COVID19 case numbers of Cantons of Switzerland and Principality of Liechtenstein (FL). The data is updated at best once a day (times of collection and update may vary). Start with the README.
License: Creative Commons Attribution 4.0 International
Currently the readme doesn't reflect that most canton's are scraped by @baryluk 's army of scrapers.
Gibt es Daten ebenfalls für Solothurn, sonst wären ja alle Kanton da
Also, COVID19_Fallzahlen_Kanton_SO_total.csv
@baryluk once more more work for you:
https://www.ow.ch/de/verwaltung/dienstleistungen/?dienst_id=5962
Obwalden now publishes numbers under "Anzahl Infizierte"
Please correct this:
COVID19_Fallzahlen_Kanton_GL_total.csv uses different column names compared to rest
Reference: zdavatz/covid19_ch#12
I think it would make sense to express date and time according to the ISO 8601:
https://en.wikipedia.org/wiki/ISO_8601
i.e. one single column (datetime) and not two separate columns (date + time).
echo SH; d=$(curl --silent 'https://sh.ch/CMS/content.jsp?contentid=3209198&language=DE&_=1584807070095' | grep data_post_content | sed -E -e 's/\\n/\n/g'); echo "Scraped at $(date --iso-8601=seconds)"; echo -n "Date and time: "; echo "$d" | grep "Im Kanton Schaffhausen gibt es" | sed -E -e 's/^.*\(([0-9.]+)\).*$/\1/'; echo -n "Confirmed cases: "; echo "$d" | grep "bestätige" | sed -E -e 's/^.*strong>([0-9]+)[^0-9]*$/\1/'SH
Scraped at 2020-03-21T16:19:46+00:00
Date and time: 20.03.2020
Confirmed cases: 14
This is really hacky, because sh.ch is absolutely abhorrent with amount of JavaScript and content that is loaded dynamically. But it works.
The URL that generates json content, was reverse engineered from looking at network traffic when loading this site: https://sh.ch/CMS/Webseite/Kanton-Schaffhausen/Beh-rde/Verwaltung/Departement-des-Innern/Gesundheitsamt-3209198-DE.html
I have no idea what the _ parameter is, some kind of timestamp I think, but I am not sure. Could be caching, and might not work. To be seen.
It just broken, because website changed format a bit.
It is now in form of a table. Should be easy to fix.
On it.
Thanks a lot. great work.
We are keen to use these data in
neherlab.org/covid19/
It would be useful to add a column for patients in intensive care. Italy provides good examples here
Currently the UR scraper fails:
Run the scraper...
Traceback (most recent call last):
File "/home/runner/work/covid_19/covid_19/scrapers/parse_scrape_output.py", line 170, in <module>
print("{:2} {:<16} {:>7} {:>7} OK {}".format(abbr, date, cases, deaths if not deaths is None else "-", scrape_time))
TypeError: unsupported format string passed to NoneType.__format__
Export database to CSV...
cc @baryluk
Here is a python scraper for Canton VD.
Hopefully it will do the job ongoing, but it's not perfect as I've had to extract the data provided in text format as I didn't find out how to download the data from datawrapper (javascript).
Also, the data provided there doesn't include data prior to 10/03/2020.
Anyways, hope this helps.
