Pre-release

This release is a pre-release and may not be stable for production use.

AutoRA Core

autora-core is the core python module for autora (Automated Research Assistant), an open-source framework for automating multiple stages of the empirical research process, including model discovery, experimental design, data collection, and documentation for open science.

The primary purpose of this module is to provide utilities for:

  • describing experiments,
  • running experimentalist pipelines,
  • running cyclical experiments (currently in the autora-workflow subpackage)

See the tutorials and user guide at autora to get started.

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (5.0.3)

Owner

PyPI data
Data sourced directly from PyPI's database.

2 maintainers

PyPI data
Data sourced directly from PyPI's database.
Avatar for musslick from gravatar.com musslick Avatar for younesStrittmatter from gravatar.com younesStrittmatter

Credits

Author: Sebastian Musslick

License

MIT License Copyright (c) 2023 Autonomous Empirical Research Initiative Permission is hereby grant...

Requires

Python <4, >=3.8

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

autora-core-4.1.0b1.tar.gz (51.2 kB view details)

Uploaded Source

Built Distribution

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

autora_core-4.1.0b1-py3-none-any.whl (29.9 kB view details)

Uploaded Python 3

File details

Details for the file autora-core-4.1.0b1.tar.gz.

File metadata

  • Download URL: autora-core-4.1.0b1.tar.gz
  • Upload date:
  • Size: 51.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for autora-core-4.1.0b1.tar.gz
Algorithm Hash digest
SHA256 0d0f3f6dbd28d8bf7e3300a1a2c7e99474ecb6798b2ba517161ffd174a62402c
MD5 5048b7148a6ce2472afd0c0b22a1908d
BLAKE2b-256 a7fda243a233b95010870849983a8012cf7476b7390bc7958854fd361ec08118

See more details on using hashes here.

File details

Details for the file autora_core-4.1.0b1-py3-none-any.whl.

File metadata

  • Download URL: autora_core-4.1.0b1-py3-none-any.whl
  • Upload date:
  • Size: 29.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for autora_core-4.1.0b1-py3-none-any.whl
Algorithm Hash digest
SHA256 9854220d59806dc6313ae9e12eba1ceab13c48a9bdee4a4495071999246decc1
MD5 3505f566026a8acb6db7332bbc6fd7ea
BLAKE2b-256 5e9e1f1931da9c251f47e0a84487f173df71cfbb19eb42efbf4bf5e914c2f9a2

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 Sentry Error logging StatusPage Status page