Skip to main content

Package to manage data in experimental neuroscience labs

Project description

labdata

Tools to copy data and manage data analysis in an experimental neuroscience lab.

This is built after labdata-tools and integrates with S3 and a database through datajoint.

Concepts

Experiments often involve many computers in the lab and data has to be copied to a server(and sometimes backed up). In this process files can be corrupted, data loss and so on, specially if manually copying files. Further, in some cases, tasks have to be performed on the files (those might involve compressing, formatting, etc).

What labdata does to copy files: 1. After data are acquired, labdata performs a md5 checksum of the file to be copied and copies the file to a server. 2. After the copy, the checksum and datapath are placed on the Upload database table. 3. The computer/server that manages the copy to the permanent storage server will read the database table. The server will perform a checksum on the file to ensure the copy from the acquisition computer was ok. 4. If needed it will compress data or do whatever is specified in the preference file rules (see upload_rules) 5. Data will be put in S3 and added to the Files

Instalation

Clone the repository to a folder in your computer and do:

pip install . or pip install -e . to if you want that the source code follows git.

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

labdata-0.0.8.tar.gz (107.8 kB view details)

Uploaded Source

Built Distribution

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

labdata-0.0.8-py3-none-any.whl (121.9 kB view details)

Uploaded Python 3

File details

Details for the file labdata-0.0.8.tar.gz.

File metadata

  • Download URL: labdata-0.0.8.tar.gz
  • Upload date:
  • Size: 107.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.6

File hashes

Hashes for labdata-0.0.8.tar.gz
Algorithm Hash digest
SHA256 7c0bbc4bf0e65e0d139300a06cff5ae6bf81578455e76698cc1a17b542babee4
MD5 c0b5020d30d2306b3ec7e426fa632237
BLAKE2b-256 470a1b5c5e36a1f12c334aa71bab42d171d332ff39830800d2756033beacdb41

See more details on using hashes here.

File details

Details for the file labdata-0.0.8-py3-none-any.whl.

File metadata

  • Download URL: labdata-0.0.8-py3-none-any.whl
  • Upload date:
  • Size: 121.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.6

File hashes

Hashes for labdata-0.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 8ce7043ce7ef8c4f64db4515a27366ccd1ec6d5e1d4036ed5d2e59c55c3ba1e7
MD5 3879c8c5ba7185dbfac156777ca3a89c
BLAKE2b-256 1a1672b6377bb681519c0e6b5e065d5955741d53e909bdbec2e9d6b6410f7baa

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