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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/

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  • Released:
Latest release

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:
Latest release

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 1.1.2

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 1.1.2
File Size Uploaded
diadfit-1.1.2.tar.gz 1.5 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for diadfit 1.1.2
File Interpreter ABI Platform
diadfit-1.1.2-py3-none-any.whl 1.6 MB Python 3 none any Details

Total release size: 3.1 MB

Release files / diadfit-1.1.2.tar.gz

Download URL diadfit-1.1.2.tar.gz
Size 1.5 MB
Tags Source
SHA-256 checksum
How to use checksums 		4110469d0083a1f37938480f310ecd85f9187a3cb1e03943aab08a91ffaab846
BLAKE2b-256 checksum
How to use checksums 		66378ec0b8a57f3dff59e6a075c63e12d503a1539c85da01105c57650003aaaf
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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-1.1.2-py3-none-any.whl

Download URL diadfit-1.1.2-py3-none-any.whl
Size 1.6 MB
Tags Python 3
SHA-256 checksum
How to use checksums 		adfaf71287a8f69a590c624909c842ac805f79a6a4020249bda77176c52d5c65
BLAKE2b-256 checksum
How to use checksums 		421b35b7ce0f31f07b4b43e9352f36cb2e3c393a94239218c7dbf069a07b4207
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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

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1.1.2 This release

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