nwbview
is a software to display the contents of the binary NWB file format. It is written in Rust for high-performance, memory safety and ease of deployment.
Neurodata Without Borders (NWB) is a standard data format to represent neurophysiology data files. It enables interoperability between neurophysiology data produced by different neuroscience labs. Examples of the data stored in .NWB format range from patch clamp experiments to optical physiology experiments.
The underlying storage technology used by the NWB format is the binary HDF format. While storing the files as binary brings advantages on the read/write speed as well as the file size, it stores the data in a way that is not readable by humans. I.e. one cannot open the file in a text editor to see the contents, thus there is need for a viewer.
The screenshot below shows the nwbview
GUI. The left panel shows the contents of the NWB file in a tree structure. The right panel shows the details of the selected item, which can be a plot, a table or a text.
nwbview
uses the egui Rust GUI library for rendering.
Below are some public NWB data sources that can be displayed with nwbview
.
Note: HDF5 needs to be installed in your system as cargo will try to locate the HDF5 root directory and/or headers.
First install the cargo
package manager and then run the following command to install nwbview
.
cargo install nwbview
Once you completed the installation, simply type nwbview
on the console to run it.
nwbview
The Rust library dependencies are provided in the cargo.toml
file.
Note that the Rust libraries depend on the following system packages that need to be provided.
libgtk-3-dev
librust-atk-dev
libhdf5-serial-dev
The exact names of the packages may differ between systems.
Once all the dependencies are satisfied, go to the directory containing cargo.toml
and run the following command.
cargo run --release
The release flag builds the artifacts with optimizations. Do not specify it when you need to debug.
All contributions are welcome and very much appreciated :)
nwbview
is currently in alpha version. Do not hesitate to create a new issue with your suggestions.
We use Github's issue tracker, pull requests and the discussion interfaces for the contributions.
The pull requests require the approval from a maintainer as well as the CI checks.