Skip to main content

LiveNodes: node based live streaming sensor/data and visualization suite.

Project description

Format and Test Publish

LiveNodes IO Python

The LiveNodes IO Python package provides nodes for data input and output using raw Python lists/NumPy arrays directly, as well as for generating data from NumPy functions. As such, these nodes are most useful for testing other nodes or extracting results from LiveNodes graphs for further external processing.

Nodes in this package

Node Purpose
In_function Inputs data generated from a NumPy function into the LiveNodes graph.
In_python Inputs any python data into the LiveNodes graph.
Out_python Saves all input data into an externally accessible list.

About LiveNodes

LiveNodes are small units of computation for digital signal processing in python. They are connected multiple synced channels to create complex graphs for real-time applications. Each node may provide a GUI or Graph for live interaction and visualization.

Any contribution is welcome! These projects take more time, than I can muster, so feel free to create issues for everything that you think might work better and feel free to create a MR for them as well!

Have fun and good coding!

Yale

Installation

pip install ln_io_python

Docs

You can find the docs here.

Restrictions

None, just pure python and numpy.

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

ln_io_python-1.0.0.tar.gz (49.7 kB view details)

Uploaded Source

Built Distribution

LN_IO_Python-1.0.0-py3-none-any.whl (30.7 kB view details)

Uploaded Python 3

File details

Details for the file ln_io_python-1.0.0.tar.gz.

File metadata

  • Download URL: ln_io_python-1.0.0.tar.gz
  • Upload date:
  • Size: 49.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for ln_io_python-1.0.0.tar.gz
Algorithm Hash digest
SHA256 b7dcedc98e5c7a095cf43c63c3e5513467dd6b18ca2bce81232064c65435fa2b
MD5 9d9bd9a591c408d3818a4841b2be6114
BLAKE2b-256 337437f90df4f19db6808c7e22704ec6628e29083c7c68b7be29a772f4a4bd12

See more details on using hashes here.

File details

Details for the file LN_IO_Python-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: LN_IO_Python-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 30.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for LN_IO_Python-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 eae4d46ab9c334a77e17bf9caf4aa0bb879c49b4ca48f06dbe5f399a712d8042
MD5 090c75252a1aaf6d89bb6b6f32bbf4d7
BLAKE2b-256 61c4b1a9fe6b482994f2ce0d322b15233a78c29e4e2c7ae0a572caa609a87e1d

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