Skip to main content

ChimeraPy: Python Distributed MultiModal Data Framework

Project description

Shows a black logo in light color mode and a white one in dark color mode.

PyPI Coverage Status

ChimeraPy is a distributed computing framework for multimodal data dollection, processing, and feedback. It's a real-time streaming tool that leverages from a distributed cluster to empower AI-driven applications.

  1. Collect your data in real-time from any computer and time aligned it to the rest of your data streams.
  2. Process data as soon as it comes, providing a service to your users.
  3. Archive your outputs and later retrieve them in a single main data archive for later careful post-hoc analysis.
  4. Monitor the executing of your distributed cluster, view live outputs, and verify that you collected clean data.

Installation

You can install the package with the following command.

pip install chimerapy

Additionally, you can install the package through GitHub instead.

git clone https://github.com/oele-isis-vanderbilt/ChimeraPy
cd ChimeraPy
pip install .

Contributing

Contributions are welcomed! Our Developer Documentation should provide more details in how ChimeraPy works and what is in current development.

License

ChimeraPy uses the GNU GENERAL PUBLIC LICENSE, as found in LICENSE file.

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

chimerapy-0.0.4.tar.gz (31.0 kB view details)

Uploaded Source

Built Distribution

chimerapy-0.0.4-py2.py3-none-any.whl (37.6 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file chimerapy-0.0.4.tar.gz.

File metadata

  • Download URL: chimerapy-0.0.4.tar.gz
  • Upload date:
  • Size: 31.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for chimerapy-0.0.4.tar.gz
Algorithm Hash digest
SHA256 4745fff6dc1a04121e1f467272dd726c83a63b694b7bd8278c901887dcf6bf86
MD5 fe58cb586047bbbdefba1a19c1703295
BLAKE2b-256 b66edafb38a4d720974fcf6e844589129d0b47e460964164c0a7e0a8ab7a84e1

See more details on using hashes here.

File details

Details for the file chimerapy-0.0.4-py2.py3-none-any.whl.

File metadata

  • Download URL: chimerapy-0.0.4-py2.py3-none-any.whl
  • Upload date:
  • Size: 37.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.15

File hashes

Hashes for chimerapy-0.0.4-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 bbcf8a05f46386f1be4b3a8ebb9f18f69f046be91acea128b2405bb6adab1d26
MD5 af90169f5bea42840209e77c09d1d282
BLAKE2b-256 93d8e1dbcc3bd5590a7e1882487467c33962e8f2007f46b88dcdf639186a22ed

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