Licorne is available on GNU/Linux.
Factorize scientists' work on algorithms, increase data accessibility and quality, and make it modular and expendable into an unique software platform usable for research analysis or operational data processing
Standardized integration of research scientists' algorithms.
Integration of high-level processing algorithms on LIDAR data from NDACC France research scientist experts' specifications.
Algorithm versionning capabilities to make re-processing viable.
Make your own data processing chain: choose between processing functionnalities, and choose execution order, time sampling and desired output products.
Runs indistinctly in routine data production or in research mode through a low level API.
Licorne's data management model is compatible with the NetCDF data model and is adaptable to a specific data network product template and/or format.
Uses natively CF and ACDD conventions for metadata.
Uncertainty calculation and propagation capabilities are integrated with each
high-level algorithm.
Implementation of a Licorne's standard products catalog.
Use Jenkins and tox for continous integration.
Use Gitlab for version control repository.
Long-term support management strategy.
Python 2.7, 3.5 - compliant with the rules of the art of a Python software.
Based on Numpy and Scipy packages for scientific computing capabilities.
Plots are based on Matplotlib package.
Graphical user interface is developed using web technology.
Learn how to easily use Licorne Framwork, along with tutorials and guides, are available online.
