The favorite ELN for experimental scientists

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Project description

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PASTA electronic lab notebook (ELN) | The favorite ELN for experimental scientists

PASTA-ELN (adaPtive mAterials Science meTadatA - Electronic Lab Notebook) provides a streamlined and efficient solution for experimental scientists to manage and organize raw data alongside associated metadata. By leveraging extractors that automate the processing of raw measurement files, PASTA-ELN facilitates the seamless integration of thumbnails, data, and metadata into a centralized database. These extractors can be customized and shared by users, empowering researchers to tailor their workflows to their specific needs.

Location of information

More information, incl. detailed installation instructions, for users can be found on the Github-pages.

While people that are interested into the development are guided to github.

Short installation instructions

pip install pasta-eln

To start PASTA-ELN, use:

pastaELN

which will automatically open the graphical user interface (GUI) to finish the setup.

More detail are found at the install-page.

Project details

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Avatar for SteffenBrinckmann from gravatar.com SteffenBrinckmann

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This version

3.2.3

3.2.3b2 pre-release

3.2.3b1 pre-release

3.2.2

3.2.2b2 pre-release

3.2.2b1 pre-release

3.2.1

3.2.1b2 pre-release

3.2.1b1 pre-release

3.2.0

3.2.0b7 pre-release

3.2.0b6 pre-release

3.2.0b5 pre-release

3.2.0b4 pre-release

3.2.0b3 pre-release

3.2.0b2 pre-release

3.2.0b1 pre-release

3.1.11

3.1.10

3.1.10b2 pre-release

3.1.10b1 pre-release

3.1.9

3.1.8

3.1.7

3.1.6

3.1.5

3.1.4

3.1.3

3.1.2

3.1.1

3.0.17

3.0.16

3.0.15

3.0.14

3.0.13

3.0.12

3.0.11

3.0.10

3.0.9

3.0.8

3.0.7

3.0.5

3.0.4

3.0.3b2 pre-release

3.0.3b1 pre-release

3.0.2

3.0.0b7 pre-release

3.0.0b6 pre-release

3.0.0b5 pre-release

3.0.0b4 pre-release

3.0.0b3 pre-release

3.0.0b2 pre-release

3.0.0b1 pre-release

2.6.0

2.6.0b3 pre-release

2.6.0b2 pre-release

2.6.0b1 pre-release

2.5.3

2.5.3b1 pre-release

2.5.2

2.5.2b2 pre-release

2.5.2b1 pre-release

2.5.1

2.5.1b1 pre-release

2.5.0

2.5.0b8 pre-release

2.5.0b7 pre-release

2.5.0b6 pre-release

2.5.0b5 pre-release

2.5.0b4 pre-release

2.5.0b3 pre-release

2.4.28

2.4.27

2.4.26

2.4.25

2.4.24

2.4.23

2.4.20

2.4.19

2.4.18

2.4.17

2.4.16

2.4.14

2.4.13

2.4.12

2.4.11

2.4.10

2.4.9

2.4.8

2.4.7

2.4.6

2.4.5

2.4.4

2.4.3

2.4.2

2.4.1

2.4.0

2.3.36

2.3.34

2.3.33

2.3.32

2.3.31

2.3.30

2.3.29

2.3.28

2.3.27

2.3.26

2.3.25

2.3.24

2.3.23

2.3.22

2.3.21

2.3.19

2.3.18

2.3.17

2.3.16

2.3.15

2.3.14

2.3.13

2.3.12

2.3.11

2.3.10

2.3.9

2.3.8

2.3.7

2.3.6

2.3.5

2.3.4

2.3.3

2.3.2

2.3.1

2.3.0

2.2.22

2.2.21

2.2.20

2.2.19

2.2.18

2.2.17

2.2.16

2.2.15

2.2.14

2.2.13

2.2.12

2.2.11

2.2.10

2.2.9

2.2.8

2.2.7

2.2.6

2.2.5

2.2.4

2.2.3

2.2.2

2.2.1

2.2.0

2.1.12

2.1.11

2.1.10

2.1.9

2.1.8

2.1.7

2.1.6

2.1.5

2.1.4

2.1.3

2.1.2

2.1.1

2.1.0

2.0.29

2.0.28

2.0.27

2.0.26

2.0.25

2.0.24

2.0.23

2.0.22

2.0.21

2.0.20

2.0.19

2.0.18

2.0.17

2.0.16

2.0.15

2.0.14

2.0.13

2.0.12

2.0.11

2.0.10

2.0.2

2.0.1

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Publisher: pypi.yml on PASTA-ELN/pasta-eln

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SHA256 840df7167abdf35bede33bfa2ee7b04eac09a3839634949cc44581ae233152f1
MD5 b5b9dc71d89af306ac5969a2c635f12b
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