# -*- coding: utf-8 -*-
from selenium import webdriver
from bs4 import BeautifulSoup
import numpy as np
import pandas as pd
### Watch-out: installing Selenium requires Gekko and it may be easier to configure it with Chrome
geckk=r'C:\Program Files (x86)\Mozilla Firefox\firefox.exe'
'''Documentation & resources to help set-up & use selenium:
https://www.tutorialspoint.com/python_web_scraping/python_web_scraping_dynamic_websites.htm
https://www.selenium.dev/documentation/en/webdriver/web_element/
https://realpython.com/modern-web-automation-with-python-and-selenium/
https://stackoverflow.com/questions/7861775/python-selenium-accessing-html-source
https://stackoverflow.com/questions/51273995/selenium-python-dynamic-table
'''
### Set options for Selenium
options = webdriver.FirefoxOptions()
options.headless = True
options.add_argument("disable-gpu")
options.add_argument("headless")
options.add_argument("no-default-browser-check")
options.add_argument("no-first-run")
options.add_argument("no-sandbox")
options.add_argument("marionette=True")
options.add_argument("--test-type")
options.set_preference('browser.download.manager.showWhenStarting', False)
options.set_preference('browser.helperApps.neverAsk.saveToDisk', 'text/csv')
options.set_preference("browser.download.folderList",2)
options.set_preference("browser.download.manager.showWhenStarting",False)
options.set_preference("browser.download.dir","c:\\downloads")
profile = webdriver.FirefoxProfile()
profile.accept_untrusted_certs = True
driver = webdriver.Firefox(firefox_binary=geckk,options=options, firefox_profile=profile)
### Download
driver.get("https://datawrapper.dwcdn.net/tr5bJ/16/")
soup=BeautifulSoup(driver.page_source, 'html.parser')
### Get the data required (didn't manage to do differently than browsing across text)
data_cursor_start=soup.text.find('chartData: "')
data_cursor_stop=data_cursor_start+soup.text[data_cursor_start:].find('",')
zoom=str(soup.text)[data_cursor_start:data_cursor_stop]
### Create DataFrame
table_lines=zoom.split('\\n')
line_array=[]
for each_line in table_lines[1:]:
line=each_line.split('\\t')
line_array += line
line_matrix= [line_array[x:x+5] for x in range(0, len(line_array),5)]
df=pd.DataFrame(line_matrix, columns=['date', 'ncumul_hosp','ncumul_released','ncumul_deceased','ncumul_conf'])
df['date']=pd.to_datetime(df['date'],yearfirst=True)
df['abbreviation_canton_and_fl']='VD'
df['time']=np.NaN
df['ncumul_tested']=np.NaN
df['ncumul_ICU']=np.NaN
df['ncumul_vent']=np.NaN
df['source']='https://datawrapper.dwcdn.net/tr5bJ/16/'
### Format & Save CSV
new_order=['date','time','abbreviation_canton_and_fl','ncumul_tested','ncumul_conf',\
'ncumul_hosp','ncumul_ICU','ncumul_vent','ncumul_released','ncumul_deceased','source']
df=df.T.reindex(new_order).T.set_index('date')
df.to_csv('COVID19_Fallzahlen_Kanton_VD_total.csv')echo AG; URL=$(curl --silent 'https://www.ag.ch/de/themen_1/coronavirus_2/lagebulletins/lagebulletins_1.jsp' | sed -E -e 's/<li>/\n<li>/g' | grep Bulletin | grep pdf | grep href | awk -F '"' '{print $6;}' | head -1); d=$(curl --silent "https://www.ag.ch/${URL}" | pdftotext - - | egrep -A 2 "(Aarau, .+Uhr|Stand [A-Za-z]*, [0-9]+)"); echo "Scraped at $(date --iso-8601=seconds)"; echo -n "Date and time: "; echo "$d" | grep Aarau, | sed -E -e 's/.*, (.+)/\1/'; echo -n "Confirmed cases: "; echo "$d" | egrep '^[0-9]+$'AG
Scraped at 2020-03-21T17:36:17+00:00
Date and time: 20. März 2020 15.00 Uhr
Confirmed cases: 168
https://www.micro-work.net/covid/
I am planing to add you to my repository of slave covid webservices
First in csv, later in json format
echo UR; d=$(curl --silent "https://www.ur.ch/themen/2920" | grep "Personen gestiegen"); echo "Scraped at $(date --iso-8601=seconds)"; echo -n "Date and time: "; echo "$d" | sed -E -e 's/^.*\(Stand[A-Za-z ]*, ([^\)]+)\).*$/\1/' ; echo -n "Confirmed cases: "; echo "$d" | sed -E -e 's/^.* ([0-9]+) Personen gestiegen.*$/\1/'UR
Scraped at 2020-03-21T16:57:49+00:00
Date and time: 21. März 2020, 8.00 Uhr
Confirmed cases: 12
echo JU; d=$(curl --silent --user-agent "Mozilla Firefox Mozilla/5.0; openZH covid_19 at github" "https://www.jura.ch/fr/Autorites/Coronavirus/Accueil/Coronavirus-Informations-officielles-a-la-population-jurassienne.html" | egrep -B 2 'Situation .*2020'); echo "Scraped at $(date --iso-8601=seconds)"; echo -n "Date and time: "; echo "$d" | grep Situation | sed -E -e 's/^.*Situation (.+)<\/em.*$/\1/'; echo -n "Confirmed cases: "; echo "$d" | egrep "<p.*<strong>[0-9]+" | sed -E -e 's/^.*>([0-9]+)<.*$/\1/'JU
Scraped at 2020-03-21T17:21:17+00:00
Date and time: 20 mars 2020 (17h)
Confirmed cases: 29
Received an email answer from FR that they will start putting the numbers on their website as of today (time unclear) and keep updating them from today onwards.
