- recipe tttrlib
A file format agnostic library for time-resolved imaging and spectroscopic data.
- Homepage:
- Documentation:
- License:
BSD / BSD-3-Clause
- Recipe:
tttrlib is a simple, fast, libray to read, write and process time-resolved imaging and spectroscopic data. For speed, it is written in C++ and wrapped for Python via SWIG.
- package tttrlib¶
- versions:
0.25.1-0,0.25.0-0- depends _openmp_mutex:
>=4.5- depends boost-cpp:
- depends click:
- depends click-didyoumean:
- depends hdf5:
>=1.14.3,<1.14.4.0a0- depends libgcc:
>=12- depends libgomp:
- depends libstdcxx:
>=12- depends matplotlib-base:
- depends numpy:
>=1.22.4,<2.0a0- depends python:
>=3.10,<3.11.0a0- depends python_abi:
3.10.* *_cp310- depends scikit-image:
- depends tqdm:
- requirements:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install tttrlib and update with:: mamba update tttrlib
To create a new environment, run:
mamba create --name myenvname tttrlib
with
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/tttrlib:<tag> (see `tttrlib/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/tttrlib/README.html)
