epidemic-intelligence
epidemic-intelligence is an open-source Python package developed at the Network Science Institute to explore large-scale spatio-temporal simulation data. Simply put, it uses Google's BigQuery to efficiently process and visualize simulations of networks across time, then uses the output to create publication ready visualizations.
This GitHub repository contains the code for the Python package and the documentation, which is contained within a JupyterBook.
Tools
Full documentation, including installation and setup, is available here.
The epidemic-intelligence package can be found on the Python Package Index here.
Instructions for updating both the library and the corresponding documentation can be found in CONTRIBUTING.md.
License
epidemic-intelligence is distributed with the 3-clause BSD license. The full text of this license can be found in license.txt.
Release files for epidemic-intelligence 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| epidemic_intelligence-1.0.1.tar.gz | 253.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| epidemic_intelligence-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 512.9 kB
Release files / epidemic_intelligence-1.0.1.tar.gz
| Download URL | epidemic_intelligence-1.0.1.tar.gz |
|---|---|
| Size | 253.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f6560429c21739ccfd60f9def366925cca3436679ac6ebac8f785bc438db9d02
|
|
BLAKE2b-256 checksum How to use checksums |
90eb1d93bbf2dc49fe260f248aa2ddfcff1b2e23c76ab314a642d8b1118cceb1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.11.9
|
Release files / epidemic_intelligence-1.0.1-py3-none-any.whl
| Download URL | epidemic_intelligence-1.0.1-py3-none-any.whl |
|---|---|
| Size | 259.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3588c075c7a3a795a99a3a2b9f27c51acc32fdeb8699084fdc73d94d5401d981
|
|
BLAKE2b-256 checksum How to use checksums |
fd5ca3aa0460460be6e58b29ec83ea51b6188ac180def9bfe10b723ba335e2e5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.11.9
|