Their email was:
Bonjour Madame
Nous avons bien reçu votre demande.
A ce sujet, dès aujourd’hui les chiffres concernant le canton de Fribourg seront publiés sur le site de l’Etat de Fribourg (www.fr.ch) et seront régulièrement mis à jour.
This serves as a reminder to myself or others to check the website periodically today.
The source clearly says:
Stand Montag, 16. März 2020, 12 Uhr,
Does someone know of Rmd or Jupyter notebooks that read and visualise the data?
If yes it could be nice to include one or two of them here. We can also add a mybinder.org link to let people run them.
Great work!
Es wäre gut, wenn die Daten in diesem Format (gleich wie Italien und China) aufbereitet werden:
Pro Tag eine Zeile für alle Kantone
https://github.com/zdavatz/covid19_ch/blob/master/data-cantons-csv/dd-covid19-ch-cantons-20200318-example.csv
Pro Tag eine Zeile für die ganze Schweiz.
https://github.com/zdavatz/covid19_ch/blob/master/data-switzerland-csv/dd-covid19-ch-switzerland-20200318-example.csv
Dann kann man die Daten direkt ins Esri reinziehen. Siehe z.B. Italien, JohnHopkins
echo LU; d=$(curl --silent 'https://gesundheit.lu.ch/themen/Humanmedizin/Infektionskrankheiten/Coronavirus' | grep "Im Kanton Luzern gibt es" | awk -F '>' '{print $3;}'); echo "Scraped at $(date --iso-8601=seconds)"; echo -n "Date and time: "; echo "$d" | sed -E -e 's/^.*Stand: (.+)(Uhr)?\).+$/\1/'; echo -n "Confirmed cases: "; echo "$d" | sed -e 's/ /\n/g' | egrep '[0-9]+' | head -1;LU
Scraped at 2020-03-21T15:21:08+00:00
Date and time: 21. März 2020, 11:00 Uhr
Confirmed cases: 109
Thanks for your work to help the people in need! Your site has been added! I currently maintain the Open-Source-COVID-19 page, which collects all open source projects related to COVID-19, including maps, data, news, api, analysis, medical and supply information, etc. Please share to anyone who might need the information in the list, or will possibly contribute to some of those projects. You are also welcome to recommend more projects.
http://open-source-covid-19.weileizeng.com/
Cheers!
I think a lot of Cantons will go in this direction:
Bestätigte Fälle and Hospitalisierungen
we should also try to scrape Hospitalisierungen as much as possible. CC @baryluk
I see here https://www.functor.xyz/covid_19/scrapers/outputs/latest.txt that NW should have 39 for the 23.03.2020 cases, but here https://github.com/openZH/covid_19/blob/master/fallzahlen_kanton_total_csv/COVID19_Fallzahlen_Kanton_NW_total.csv I still see the 23.03.2020 missing. Maybe this is just a case of [FIX] fix all scrapers #103 ?
Die Kantone Schwyz (77 Infizierte, bisher kein Todesfall) und Freiburg (202 Fälle, 4 Verstorbene) liefern ihre Zahlen nur auf Anfrage. Da keine flächendeckenden Tests gemacht würden, seien die Fallzahlen «keine relevante Zahl», begründet Freiburg seinen passive Informationspolitik.
