The mission of ViSUS.org is to provide support for the scientific community with Big Data, management, analysis and visualization tools.

In this website we provide access to open source software tools and libraries such as the ViSUS framework and the PIDX library. These softwares are distributed under the permissive BSD license (see LICENSE file).

For conda see docs/conda-installation.md.

Make sure pip is installed, updated and in PATH. The installation is tested on python3.7, so it is recommended.

pip install --upgrade OpenVisus
# configure OpenVisus (one time)
python -m OpenVisus configure 
# test installation
python -c "from OpenVisus import *"

Notes:

• if you get permission denied error, use pip install --user.
• if you need a minimal installation without the GUI replace OpenVisus with OpenVisusNoGui
• If you want to create an isolated virtual environment with virtualenv:

   # make sure venv is latest
   pip install --upgrade virtualenv
   # create a virtual environment in current directory
   venv ./ovenv
   # activate the virtual environment
   source ./ovenv/bin/activate

Run the OpenVisus viewer:

python -m OpenVisus viewer

PyQt errors: Sometimes, PyQt (or other packages like pyqt5-sip) is already installed in system and OpenVisus viewer gets confused which package to use. To solve that issue, follow these steps before main installation:

• If on linux, make sure PyQt5 or any of it's related packages are not installed system-wide.
  • For Ubuntu use sudo apt remove python3-pyqt5 to remove pyqt5 and all other related packages listed here.
  • For any Arch based distro, use sudo pacman -Rs python-pyqt5. Same for all other packages like python-pyqt5-sip.
• Remove all pyqt5 packages with pip:
  • pip uninstall pyqt5 PyQt5-sip

You can find OpenViSUS documentation regarding the install, configuration, viewer, and Python package here.

Start with quick_tour.ipynb Jupyter Notebook.

See Samples/jupyter directory.

To run the tutorials on the cloud click this binder link.

Run single Docker OpenVisus server:
docs/docker_modvisus.

Runload-balanced Kubernetes OpenVisus servers: docs/kubernetes.md.

Run load-balanced Docker Swarm OpenVisus servers: docs/docker_swarm_modvisus.md.

See docs/compilation.md.

See docs/convert.md.

In your visus.config, you can specify a proxy scheme, ip, and port for the client (either the viewer or the python package) to use when connecting to an OpenViSUS server. This can be useful in accessing a server that is hosted on an internal network which is only accessible through SSH, for example.

An example visus.config file containing proxy information would look like this:

<visus>
	<Configuration>
		<NetService proxy="socks5://localhost" proxyport="55051"/>
	</Configuration>
	... (The rest of the config follows)
</visus>

The "proxy" variable above contains both the scheme (SOCKS5) and ip (localhost).

A user would need to start the SOCKS5 proxy connection using a client. This can be done using ssh on Linux/MacOS with the following command:

ssh -D 55051 user@server

On Windows, you can enable a SOCKS5 proxy by using PuTTY. More information on that can be found here.

Keep in mind that the port you open the connection with must match the one specified in the visus.config file.