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.

Project details

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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

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3.1.1

3.0.17

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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

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2.6.0

2.6.0b3 pre-release

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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

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2.2.22

2.2.21

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2.2.18

2.2.17

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2.2.15

2.2.14

2.2.13

2.2.12

2.2.11

2.2.10

2.2.9

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2.2.7

This version

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

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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

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2.0.25

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2.0.23

2.0.22

2.0.21

2.0.20

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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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