OpenLists is a collection of lists that curate open resources and materials in the areas of science and computation.
This collection is maintained by Tom Donoghue, and managed through the Github organization.
The collection of OpenLists includes:
- Git Resources
- Python Resources
- Math & Stats Resources
- Digital Signal Processing Resources
- Open Electrophysiological Data
- Open Electrophysiological Software
- Spike Resources
- Open Task Software & Resources
- NeuroOntologies
- Other Lists
OpenLists is a collection of resources for learning and doing certain tasks, and/or finding available tools, data, and resources. The goal of these collections is to make it easier to find and navigate through available materials.
The 'Open' part of 'OpenLists' means both that these lists are openly available, and that all referenced materials should be open-access and/or open-source, and (where applicable) should have permissive licenses that allow for re-use.
Note that being included in an OpenList collection is not an endorsement. Although listed resources are selected for being hopefully useful, there is no systematic evaluation or validation of each listed resource.
The scope of 'OpenLists' is broadly science & computation, with a focus on open-science and open-access materials and approaches. Some of the materials are more specifically related to cognitive and computational neuroscience, with a focus on electrophysiology.
'OpenLists' welcomes contributions and suggestions from the community!
If you would like to suggest a new resource, please open an issue on Github on the relevant repository, and/or directly open a pull request with the suggested update.
If you find an issue with a listed repository, please open an issue, and we can edit or remove the listing.
We are also open to adding new lists of materials, or linking to existing collections. For that, please open an issue on the overview repository.
Note that to interact with the OpenLists organization you must follow the Code of Conduct.