Mecoda-Orange
Orange Data Mining Widgets to analyse data from science citizen observatories. See documentation.
MECODA (ModulE for Citizen Observatory Data Analysis) is a repository to facilitate analyzing and viewing all sorts of citizen science data. It allows users to make their own exploratory visual data analysis without the help of specialized analysts. It also enables observers to create their own reproducible visual dataflows and share and reuse them.
MECODA is part of Cos4Cloud, a European Horizon 2020 project to boost citizen science technologies.
Features
- Minka: collect observations from Minka API, using mecoda-minka library.
- OdourCollect: collect observations from OdourCollect API, using pyodcollect library.
- canAIRio: composed for two widgets, one for CanAIRio Fixed Stations data and other for CanAIRio Mobile Stations data.
- Ictio: process observations from ictio.org zip file, using IctioPy library.
- Natusfera: collect observations from Natusfera API, using mecoda-nat library.
- Smart Citizen: collect observations from the SmartCitizen API, using two widgets, one for collecting information about the kits in the smartcitizen platform and another one for the actual timeseries data. For making use of the timeseries data, it is necessary to add the orange
timeseriesadd-on.
1 maintainer
Metadata
1 maintainer
Release files for mecoda-orange 2.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Mecoda_Orange-2.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / Mecoda_Orange-2.1.0-py3-none-any.whl
| Download URL | Mecoda_Orange-2.1.0-py3-none-any.whl |
|---|---|
| Size | 2.5 MB |
| Tags | Python 3 |
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