Metadata-Version: 2.1
Name: scdata
Version: 0.4.9
Summary: Analysis of sensors and time series data
Home-page: https://github.com/fablabbcn/smartcitizen-data
Author: oscgonfer
License: GNU-GPL3.0
Project-URL: Documentation, https://docs.smartcitizen.me/Data%20Analysis/
Project-URL: Source Code, https://github.com/fablabbcn/smartcitizen-data
Keywords: air,sensors,Smart Citizen
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: branca (==0.4.0)
Requires-Dist: Flask (~=1.1.2)
Requires-Dist: folium (==0.12.1)
Requires-Dist: geopy (==1.21.0)
Requires-Dist: Jinja2 (==2.11.2)
Requires-Dist: matplotlib (==3.2.1)
Requires-Dist: numpy (~=1.20.0)
Requires-Dist: pandas (~=1.0.3)
Requires-Dist: pdfrw (==0.4)
Requires-Dist: PDPbox (==0.2.0)
Requires-Dist: plotly (~=4.14.3)
Requires-Dist: PyYAML (==5.3.1)
Requires-Dist: requests (==2.23.0)
Requires-Dist: reportlab (==3.5.*)
Requires-Dist: scipy (~=1.5.0)
Requires-Dist: scikit-learn (~=0.23.1)
Requires-Dist: seaborn (==0.10.1)
Requires-Dist: termcolor (==1.1.0)
Requires-Dist: tqdm (~=4.50.2)
Requires-Dist: tzwhere (==3.0.3)
Requires-Dist: urllib3 (==1.25.9)


        ## scdata - Analysis of sensors and time series data

        `scdata` is a **sensor data analysis framework** built with the purpose of *analysis*,
        *calibration* and *post-processing* of sensor data. It is particularly
        focused on sensors for environmental monitoring such as the low-cost sensors in the
        [Smart Citizen Project](https://www.smartcitizen.me). As such provides
        tools for workflow automation and sensor calibration.

        It aims to unify several sources of data and to provide tools for analysing data by:

        * Interacting with several sensors APIs (getting data and forwarding)
        * Dispersion analysis of sensors data
        * Clean data, export and calculate metrics
        * Model sensor data and calibrate sensors
        * Generate data visualisations
        * Generate beautiful reports

    

