The favorite ELN for experimental scientists

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

Pasta-dishes are a mixture pasta and sauce, the latter adds flavors and richness to the otherwise boring pasta. This ELN combines raw-data with rich metadata to allow advanced data science. In the database, one can fully adapt and improvise the metadata definitions to generate something novel. PASTA-ELN uses a local-first approach: store all data and metadata locally (always accessible to user) and synchronize with a server upon user request.

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.

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Release history Release notifications | RSS feed

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

This version

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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