Skip to main content

TRamWAy

Project description

The TRamWAy library features various tools for the analysis of particle dynamics in Single Molecule Localization Microscopy (SMLM) data. It can resolve the diffusivity, drift, force and potential energy in space and time.

The original documentation is now on readthedocs.

An attempt to rewrite the project documentation is available as a separate project and web resource.

Installation

You will need Python >= 3.6.

From PyPI

pip install tramway

pip install will install some Python dependencies if missing, but you may still need to install the HDF5 reference library.

Several installation targets are available, including full, that install optional dependencies:

pip install tramway[full]

Most of the functionalities and code examples described in the documentation will run without optional dependencies. It is safe to first install TRamWAy with minimal requirements and then pip install the missing dependencies as you hit ImportError while using TRamWAy.

Using Conda

conda install tramway -c conda-forge

Compared with the bare package pip installs (with no installation targets), the conda package specifies some optional dependencies as required, so that the above command installs them. However, many other optional dependencies are omitted.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tramway-0.6.2.tar.gz (460.4 kB view details)

Uploaded Source

Built Distribution

tramway-0.6.2-py3-none-any.whl (593.4 kB view details)

Uploaded Python 3

File details

Details for the file tramway-0.6.2.tar.gz.

File metadata

  • Download URL: tramway-0.6.2.tar.gz
  • Upload date:
  • Size: 460.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.10

File hashes

Hashes for tramway-0.6.2.tar.gz
Algorithm Hash digest
SHA256 4162f6c4a15b1b00da94bed2339b95a93b97dbdb3ac92299a9a9d4dc4f4645c5
MD5 7296c628a95c5c34220cff934e998037
BLAKE2b-256 c0756c045605afed076b0acd4b8077971a5ec7f082bbdfcc7a61beb57c59d249

See more details on using hashes here.

File details

Details for the file tramway-0.6.2-py3-none-any.whl.

File metadata

  • Download URL: tramway-0.6.2-py3-none-any.whl
  • Upload date:
  • Size: 593.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.3 pkginfo/1.7.1 requests/2.22.0 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.8.10

File hashes

Hashes for tramway-0.6.2-py3-none-any.whl
Algorithm Hash digest
SHA256 2835495bfd8a795f2319c1566d7c300bfe3dcb16cb18f7f30efcc3369fc1c233
MD5 52c41b8760d67243aec35d9cc2092c09
BLAKE2b-256 dc32e03a8a84c5173c82f6c0cd21c5c5231747be4ea076a05e02d34e5d1279aa

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page