@baryluk all other Cantons should now be available on the website.
echo GR; d=$(curl --silent "https://www.gr.ch/DE/institutionen/verwaltung/djsg/ga/coronavirus/info/Seiten/Start.aspx" | egrep ">Fallzahlen|Best(ä|ä)tigte F(ä|ä)lle|Personen in Spitalpflege|Verstorbene Personen"); echo "Scraped at $(date --iso-8601=seconds)"; echo -n "Date and time: "; echo "$d" | grep Fallzahlen | sed -E -e 's/.*Fallzahlen ([^<]+)<.*/\1/'; echo -n "Confirmed cases: "; echo "$d" | egrep "Best(ä|ä)tigte F(ä|ä)lle" | sed -E -e 's/( |<)/\n/g' | egrep '[0-9]+' | head -1; echo -n "Deaths: "; echo "$d" | grep "Verstorbene" | sed -E -e 's/( |<)/\n/g' | egrep '[0-9]+' | head -1GR
Scraped at 2020-03-21T15:43:48+00:00
Date and time: 20.03.2020
Confirmed cases: 213
Deaths: 3
echo BE; d=$(curl --silent 'https://www.besondere-lage.sites.be.ch/besondere-lage_sites/de/index/corona/index.html' | grep -A 20 'table cellspacing="0" summary="Laufend aktualisierte Zahlen'); echo "Scraped at $(date --iso-8601=seconds)"; echo -n "Date and time: "; echo "$d" | grep "Stand:" | sed -E -e 's/^.*Stand: (.+)\).*$/\1/'; echo -n "Confirmed cases: "; echo "$d" | egrep '<td .*<strong>[0-9]+<' | sed -E -e 's/.*>([0-9]+)<.*/\1/'; echo -n "Deaths: "; echo "$d" | egrep '<td[^<>]*>[0-9]+</td>' | sed -E -e 's/.*>([0-9]+)<.*/\1/';BE
Scraped at 2020-03-21T16:34:20+00:00
Date and time: 21. März 2020
Confirmed cases: 377
Deaths: 3
As the borders are not closed (and even if closed, wouldn't be foolproof), it would be interesting to collect and display the contamination rates of neighbouring France/Italy/Germany/Austria; ideally not the country-wide average, but the border regions only.
For France, one can find the numbers for Ain and Haute-Savoie faily clearly in "point de situation"-titled PDFs:
https://www.auvergne-rhone-alpes.ars.sante.fr/liste-communiques-presse
Jura, Belfort, Doubs don't have clear separate numbers so far:
https://www.bourgogne-franche-comte.ars.sante.fr/liste-communiques-presse
Haut-Rhin has again clear numbers in PDFs here:
https://www.grand-est.ars.sante.fr/liste-communiques-presse?field_archive_ars_value=0
An official repository here:
https://www.data.gouv.fr/fr/datasets/donnees-relatives-a-lepidemie-du-covid-19/#_
Otherwise an unofficial data repository is here:
https://github.com/opencovid19-fr/data
Italy has a faily complete official repository from which one could pull numbers:
https://github.com/pcm-dpc/COVID-19
Found this for Germany, at Landkreise level:
https://experience.arcgis.com/experience/478220a4c454480e823b17327b2bf1d4/page/page_1/
Here is an unofficial repository, but I can't vouch for it:
https://github.com/marlon360/rki-covid-api
And this for Austria:
https://info.gesundheitsministerium.at/
Again, maybe scraping from Wikipedia is more feasible, with the risk it may be unreliable or defaced.
When visualizing data, it would be great to be able to compare CH-data with trajectories of other countries, most notably Italy and South-Corea.
Specifically, we'd like to develop "small multiples", displaying each CH-canton.
Visualization could be along the lines of this FT viz, thus we need world data to provide the lines in the grey backdrop:
I ran it again, now I get:
GE - - - FAILED
SZ - - - FAILED
VD - - - FAILED
Can you add a verbose option, to show where it fails? Does that make sense?
First, thanks for you work.
Scrapers should create a snapshot [1] from the source homepage.
This should be done, at least, once a day.
Even when the source is not changed.
Because this will also document that a source (canton/BAG) has not published new data.
I'm developing a REST-API to provide our data in a machine-readable way. This helps other projects to integrate our data. Read more here: https://github.com/apfeuti/covid_19/blob/rest-api/rest/README.md
Leave your comment - if you find it useful, then I will make a pull-request.
I'm unsure if my REST-API is reading the correct file.
Regards
Andreas
Hello,
I am curious - what is the story with that link in the readme.
