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DiadFit is a python tool for fitting Raman data, particularly focused around applications to melt and fluid inclusions.

For more information and worked examples, please see https://diadfit.readthedocs.io/

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.1.2)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for PennyWieser from gravatar.com PennyWieser

Credits

Author: Penny Wieser

Requires

Python >=3.9

Classifiers

Report project as malware

Metadata

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.1.2)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for PennyWieser from gravatar.com PennyWieser

Credits

Author: Penny Wieser

Requires

Python >=3.9

Classifiers

Report project as malware

Release files for diadfit 1.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for diadfit 1.1.1
File Size Uploaded
diadfit-1.1.1.tar.gz 1.5 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for diadfit 1.1.1
File Interpreter ABI Platform
diadfit-1.1.1-py3-none-any.whl 1.6 MB Python 3 none any Details

Total release size: 3.0 MB

Release files / diadfit-1.1.1.tar.gz

Download URL diadfit-1.1.1.tar.gz
Size 1.5 MB
Tags Source
SHA-256 checksum
How to use checksums 		37fcc19793b385568ba204b195633c7961ea29a7888f8f6e3b13e9731659995e
BLAKE2b-256 checksum
How to use checksums 		f866105cff59c3a8ddd335541335a77cc4a1861f400fee7ab9c5409ab0afeb66
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Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/7.0.0 CPython/3.13.14

Release files / diadfit-1.1.1-py3-none-any.whl

Download URL diadfit-1.1.1-py3-none-any.whl
Size 1.6 MB
Tags Python 3
SHA-256 checksum
How to use checksums 		7c15680cc58722ab217461b723fde7038f03a28bddfe8da92dc2f7b6bfb54c26
BLAKE2b-256 checksum
How to use checksums 		a4b876489121d3f050149750182c3d0d6e853c2e54c597eb2dd5d5f2deb75f79
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing? 		No
Uploaded via twine/7.0.0 CPython/3.13.14

Release history Release notifications | RSS feed

1.1.2

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This release

1.1.1 This release

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