Package Recipe 'tttrlib'

recipe tttrlib

A file format agnostic library for time-resolved imaging and spectroscopic data.

Homepage:: https://github.com/fluorescence-tools/tttrlib
Documentation:: https://tttrlib.readthedocs.io
License:: BSD / BSD-3-Clause
Recipe:: /tttrlib/meta.yaml

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:

0.26.2-0, 0.25.1-1, 0.25.1-0, 0.25.0-0

Depends:

on _openmp_mutex >=4.5
on boost-cpp
on click
on click-didyoumean
on hdf5 >=1.14.3,<1.14.4.0a0
on libgcc >=14
on libgomp
on libstdcxx >=14
on matplotlib-base
on numpy >=1.21,<3
on python >=3.10,<3.11.0a0
on python_abi 3.10.* *_cp310
on scikit-image
on tqdm

Additional platforms:

linux-aarch64, osx-arm64

Installation¶

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi¶

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install tttrlib

to add into an existing workspace instead, run:

pixi add tttrlib

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda¶

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install tttrlib

Alternatively, to install into a new environment, run:

conda create -n envname tttrlib

with envname being the name of the desired environment.

Container¶

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

docker pull quay.io/biocontainers/tttrlib:<tag>

(see tttrlib/tags for valid values for <tag>).

Integrated deployment¶

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

Download stats¶

Link to this page¶

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/tttrlib/README.html)