Is this a marketing page for the gitub repository?
echo TG; d=$(curl --silent https://www.tg.ch/news/fachdossier-coronavirus.html/10552 | egrep "<li>Anzahl bestätigter|<em>Stand"); echo "Scraped at $(date --iso-8601=seconds)"; echo -n "Date and time: "; echo "$d" | sed -E -e 's/^.*Stand ([^<]+)<.*$/\1/'; echo -n "Confirmed cases: "; echo "$d" | grep 'Anzahl' | sed -E -e 's/.* ([0-9]+)<.*$/\1/'TG
Scraped at 2020-03-21T15:30:42+00:00
Date and time: 21.3.20
Confirmed cases: 56
By automatically generating summary tables of the data provided by openzh and daenuprobst, we have found incosistencies between the two datasets.
daenuprobst:
https://github.com/daenuprobst/covid19-cases-switzerland/blob/master/covid19_cases_switzerland.csv
Is there a way to align the two datasets?
All the best, Max
echo GE; d=$(curl --silent "https://www.ge.ch/document/point-coronavirus-maladie-covid-19/telecharger" | pdftotext - - | egrep "Dans le canton de Genève|Actuellement.*cas ont|décédées"); echo "Scraped at $(date --iso-8601=seconds)"; echo -n "Date and time: "; echo "$d" | grep "Dans le" | sed -E -e 's/.*\((.*)\).*$/\1/'; echo -n "Confirmed cases: "; echo "$d" | grep "cas ont" | sed -E -e 's/( |<)/\n/g' | egrep '[0-9]+' | head -1; echo -n "Deaths: "; echo "$d" | grep "décédées" | sed -E -e 's/^.*([0-9]+) [^,]* décédées.*$/\1/'GE
Scraped at 2020-03-21T15:58:51+00:00
Date and time: 20.03 à 8h00
Confirmed cases: 873
Deaths: 7
using pdftotext from poppler-utils (using version 0.71.0).
There are some extra data in pdf, like number of hospitalized cases, number of cases with care, and number of cases with intensive care.
There is also this pdf, with a nice table and two day history (yesterday and today)
https://www.ge.ch/document/covid-19-situation-epidemiologique-geneve/telecharger
but the table and graphs are raster images, so really not conductive to parsing. It can be done, but it is better to ask them to improve the website instead.
echo ZH; d=$(curl --silent https://gd.zh.ch/internet/gesundheitsdirektion/de/themen/coronavirus.html | egrep "Im Kanton Zürich sind zurzeit|\\(Stand"); echo "Scraped at $(date --iso-8601=seconds)"; echo -n "Date and time: "; echo "$d" | sed -E -e 's/.*Stand (.+) Uhr.*/\1/'; echo -n "Confirmed cases: "; echo "$d" | sed -e 's/ /\n/g' | egrep '[0-9]+' | head -1ZH
Scraped at 2020-03-21T15:25:55+00:00
Date and time: 20.3.2020, 16.30
Confirmed cases: 773
Besteht die Möglichkeit, dass wir für alle Kantone ein einheitliches CSV-Format kriegen? Am besten wäre ein Tool, welches das Format validiert vor dem Upload.
Ist die Kantonsnummer schon in den Files vorhanden? Siehe zdavatz/covid19_ch#7 (comment)
echo NE; d=$(curl --silent "https://www.ne.ch/autorites/DFS/SCSP/medecin-cantonal/maladies-vaccinations/Pages/Coronavirus.aspx" | grep 'Nombre de cas confirmés'); echo "Scraped at $(date --iso-8601=seconds)"; echo -n "Date and time: "; echo "$d" | sed -E -e 's/^.*>Neuchâtel( )* +([^<]+)<\/span>.*$/\2/'; echo -n "Confirmed cases: "; echo "$d" | sed -E -e 's/<br>/\n/g' | grep -A 3 ">Neuchâtel" | egrep "Nombre de .* confirmés" | sed -E -e 's/^.*[^0-9]+([0-9]+) pers.*$/\1/'; echo -n "Deaths: "; echo "$d" | sed -E -e 's/<br>/\n/g' | grep -A 3 ">Neuchâtel" | egrep "Nombre.* décès" | head -1 | sed -E -e 's/^.*[^0-9]+ ([0-9]+)( pers.*|<\/strong).*$/\1/'NE
Scraped at 2020-03-21T17:11:14+00:00
Date and time: 21.03.2020, 15h30
Confirmed cases: 177
Deaths: 2
As more and more people is involved (yay!) in updating the data and building scrapers, we might have to start thinking about how to monitor the updating process, and think about how we can ensure that the data is being updated even if one of the scrapers fails or someone forgets to check for new data.
