Register Zarrtraj (#157)

* register zarrtraj

Author: ljwoods2

mdakits/zarrtraj/metadata.yaml

@@ -0,0 +1,115 @@
+#------------------------------------------------------------
+# Required entries
+#------------------------------------------------------------
+## str: name of the project (the respository name)
+project_name: zarrtraj
+
+## List(str): a link to the authors file (preferred) or a list of authors 
+authors:
+  - https://github.com/Becksteinlab/zarrtraj/blob/main/AUTHORS.md
+
+## List(str): a list of maintainers
+## Please note these _must_ be GitHub handles
+## The maintainers will be tagged in issues if their MDAKit is failing.
+maintainers:
+  - ljwoods2
+  - hmacdope
+
+## str: a free form description of the mdakit
+description:
+    Zarrtraj is a kit that provides the ability to stream & analyze H5MD trajectories from cloud storage.
+
+## List(str): a list of keywords which describe the mdakit
+keywords:
+  - streaming
+  - trajectory
+  - zarr
+  - h5md
+  - hdf5
+  - AWS S3 Buckets
+  - Google Cloud Buckets
+  - Azure Blob Storage
+  - Azure Data Lake
+
+## str: the license the mdakit falls under
+## See https://spdx.org/licenses/ for valid license specifiers
+license: GPL-3.0-or-later
+
+## str: the link to the project's code
+## Please note that this is not limited to GitHub! Can be Gitlab, etc..
+project_home: https://github.com/Becksteinlab/zarrtraj
+
+## str: the link to the project's documentation
+documentation_home: https://zarrtraj.readthedocs.io/en/latest/?badge=latest
+
+## str: the type of documentation available [UserGuide, API, README]
+documentation_type: UserGuide + API
+
+#------------------------------------------------------------
+# Optional entries
+#------------------------------------------------------------   
+## List(str): a list of commands to use when installing the latest
+## release of the code. Note: only one installation method can currently
+## be defined. We suggest using mamba where possible (e.g.
+##   mamba -c conda-forge install MYPROJECT
+## for a conda package installation).
+## Here we use a simple PyPi installation:
+install:
+  - mamba install -c conda-forge zarrtraj
+
+## List(str): a list of commands to use when installing the mdakit from its
+## source code.
+src_install:
+  - pip install git+https://github.com/Becksteinlab/zarrtraj@main
+
+## str: the package name used to import the mdakit
+import_name: zarrtraj
+
+## str: a specification for the range of Python versions supported by this MDAKit
+python_requires: ">=3.10"
+
+## str: a specification for the range of MDAnalysis versions supported by this MDAKit
+mdanalysis_requires: ">=2.1.0"
+
+## List(str): a list of commands to use when attempting to run the MDAKit's tests
+## If you package your tests inside your package then you can typically use the 
+##     pytest --pyargs MYPACKAGE
+## command as shown below. 
+## Otherwise you need to include commands to make the tests available. 
+## For example, if the tests are in the repository at the top level under `./tests`:
+## First use `git clone latest` to either clone the top commit for "development code" checks or check out
+## the latest tag for "latest release" checks. Then then run pytest:
+##    - git clone latest
+##    - pytest -v ./tests
+## Feel free to ask for advice on your pull request!
+run_tests:
+  - pytest --pyargs zarrtraj
+
+## List(str): a list of commands to use to install the necessary dependencies required
+## to run the MDAKit's tests.
+## The default below _might_ be sufficient or you might not even need MDAnalysisTests:
+## make sure that it is appropriate for how you run tests.
+test_dependencies:
+  - mamba env update --file https://raw.githubusercontent.com/Becksteinlab/zarrtraj/main/devtools/conda-envs/test_env.yaml --name test
+
+## str: the organisation name the MDAKit falls under
+project_org: Becksteinlab
+
+## str: the development status of the MDAKit
+## See https://pypi.org/classifiers/ for development status classifiers.
+development_status: "Development Status :: 4 - Beta"
+
+## List(str) a list of publications to cite when using the MDAKit
+## Links to scientific publications or stable URLs (typically of the form
+## https://doi.org/<DOI> or to a preprint server)
+publications:
+  - https://doi.org/10.25080/Majora-629e541a-00e
+  - https://doi.org/10.1002/jcc.21787
+  - https://doi.org/10.1016/j.cpc.2014.01.018
+  - https://doi.org/10.25080/majora-1b6fd038-005
+
+## str: a link to the MDAKit's community (mailing list, github discussions, etc...)
+community_home: https://github.com/Becksteinlab/zarrtraj/discussions
+
+## str: a link to the MDAKit's changelog
+changelog: https://github.com/Becksteinlab/zarrtraj/blob/main/CHANGELOG.md