Skip to main content

Manage large and heterogeneous data spaces on the file system.

Project description

signac - simple data management

Affiliated with NumFOCUS PyPI conda-forge GitHub Actions RTD License PyPI-downloads Slack Twitter GitHub Stars

The signac framework helps users manage and scale file-based workflows, facilitating data reuse, sharing, and reproducibility.

It provides a simple and robust data model to create a well-defined indexable storage layout for data and metadata. This makes it easier to operate on large data spaces, streamlines post-processing and analysis and makes data collectively accessible.

Resources

Installation

The recommended installation method for signac is through conda or pip. The software is tested for Python 3.8+ and is built for all major platforms.

To install signac via the conda-forge channel, execute:

conda install -c conda-forge signac

To install signac via pip, execute:

pip install signac

Detailed information about alternative installation methods can be found in the documentation.

Quickstart

The framework facilitates a project-based workflow. Set up a new project:

$ mkdir my_project
$ cd my_project
$ signac init

and access the project handle:

>>> project = signac.get_project()

Testing

You can test this package by executing:

$ python -m pytest tests/

Acknowledgment

When using signac as part of your work towards a publication, we would really appreciate that you acknowledge signac appropriately. We have prepared examples on how to do that here. Thank you very much!

The signac framework is a NumFOCUS Affiliated Project.

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

signac-2.2.0.tar.gz (159.4 kB view details)

Uploaded Source

Built Distribution

signac-2.2.0-py3-none-any.whl (129.3 kB view details)

Uploaded Python 3

File details

Details for the file signac-2.2.0.tar.gz.

File metadata

  • Download URL: signac-2.2.0.tar.gz
  • Upload date:
  • Size: 159.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for signac-2.2.0.tar.gz
Algorithm Hash digest
SHA256 145dcf98e125db16a71a3dc1ced81c96094cbc347c690d77da9ce73a13319010
MD5 48ec993d90be53fdcd2e296120779059
BLAKE2b-256 5a562acc85fc06e51988940bcdfd7ccba97cea43cadd68f6adbd401493b85320

See more details on using hashes here.

File details

Details for the file signac-2.2.0-py3-none-any.whl.

File metadata

  • Download URL: signac-2.2.0-py3-none-any.whl
  • Upload date:
  • Size: 129.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for signac-2.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a1681a6da40d7eb898612da0492ef2dead3a66adaae8f9ddae9a96020184369e
MD5 b4dce35c8fb7f80513c4262503a91be0
BLAKE2b-256 50f9539dd020a2199cd067b7ad0c500531004fd54a7fdfe72519fdcdda91b45e

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