DataJoint
Welcome to DataJoint for MATLAB!
DataJoint for MATLAB is a high-level programming interface for relational databases designed to support data processing chains in science labs. DataJoint is built on the foundation of the relational data model and prescribes a consistent method for organizing, populating, and querying data.
For more information, see our general DataJoint docs and DataJoint MATLAB docs.
For Developers: Running Tests Locally
Click to expand details
- Create an
.env
with desired development environment values e.g.
MATLAB_USER=rguzman
MATLAB_LICENSE=IyBCRUd... # For image usage instructions see https://github.com/guzman-raphael/matlab, https://hub.docker.com/r/raphaelguzman/matlab
MATLAB_VERSION=R2019a
MATLAB_HOSTID=XX:XX:XX:XX:XX:XX
MATLAB_UID=1000
MATLAB_GID=1000
MYSQL_TAG=5.7
MINIO_VER=RELEASE.2022-01-03T18-22-58Z
cp local-docker-compose.yaml docker-compose.yaml
-
docker-compose up
(Note configuredJUPYTER_PASSWORD
) - Select a means of running MATLAB e.g. Jupyter Notebook, GUI, or Terminal (see bottom)
- Add
tests
directory to path e.g. in MATLAB,addpath('tests')
- Run desired tests. Some examples are as follows:
Use Case | MATLAB Code |
---|---|
Run all tests | run(Main) |
Run one class of tests | run(TestTls) |
Run one specific test | runtests('TestTls/TestTls_testInsecureConn') |
Run tests based on test name |
import matlab.unittest.TestSuite; import matlab.unittest.selectors.HasName; import matlab.unittest.constraints.ContainsSubstring; suite = TestSuite.fromClass(?Main, ... HasName(ContainsSubstring('Conn'))); run(suite)
|
Launch Jupyter Notebook
- Navigate to
localhost:8888
- Input Jupyter password
- Launch a notebook i.e.
New > MATLAB
Launch MATLAB GUI (supports remote interactive debugger)
- Shell into
datajoint-matlab_app_1
i.e.docker exec -it datajoint-matlab_app_1 bash
- Launch Matlab by running command
matlab
Launch MATLAB Terminal
- Shell into
datajoint-matlab_app_1
i.e.docker exec -it datajoint-matlab_app_1 bash
- Launch Matlab with no GUI by running command
matlab -nodisplay
引用格式
DataJoint Bot (2024). DataJoint (https://github.com/datajoint/datajoint-matlab/releases/tag/v3.5.1), GitHub. 检索来源 .
Yatsenko, Dimitri, et al. DataJoint: Managing Big Scientific Data Using MATLAB or Python. Cold Spring Harbor Laboratory, Nov. 2015, doi:10.1101/031658.
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无法下载基于 GitHub 默认分支的版本
版本 | 已发布 | 发行说明 | |
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3.5.1.0 | See release notes for this release on GitHub: https://github.com/datajoint/datajoint-matlab/releases/tag/v3.5.1 |
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3.5.0 | See release notes for this release on GitHub: https://github.com/datajoint/datajoint-matlab/releases/tag/v3.5.0 |
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3.4.3 | See release notes for this release on GitHub: https://github.com/datajoint/datajoint-matlab/releases/tag/v3.4.3 |
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3.4.2 | See release notes for this release on GitHub: https://github.com/datajoint/datajoint-matlab/releases/tag/v3.4.2 |
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3.4.1 | See release notes for this release on GitHub: https://github.com/datajoint/datajoint-matlab/releases/tag/v3.4.1 |
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3.4.0 | See release notes for this release on GitHub: https://github.com/datajoint/datajoint-matlab/releases/tag/v3.4.0 |
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3.3.2 | See release notes for this release on GitHub: https://github.com/datajoint/datajoint-matlab/releases/tag/v3.3.2 |
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3.3.1.0 | See release notes for this release on GitHub: https://github.com/datajoint/datajoint-matlab/releases/tag/v3.3.1 |
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3.2.3 | Updated support for additional database connection configurations. |
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3.2.2 | Bugfix in renamed foreign key |
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3.2.1 | Minor bugfixes. |
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3.2.0 | Bug fixes for MATLAB version earlier than R2016b. |
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3.1.0.0 | Improve installation procedure. |
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2.9.0.0 | See release notes for this release on GitHub: https://github.com/datajoint/datajoint-matlab/releases/tag/v2.9.0 |
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2.8.0.0 | See release notes for this release on GitHub: https://github.com/datajoint/datajoint-matlab/releases/tag/v2.8.0 |
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2.7.6.0 | See release notes for this release on GitHub: https://github.com/datajoint/datajoint-matlab/releases/tag/v2.7.6 |
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2.7.2.0 | See release notes for this release on GitHub: https://github.com/datajoint/datajoint-matlab/releases/tag/v2.7.2 |
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2.6.10.0 | See release notes for this release on GitHub: https://github.com/datajoint/datajoint-matlab/releases/tag/v2.6.10 |