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Scientific tool for fitting correlation curves on a logarithmic plot.

Project Description

PyCorrFit can be used for fitting any data on a semi-log plot. The program focusses on Fluorescence Correlation Spectroscopy (FCS) and comes with a couple of features that are crucial for FCS data analysis:

  • Averaging of curves
  • Background correction
  • Batch processing
  • Overlay tool to identify outliers
  • Fast simulation of model parameter behavior
  • Session management
  • User-defined model functions
  • High quality plot export using LaTeX (bitmap or vector graphics)

For a full list of features and supported file formats visit http://pycorrfit.craban.de. There are also precompiled binaries for various systems.

This package provides the Python module pycorrfit and its graphical user interface. The graphical user interface is written with wxPython. A HowTo for the installation of the latest version of PyCorrFit using pip can be found there:

https://github.com/paulmueller/PyCorrFit/wiki/Installation_pip

Further reading: - Latest downloads: https://github.com/paulmueller/PyCorrFit/releases - Documentation: https://github.com/paulmueller/PyCorrFit/raw/master/PyCorrFit_doc.pdf - Write model functions: https://github.com/paulmueller/PyCorrFit/wiki/Writing-model-functions - Need help? https://github.com/paulmueller/PyCorrFit/wiki/Creating-a-new-issue

Release history Release notifications

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1.0.1

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1.0.0

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0.9.9

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0.9.8

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0.9.7

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0.9.6

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0.9.5

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0.9.4

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0.9.3

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0.9.2

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0.9.1

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0.9.0

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0.8.9

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0.8.8

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0.8.7

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0.8.6

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0.8.5

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0.8.4

This version
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0.8.3

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0.8.2

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0.8.1

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Filename, size & hash SHA256 hash help File type Python version Upload date
pycorrfit-0.8.3.tar.gz (1.0 MB) Copy SHA256 hash SHA256 Source None Apr 14, 2014

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