Skip to main content

Autonomous Research Assistant (AutoRA) is a framework for automating steps of the empirical research process.

Project description

Automated Research Assistant

PyPI GitHub Workflow Status PyPI - Downloads

AutoRA (Automated Research Assistant) is 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.

Autonomous Empirical Research Paradigm

Getting Started

Check out the tutorials at https://autoresearch.github.io/autora/tutorials.

About

This project is in active development by the Autonomous Empirical Research Group, led by Sebastian Musslick, in collaboration with the Center for Computation and Visualization at Brown University.

The development of this package is supported by Schmidt Science Fellows, in partnership with the Rhodes Trust, as well as the Carney BRAINSTORM program at Brown University.

Read More

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

autora-3.0.0rc2.tar.gz (609.2 kB view details)

Uploaded Source

Built Distribution

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

autora-3.0.0rc2-py3-none-any.whl (3.8 kB view details)

Uploaded Python 3

File details

Details for the file autora-3.0.0rc2.tar.gz.

File metadata

  • Download URL: autora-3.0.0rc2.tar.gz
  • Upload date:
  • Size: 609.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for autora-3.0.0rc2.tar.gz
Algorithm Hash digest
SHA256 09a836a949f4b0943e901c13cad5acbefd32c24a78d663918ea9d47e03d5c235
MD5 c7c796a32f0fa27e06e3bafe21940981
BLAKE2b-256 7a2716a7144c47aa3a2c756ce2d0d94dc9a55167188b8cec47019e89eb1d265d

See more details on using hashes here.

File details

Details for the file autora-3.0.0rc2-py3-none-any.whl.

File metadata

  • Download URL: autora-3.0.0rc2-py3-none-any.whl
  • Upload date:
  • Size: 3.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for autora-3.0.0rc2-py3-none-any.whl
Algorithm Hash digest
SHA256 07053bef8e42be538c3407fa25280ba7595adea3dac7da49767b282e8631010b
MD5 4e6b34a1689e4ddc2bb24fdac956ce12
BLAKE2b-256 9106d0f41d3c3143aac890b63ad0994cba8539673c842f3ab2e0a65ca3da8b9e

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