phasepy

Multiphase multicomponent Equilibria

These details have not been verified by PyPI

Project links

Project description

Phasepy is an open-source scientific python package for fluid phase equilibria computation. This package facilitates the calculation of liquid-vapor equilibrium, liquid-liquid equilibrium and liquid-liquid-vapor equilibrium. Equilibrium calculations can be performed with cubic equations of state with classic or advances mixing rules or with a discontinuous approach using a virial equation of state for the vapor phase and an activity coefficients model for the liquid phase.

Besides computations, with this package is also possible to fit phase equilibria data, functions to fit quadratic mix rule, NRTL, Wilson and Redlich Kister parameters, are included.

Phasepy relies on numpy, scipy and cython extension modules, when necessary.

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

0.0.54

Oct 18, 2024

0.0.53

Apr 19, 2024

0.0.52

Jul 31, 2023

This version

0.0.51

Jul 31, 2022

0.0.50

Aug 2, 2021

0.0.49

Jun 16, 2021

0.0.48

Jan 12, 2021

0.0.47

Jan 11, 2021

0.0.46

Jan 7, 2021

0.0.45

Sep 8, 2020

0.0.44

Aug 24, 2020

0.0.43

Jul 3, 2020

0.0.42

Jun 16, 2020

0.0.41

Jun 1, 2020

0.0.40

May 28, 2020

0.0.35

Mar 23, 2020

0.0.34

Mar 11, 2020

0.0.33

Mar 4, 2020

0.0.32

Jan 29, 2020

0.0.31

Jan 28, 2020

0.0.30

Jan 21, 2020

0.0.29

Jan 15, 2020

0.0.28

Nov 18, 2019

0.0.27

Nov 6, 2019

0.0.25

Aug 29, 2019

0.0.24

Aug 19, 2019

0.0.23

Aug 17, 2019

0.0.22

Aug 17, 2019

0.0.21

Jun 14, 2019

0.0.20

Jun 14, 2019

0.0.19

Jun 14, 2019

0.0.18

Jun 14, 2019

0.0.17

Jun 13, 2019

0.0.16

Jun 13, 2019

0.0.15

Jun 13, 2019

0.0.14

Jun 13, 2019

0.0.13

Jun 13, 2019

0.0.12

Apr 25, 2019

0.0.11

Apr 18, 2019

0.0.10

Apr 18, 2019

0.0.9

Apr 16, 2019

0.0.8

Mar 21, 2019

0.0.7

Mar 21, 2019

0.0.6

Mar 20, 2019

0.0.5

Mar 2, 2019

0.0.4

Mar 1, 2019

0.0.3

Feb 27, 2019

0.0.2

Feb 25, 2019

0.0.1

Feb 19, 2019

Download files

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

Source Distribution

phasepy-0.0.51.tar.gz (222.4 kB view details)

Uploaded Jul 31, 2022 Source

Built Distributions

phasepy-0.0.51-cp39-cp39-win_amd64.whl (492.5 kB view details)

Uploaded Jul 31, 2022 CPython 3.9 Windows x86-64

phasepy-0.0.51-cp38-cp38-win_amd64.whl (542.5 kB view details)

Uploaded Jul 31, 2022 CPython 3.8 Windows x86-64

phasepy-0.0.51-cp37-cp37m-win_amd64.whl (564.0 kB view details)

Uploaded Jul 31, 2022 CPython 3.7m Windows x86-64

phasepy-0.0.51-cp36-cp36m-win_amd64.whl (488.1 kB view details)

Uploaded Jul 31, 2022 CPython 3.6m Windows x86-64

File details

Details for the file phasepy-0.0.51.tar.gz.

File metadata

Download URL: phasepy-0.0.51.tar.gz
Upload date: Jul 31, 2022
Size: 222.4 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.6

File hashes

Hashes for phasepy-0.0.51.tar.gz
Algorithm	Hash digest
SHA256	`802753b6cb9a44dbe3f323df5e18d8ba1dc71a08ca01130c23df1ff7b1e2267e`
MD5	`cb7e4ec41641891c74cfbbb7cd97b6e1`
BLAKE2b-256	`afd7d3cbf34a704dec931ee09d2b7736f639af839774ae49c0024259a8b276fb`

See more details on using hashes here.

File details

Details for the file phasepy-0.0.51-cp39-cp39-win_amd64.whl.

File metadata

Download URL: phasepy-0.0.51-cp39-cp39-win_amd64.whl
Upload date: Jul 31, 2022
Size: 492.5 kB
Tags: CPython 3.9, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.6

File hashes

Hashes for phasepy-0.0.51-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`22ebb40d9c3541b82390f2bfbf80b939a433822a7fbe1fa99825972d2b4ab848`
MD5	`e8ed6b7257fe48b04b752ac5c50aa658`
BLAKE2b-256	`c4183f53a32662c51442b291a1a125097c599f4e95373a2ffa865d1a3e9849e9`

See more details on using hashes here.

File details

Details for the file phasepy-0.0.51-cp38-cp38-win_amd64.whl.

File metadata

Download URL: phasepy-0.0.51-cp38-cp38-win_amd64.whl
Upload date: Jul 31, 2022
Size: 542.5 kB
Tags: CPython 3.8, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.6

File hashes

Hashes for phasepy-0.0.51-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`96ac08d54cbd4b4334abc95105569de980bdba52dabacb0d47c3942419e3266f`
MD5	`ca0a6b7a2b5b91342aefe4fdcd090433`
BLAKE2b-256	`2ca9e7dcea4ebafdb1fa3f946e0e156da182194927581492829a3bccdaeb2880`

See more details on using hashes here.

File details

Details for the file phasepy-0.0.51-cp37-cp37m-win_amd64.whl.

File metadata

Download URL: phasepy-0.0.51-cp37-cp37m-win_amd64.whl
Upload date: Jul 31, 2022
Size: 564.0 kB
Tags: CPython 3.7m, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.6

File hashes

Hashes for phasepy-0.0.51-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`26fdc17a04ec9bd3367a394935968e53f9f9745347410ab8a559c368f1b3a3c0`
MD5	`a392b640d441e4a497daed019450f9c9`
BLAKE2b-256	`807be010afc94b88e9dcf73db087d5077073a45175e58402aa9e2f57cc690754`

See more details on using hashes here.

File details

Details for the file phasepy-0.0.51-cp36-cp36m-win_amd64.whl.

File metadata

Download URL: phasepy-0.0.51-cp36-cp36m-win_amd64.whl
Upload date: Jul 31, 2022
Size: 488.1 kB
Tags: CPython 3.6m, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.0 CPython/3.9.6

File hashes

Hashes for phasepy-0.0.51-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`5734300574a33115f4c0dc272adf58a41b7a90ffe18b7d5fc8845d14f9a2dc7b`
MD5	`7b178e649c9cfa25d772d47c83c96f1c`
BLAKE2b-256	`437875521e0ec259b192942767d661d7f0a79ab57b90b646fbba6464c4eb555c`