Skip to main content

Mapping and X-Ray Fluorescence Analysis

Project description

Stand-alone application and Python tools for interactive and/or batch processing analysis of X-Ray Fluorescence Spectra. Graphical user interface (GUI) and batch processing capabilities provided

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

pymca5-5.9.5.tar.gz (16.0 MB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pymca5-5.9.5-cp314-cp314-win_amd64.whl (9.5 MB view details)

Uploaded CPython 3.14Windows x86-64

pymca5-5.9.5-cp313-cp313-win_amd64.whl (9.5 MB view details)

Uploaded CPython 3.13Windows x86-64

pymca5-5.9.5-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (11.7 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

pymca5-5.9.5-cp313-cp313-macosx_10_13_universal2.whl (10.1 MB view details)

Uploaded CPython 3.13macOS 10.13+ universal2 (ARM64, x86-64)

pymca5-5.9.5-cp312-cp312-win_amd64.whl (9.5 MB view details)

Uploaded CPython 3.12Windows x86-64

pymca5-5.9.5-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (11.7 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

pymca5-5.9.5-cp312-cp312-macosx_10_13_universal2.whl (10.1 MB view details)

Uploaded CPython 3.12macOS 10.13+ universal2 (ARM64, x86-64)

pymca5-5.9.5-cp311-cp311-win_amd64.whl (9.5 MB view details)

Uploaded CPython 3.11Windows x86-64

pymca5-5.9.5-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (11.7 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

pymca5-5.9.5-cp311-cp311-macosx_10_13_universal2.whl (10.0 MB view details)

Uploaded CPython 3.11macOS 10.13+ universal2 (ARM64, x86-64)

pymca5-5.9.5-cp310-cp310-win_amd64.whl (9.5 MB view details)

Uploaded CPython 3.10Windows x86-64

pymca5-5.9.5-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (11.6 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

pymca5-5.9.5-cp310-cp310-macosx_10_13_universal2.whl (10.1 MB view details)

Uploaded CPython 3.10macOS 10.13+ universal2 (ARM64, x86-64)

pymca5-5.9.5-cp39-cp39-win_amd64.whl (9.5 MB view details)

Uploaded CPython 3.9Windows x86-64

pymca5-5.9.5-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (11.6 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

pymca5-5.9.5-cp39-cp39-macosx_10_13_universal2.whl (10.1 MB view details)

Uploaded CPython 3.9macOS 10.13+ universal2 (ARM64, x86-64)

File details

Details for the file pymca5-5.9.5.tar.gz.

File metadata

  • Download URL: pymca5-5.9.5.tar.gz
  • Upload date:
  • Size: 16.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.11

File hashes

Hashes for pymca5-5.9.5.tar.gz
Algorithm Hash digest
SHA256 eff5f3ffe013a931f6ee0aac924279daf0923420603febd5549bc9d383e4748b
MD5 b3e2ea4aaa1676da64e88a94f9b0519a
BLAKE2b-256 7d3537aee617084adcc40c45872b3eabeed22a8f5b8f98fd07c258750e501170

See more details on using hashes here.

File details

Details for the file pymca5-5.9.5-cp314-cp314-win_amd64.whl.

File metadata

  • Download URL: pymca5-5.9.5-cp314-cp314-win_amd64.whl
  • Upload date:
  • Size: 9.5 MB
  • Tags: CPython 3.14, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for pymca5-5.9.5-cp314-cp314-win_amd64.whl
Algorithm Hash digest
SHA256 91f65211db430fc956bf874c45c143edd94a92757f5b7d642224f3f7958e36ab
MD5 ed780d37fe88223652bb9daa34f23797
BLAKE2b-256 a77b79260d9f92b615e4660ec56e6c8753f0d8398bdb57f2173b607cbfba5c91

See more details on using hashes here.

File details

Details for the file pymca5-5.9.5-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: pymca5-5.9.5-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 9.5 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.11

File hashes

Hashes for pymca5-5.9.5-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 e92b3acdf9d895e466333ab5e1f7ecb7543c8512e85d44427ab59a141b07d46c
MD5 3aeca94aa2ac1122fb6b04ec65f5412a
BLAKE2b-256 7112162a51369f4a797e0739cddd83686348a1a5b5e0dab9e9224ff099b034e4

See more details on using hashes here.

File details

Details for the file pymca5-5.9.5-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pymca5-5.9.5-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 710a3c09e3eb11d8e6c94272066ca800344da8d08b680144f31b63a345f7c8ae
MD5 0ac311d91159ca2dd5c629756749af4f
BLAKE2b-256 2e86fee09d2efdeceac4ed1bee8c8671a8ad7740445843ec40431ea022d6d0f1

See more details on using hashes here.

File details

Details for the file pymca5-5.9.5-cp313-cp313-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for pymca5-5.9.5-cp313-cp313-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 e76383367977b3d13405ccf7a4d07bce68e6dc2879008ca153e8f6b5bcbadf0c
MD5 b301745a413ea368f6a259a0bfdf22d1
BLAKE2b-256 2faf3918352c276a601b846098a1602a7bd0cdc9a00789e8dcc06616c53dbe97

See more details on using hashes here.