Do you habe suggestions how we could manage this @metaodi @baryluk @ebeusch @herrstucki @andreasamsler @zdavatz ?
A table in the Readme (or somewhere else?) which is refreshed automatically after each push to a single file might help, similar to what @baryluk has created here:
The table we have now is built by hand.
Könnt Ihr bitte die Files in unterschiedlichen Ordner sammeln, Vorschlag:
Die Files in den Ordner sollten validiert sein, d.h. gleiche Anzahl Spalten, gleiche Spalten Titel.
NW changed the wording on their site.
New:
Bisher sind 42 Personen im Kanton Nidwalden positiv auf das Coronavirus getestet worden
Dear all,
thanks a lot for keeping this repo up-to-date! There seems to be some confusion regarding the terminology: the infection rates refer to the infection with SARS-Cov-2, whereas the disease caused by the virus is called Covid-19.
Best wishes,
-Filippo
Add raw population data (residents and absolute number of people over 65 per canton) to the panel files.
https://github.com/openZH/covid_19/tree/master/fallzahlen_kanton_total_csv
I see data for the 23.03.2020 here https://www.vd.ch/toutes-les-actualites/hotline-et-informations-sur-le-coronavirus/.
... and here https://www.functor.xyz/covid_19/scrapers/outputs/latest.txt I see failed.
echo BS; URL=$(curl --silent https://www.gd.bs.ch/ | egrep 'Tagesbulletin.*Corona' | grep href | head -1 | awk -F '"' '{print $2;}'); d=$(curl --silent "https://www.gd.bs.ch/${URL}" | grep "positive Fälle"); echo "Scraped at $(date --iso-8601=seconds)"; echo -n "Date and time: "; echo "$d" | sed -E -e 's/^.*Stand [A-Za-z]*,? (.+), insgesamt.*$/\1/'; echo -n "Confirmed cases: "; echo "$d" | sed -E -e 's/^.*insgesamt ([0-9]+) positive.*$/\1/'BS
Scraped at 2020-03-21T16:47:22+00:00
Date and time: 21. März 2020, 10 Uhr
Confirmed cases: 299
Very sloppy. It goes to the gd.bs.ch homepage, and takes the first bulletin, then follows it and try to parse. It looks last 6 days the text was relatively consistent in the form, so the script should work fine.
Thanks for aggregating these data. We are using the file
https://github.com/openZH/covid_19/blob/master/COVID19_Cases_Cantons_CH_total.csv
to feed data into neherlab.org/covid19/
However, it seems the file we are using is not in sync with the files in
https://github.com/openZH/covid_19/tree/master/fallzahlen_kanton_total_csv
please advise as to files we should be using and what is kept up-to-date.
Our parser is here:
https://github.com/neherlab/covid19_scenarios_data/blob/master/parsers/switzerland.py
In the directory with data:
for f in *.csv; do awk -F , '{if ($5) { print $1, $3, $5; }}' "$f" | tail -1; done | awk 'BEGIN { sum = 0; } { sum += $3; } END { print sum; }'6262
Getting latest confirmed cases by subdivision:
for f in *.csv; do awk -F , '{if ($5) { print $1, $3, $5; }}' "$f" | tail -1; done | sort -r -n -k 32020-03-20 VD 1432
2020-03-21 TI 918
2020-03-20 GE 873
2020-03-20 ZH 773
2020-03-20 BE 377
2020-03-21 BS 299
2020-03-21 BL 282
2020-03-20 VS 282
2020-03-20 GR 213
2020-03-20 AG 165
2020-03-20 NE 159
2020-03-21 LU 109
2020-03-20 SG 98
2020-03-21 TG 56
2020-03-20 ZG 48
2020-03-20 FL 40
2020-03-20 JU 29
2020-03-20 NW 28
2020-03-19 GL 17
2020-03-20 SH 14
2020-03-15 SZ 13
2020-03-21 UR 12
2020-03-18 AR 11
2020-03-09 FR 11
2020-03-14 AI 2
2020-03-13 OW 1
Feel free to include it in the repo, or readme. Public Domain. Signed off, Witold Baryluk.
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.