw.githubusercontent.com/oeway/ImJoy-Engine/master/utils/Linux_Install.sh -O - | bash
```

NOTE: When you run the script above, it will first download and install Miniconda3 into `$HOME/ImJoyApp`, it may take considerably amount of space. If you want to uninstall it, run `rm -rf $HOME/ImJoyApp`.

To start the plugin engine, run:
```
export PATH=~/ImJoyApp/bin:$PATH
imjoy --host=0.0.0.0 --port=9527 --serve
```

Please notice that if you are trying to use ImJoy Plugin Engine running on a remote server, please use the ImJoy web App served on your server (`http://YOUR_REMOTE_IP:9527`) instead of `https://imjoy.io`. This is because most browser do not allow a web application served throught `https` to connect to a unsecured server (your remote server). Alternatively, you use proxy to enable `https` for the plugin engine, then you will be able to use it with `https://imjoy.io`.


## Manual Installation
If you are in the following situation:
1) already have a conda environemnt (Anaconda 3 or Miniconda 3)
1) want better control over the installation process
2) having trouble with the installation above

Please follow the manual installation method below:

* If you don't have a conda environemnt, download and install [Miniconda with Python 3.7](https://conda.io/miniconda.html) (or [Anaconda with Python 3.7](https://www.anaconda.com/download/) if you prefer a full installation).

* Start a **Terminal**(Mac and Linux) or **Anaconda Prompt**(Windows), then run the following command:

```
conda -V && pip install -U imjoy
```

* If you encountered any error related to `git` or `pip`, try to run : `conda install -y git pip` before the above command. (Otherwise, please check **FAQs**.)

To use it after the installation:
* Run `imjoy` command in a **Terminal** or **Anaconda Prompt**, and keep the window running.

* Go to https://imjoy.io, connect to the plugin engine. For the first time, you will be asked to fill a token generated by the plugin engine from the previous step. Once connected, you can start to run python plugin through the plugin engine.

## Upgrading

Normally, the Plugin Engine will upgrade itself when it starts.
In case you have problem with starting or upgrading the App, try to manually upgrade it by running the following command in a **Terminal**(Mac and Linux) or **Anaconda Prompt**(Windows):
```
PATH=~/ImJoyApp/bin:$PATH pip install -U imjoy
```

## Accessing the ImJoy Engine Conda environment
If you installed the Plugin Engine with the [ImJoyEngine](https://github.com/oeway/ImJoy-Engine/releases), it will setup an Miniconda environment located in `~/ImJoyApp`.

To access the environment on Linux and Mac, you just need to add `~/ImJoyApp/bin` to your `$PATH`:
```
export PATH=~/ImJoyApp/bin:$PATH

# now you can use command such as `imjoy`, `conda`, `pip`, `python` provided from ~/ImJoyApp
imjoy

```
For windows, you can use powershell to add the ImJoyApp to `$env.Path`:
```
$env:Path = '%systemdrive%%homepath%\ImJoyApp;%systemdrive%%homepath%\ImJoyApp\Library\bin;%systemdrive%%homepath%\ImJoyApp\Scripts;' + $env:Path;

# now you can use command such as `imjoy`, `conda`, `pip`, `python` provided from ~/ImJoyApp
imjoy
```

## Uninstall/remove ImJoy Engine
In order to uninstall or remove ImJoy Engine, you need to remove two folders located in your home/user folder: `ImJoyApp` and `ImJoyWorkspace`.

* `ImJoyApp` contains a Miniconda environemnt and the virtual environemtns used for running ImJoy plugins
* `ImJoyWorkspace` contains user data for each ImJoy workspace, you may want to backup the data.

On Linux/OSX, you can run the following command:
```
rm -rf $HOME/ImJoyApp
rm -rf $HOME/ImJoyWorkspace # please backup important data inside this folder
```
On windows, it's typically located in `C:\Users\<CurrentUserName>`, you can remove `ImJoyApp` and `ImJoyWorkspace` manually.

## More details and FAQs in [Docs](https://imjoy.io/docs/#/user_manual)


Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

imjoy-0.7.52.tar.gz (36.0 kB view details)

Uploaded Source

Built Distribution

imjoy-0.7.52-py3-none-any.whl (42.0 kB view details)

Uploaded Python 3

File details

Details for the file imjoy-0.7.52.tar.gz.

File metadata

  • Download URL: imjoy-0.7.52.tar.gz
  • Upload date:
  • Size: 36.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/39.1.0 requests-toolbelt/0.9.1 tqdm/4.25.0 CPython/3.6.8

File hashes

Hashes for imjoy-0.7.52.tar.gz
Algorithm Hash digest
SHA256 2c6385bb67cefb389aaaea3012c6f8705399f4e54b0e07af5d8e753e18bf4b94
MD5 12e989aaf4c91a27ec6b175b57e43a2e
BLAKE2b-256 9d8e56751c94a53cf594664a8277f11dbbf0183db9724ddefd993ec9bf0bd0af

See more details on using hashes here.

File details

Details for the file imjoy-0.7.52-py3-none-any.whl.

File metadata

  • Download URL: imjoy-0.7.52-py3-none-any.whl
  • Upload date:
  • Size: 42.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.21.0 setuptools/39.1.0 requests-toolbelt/0.9.1 tqdm/4.25.0 CPython/3.6.8

File hashes

Hashes for imjoy-0.7.52-py3-none-any.whl
Algorithm Hash digest
SHA256 e4f3692c1cda27784bcf09ba179c5a20d0f9918320fb30fc6799d9fecf623608
MD5 ff05738097a212053aae583cd1f0755e
BLAKE2b-256 2e97ac11b4c4b4bd7f374945f23b2c678be4f79c84275f5da660f54dae142510

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page