File details

Details for the file pymca5-5.9.5-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: pymca5-5.9.5-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 9.5 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.11

File hashes

Hashes for pymca5-5.9.5-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 7263538d89931cdddc630783517864777e6faaf5a689712f53279b9944826f1f
MD5 71572b0c73051f344447df2ea4b082df
BLAKE2b-256 55866652c4ae080e69c34112aab930bf77472f48049c3a2b1b6bf608d05e65d9

See more details on using hashes here.

File details

Details for the file pymca5-5.9.5-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pymca5-5.9.5-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 77c8aaff7136be4a1145ab5649435e8c32582d570f1e119f975350f3639f21da
MD5 e5d6528f5bacbd06ae90aace06f9cbfe
BLAKE2b-256 ff5d188b628fc3e2f299f3db3a42638fc551cbc500336344e0eb04a54a173ed3

See more details on using hashes here.

File details

Details for the file pymca5-5.9.5-cp312-cp312-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for pymca5-5.9.5-cp312-cp312-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 7fc04791651ae0989751ff3d7953c576499413ef0588fb0995a7e014f51aeddc
MD5 dd38f40afd0e8d0a5d070a8b46d4f682
BLAKE2b-256 9c216896de155e7638bac52683e5a490542a3870ec6cfbb4e2cd2824f645f1f8

See more details on using hashes here.

File details

Details for the file pymca5-5.9.5-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: pymca5-5.9.5-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 9.5 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.11

File hashes

Hashes for pymca5-5.9.5-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 25cb12eb0333c956eb64b85bf2ef690c3dc5fbda892cc2b121afe1c55024ecfa
MD5 28e55f57d944df123be5bbe1c6869456
BLAKE2b-256 e9c790853d30321a6e90d7ed98e5adae6884451af783521e0bd4f0eb716d3e90

See more details on using hashes here.

File details

Details for the file pymca5-5.9.5-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pymca5-5.9.5-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 80864ee2323be1c855df28e4188ac9c0425afb695a95362e9a148cdea9efc22a
MD5 48b3aa57f3428bd4d587755c6dca5acc
BLAKE2b-256 a01bb27b2523786c4bc465bcce108534621516f2753aeaea6d3bbc237cdb0dfc

See more details on using hashes here.

File details

Details for the file pymca5-5.9.5-cp311-cp311-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for pymca5-5.9.5-cp311-cp311-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 56310b489c7795ff319d1d7cfbf07e772ef73ccd42ce8e2792e7ae950a88d1b6
MD5 2a13d6e424fa4b3ceabc3f6233c7c23a
BLAKE2b-256 0f754a65518b04ca88ea881d8af8bf6f76e6abff12a1478fb0fa71e380de7b99

See more details on using hashes here.

File details

Details for the file pymca5-5.9.5-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: pymca5-5.9.5-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 9.5 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.11

File hashes

Hashes for pymca5-5.9.5-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 3ee7cecff84409b9b3c6d549d02a1d57f89b794c88e21d5e934acbad7f118f56
MD5 3b74bbe35341fda5a8d8e5382222ad6d
BLAKE2b-256 120ded6aa8ebdd787347d1a93b1b79adefc622d621f87b08689c288d1edd520c

See more details on using hashes here.

File details

Details for the file pymca5-5.9.5-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pymca5-5.9.5-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 19ddaca3a19727e4ce17c70408ae7ff80d6c9ea18df5a9e72ea039c5a6c47dbf
MD5 df784337f9b28bdefd1d2dfad758c536
BLAKE2b-256 4e858aefe04b8b2df150408a11f287e5ac003215279be184c70d914d36a78ef6

See more details on using hashes here.

File details

Details for the file pymca5-5.9.5-cp310-cp310-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for pymca5-5.9.5-cp310-cp310-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 4788b9746b85170f57e23d8f37ecfd4396dae8bac3988e48fcabb5ccb594df45
MD5 e673d69a3c0b4d2a27ad2f24744665a9
BLAKE2b-256 6b620ecae5bb476af5b8b299b19e138732caa74852fc8450d3e5be6f6c7aad34

See more details on using hashes here.

File details

Details for the file pymca5-5.9.5-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: pymca5-5.9.5-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 9.5 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.11

File hashes

Hashes for pymca5-5.9.5-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 371c8dce112bca0e3052d1db56821225e52b918db931cf834990c47b40d9c1f6
MD5 ee480738563d8c15f9f55a73404d1f2e
BLAKE2b-256 cbb3059a12dafd1146d6da5d01a3c026765f558fdc85117d52414a65edd1b8d7

See more details on using hashes here.

File details

Details for the file pymca5-5.9.5-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for pymca5-5.9.5-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 e6c2b7bfd2256447d8726c2b54624ea9a2a80a4142771d73efad2e9f94315059
MD5 6777d338a294f907bd2ebf168ed9ced9
BLAKE2b-256 8b048bbed67bf11491878d337dfbf3862c9fc07f8caa19baf9b31f69a6f6f897

See more details on using hashes here.

File details

Details for the file pymca5-5.9.5-cp39-cp39-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for pymca5-5.9.5-cp39-cp39-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 0a27f9c2ef581a3488832236201be6959a9062a44afb3ec7e16924a546bfdebd
MD5 bf34649f338278dc5ea97725490338ca
BLAKE2b-256 16ed724a922e7a9ba87d115681a47af25ae1bebf7bfb07601a764fb9b9881814

See more details on using hashes here.

Supported by

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