Skip to main content

Package that integrates AiiDAlab with Electronic Laboratory Notebooks.

Project description

AiiDAlab-ELN

Continuous Integration

Integrate AiiDAlab with Electronic Laboratory Notebooks (ELN). This repository implements a general API for interfacing AiiDAlab with some ELN and a concrete implementation for the integration with the cheminfo ELN.

AiiDAlab-Cheminfo ELN implementation

As a first prototype we implemented an integration with the open-source cheminfo ELN. The ELN and integration can be tested via the public deployment of the ELN. Documentation on how to use the frontend can be found here.

Acknowledgements

This work is supported by the MARVEL National Centre for Competency in Research funded by the Swiss National Science Foundation, as well as by the MaX European Centre of Excellence funded by the Horizon 2020 EINFRA-5 program, Grant No. 676598 and an European Research Council (ERC) Advanced Grant (Grant Agreement No. 666983, MaGic).

MARVEL MaX

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

aiidalab_eln-0.1.0a1.tar.gz (5.5 kB view details)

Uploaded Source

Built Distribution

aiidalab_eln-0.1.0a1-py3-none-any.whl (6.9 kB view details)

Uploaded Python 3

File details

Details for the file aiidalab_eln-0.1.0a1.tar.gz.

File metadata

  • Download URL: aiidalab_eln-0.1.0a1.tar.gz
  • Upload date:
  • Size: 5.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.6

File hashes

Hashes for aiidalab_eln-0.1.0a1.tar.gz
Algorithm Hash digest
SHA256 1d53b7f141d2d1f03eaf7239e6fff7ae2aad63a17f3480070d301f409b9ced3a
MD5 0700fadd84295ed12b22beaf21ffbe3f
BLAKE2b-256 d67f048373a0b2bda8fc54f6a96416fa56ce7226ac834e3fd55bbb693bb1ff0b

See more details on using hashes here.

File details

Details for the file aiidalab_eln-0.1.0a1-py3-none-any.whl.

File metadata

  • Download URL: aiidalab_eln-0.1.0a1-py3-none-any.whl
  • Upload date:
  • Size: 6.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.6

File hashes

Hashes for aiidalab_eln-0.1.0a1-py3-none-any.whl
Algorithm Hash digest
SHA256 885bb26bb1797fbcdc82c7407fbc9fc074ffad1e713fcf97bfc4a4d41204c75a
MD5 91f1158533c8fef5cb1393d6e051c384
BLAKE2b-256 70c1dbe18daf2e15d44f81598a49ca109c04ddaa2f8a0de11a9af9a8487757f1

See more details on using hashes here.

Supported by

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