publiccode.yml

# This repository adheres to the publiccode.yml standard by including this 
# metadata file that makes public software easily discoverable.
# More info at https://github.com/italia/publiccode.yml

publiccodeYmlVersion: '0.2'
releaseDate: '2019-05-31'
name: PDND nteract
url: 'https://github.com/teamdigitale/daf-nteract'
isBasedOn: 'https://github.com/nteract/nteract'
softwareVersion: v0.12.3.1
developmentStatus: beta
softwareType: standalone/web
platforms:
  - web
roadmap: 'https://github.com/teamdigitale/daf-nteract/projects/1'
categories:
  - data-analytics
  - data-visualization
  - productivity-suite
dependsOn:
  open:
    - name: nteract
      versionMin: v0.12.3
maintenance:
  type: community
  contacts:
    - name: Alessandro Ercolani
      affiliation: Team per la Trasformazione Digitale
      email: alessandro@teamdigitale.governo.it
legal:
  license: BSD-3-Clause
  mainCopyrightOwner: nteract contributors
  repoOwner: Team per la Trasformazione Digitale
  authorsFile: 'https://github.com/teamdigitale/daf-nteract/blob/daf-develop/AUTHORS'
intendedAudience:
  scope:
    - research
    - science-and-technology
  countries:
    - it
localisation:
  localisationReady: false
  availableLanguages:
    - en
it:
  countryExtensionVersion: '0.2'
  riuso:
    codiceIPA: pcm
description:
  it:
    genericName: Jupyter notebook
    shortDescription: >-
      Data science avanzata grazie a Jupiter notebook interfacciati direttamente
      agli open data italiani: cerca i dati che ti servono, analizza, condividi!
    longDescription: >
      La [Piattaforma Digitale Nazionale dei
      Dati](https://dataportal.daf.teamdigitale.it/) (ex DAF) contiene migliaia
      di dataset rilasciati dalle pubbliche amministrazioni italiane con licenze
      open data. La piattaforma espone delle
      [API](https://docs.italia.it/italia/daf/daf-dataportal-it-docs/it/bozza/dataportal-privato/api.html)
      (Application Programming Interface) con cui è possibile cercare e
      scaricare i dati di interesse direttamente da un software di terze parti.
      Il progetto [PDND-nteract](https://github.com/teamdigitale/daf-nteract)
      integra le API della PDND all'interno della suite di analisi dati
      [Jupyter](https://jupyter.org/) grazie al progetto open source
      [nteract](https://nteract.io/) di cui è un'estensione. L'utente può
      cercare, analizzare, visualizzare ed eventualmente salvare i dati di
      interesse all'interno del proprio notebook (Julia, Python, R), oltre che
      condividerli con la comunità[ direttamente su
      Github](https://github.com/teamdigitale/pdnd-open-notebooks).
    documentation: >-
      https://github.com/teamdigitale/daf-nteract/blob/daf-develop/pdnd-tutorials/pdnd-nteract-tutorial.md
    apiDocumentation: >-
      https://docs.italia.it/italia/daf/daf-dataportal-it-docs/it/bozza/dataportal-privato/api.html
    features:
      - data science
      - data analysis
    screenshots:
      - >-
        pdnd-tutorials/img/login.png
      - >-
        pdnd-tutorials/img/search.png
      - >-
        pdnd-tutorials/img/results.png
    videos:
      - 'https://www.youtube.com/watch?v=nlZnYcz66YE'
  en:
    genericName: Jupyter notebook
    shortDescription: >-
      Advanced data science on Italian open data using Jupyter notebooks: find,
      analyze and share all data you are interested in!
    longDescription: >
      This is a branched (daf-\*) fork of [nteract](https://nteract.io/), a
      [React](https://reactjs.org/) user interface on top of
      [Jupyter](https://jupyter.org/) server. We have developed an integration
      of the API from [PDND - DAF](https://dataportal.daf.teamdigitale.it/)
      (Piattaforma Digitale Nazionale Dati, formerly Data & Analytics Framework)
      for simplyfing the access to Italian public data inside notebook for data
      analysis. We are developing a set of UI components integrated into a set
      of the official API to **read**, **save** and **update **data into PDND.
      User can search for datasets from PDND load into a dataframe and starting
      working on it. The tool is very powerful and flexible and can be an easy
      way to start working on public dataset from italian administrations,
      making simple analysis and reports.
    documentation: >-
      https://github.com/teamdigitale/daf-nteract/blob/daf-develop/pdnd-tutorials/pdnd-nteract-tutorial.md
    apiDocumentation: >-
      https://docs.italia.it/italia/daf/daf-dataportal-it-docs/it/bozza/dataportal-privato/api.html
    features:
      - data science
      - data analysis
    screenshots:
      - >-
        pdnd-tutorials/img/login.png
      - >-
        pdnd-tutorials/img/search.png
      - >-
        pdnd-tutorials/img/results.png
    videos:
      - 'https://www.youtube.com/watch?v=nlZnYcz66YE'