Mecoda-Orange
Orange Data Mining Widgets to analyse data from science citizen observatories. See documentation.
MECODA (ModulE for Citizen Observatory Data Analysis) is an online tools repository to facilitate the analysis and viewing of all sorts of citizen science data.
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 PyOdourCollect 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 1.8.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| Mecoda Orange-1.8.0.tar.gz | 55.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Mecoda_Orange-1.8.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 2.4 MB
Release files / Mecoda Orange-1.8.0.tar.gz
| Download URL | Mecoda Orange-1.8.0.tar.gz |
|---|---|
| Size | 55.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
2d91e705e924eff7fa000f0f24fa7c3200147c6755728e2ebead9b645b9b7a8d
|
|
BLAKE2b-256 checksum How to use checksums |
e2ccf9afc8a8495bb7741889ab77d57fc272072e45806560ad992e384d373944
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/18.0.1 rfc3986/1.5.0 colorama/0.4.3 CPython/3.8.10
|
Release files / Mecoda_Orange-1.8.0-py3-none-any.whl
| Download URL | Mecoda_Orange-1.8.0-py3-none-any.whl |
|---|---|
| Size | 2.3 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2071cba4fec55122e42aa55d006557f13634cbd18a3a9807a8371705a5d39820
|
|
BLAKE2b-256 checksum How to use checksums |
ab992f1a279f3051785ae56386f7fdc60f98c8f7f3c1f28d9c68c2fd1871e518
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/18.0.1 rfc3986/1.5.0 colorama/0.4.3 CPython/3.8.10
|
