Which of the weather on the Internet is more reliable?

Please share it, please share it, thank you

Some time ago, I used all the weather APIs that could be found all over the world. Yes, all the weather APIs in the world used it all over again.

I picked out 6 of the best, the most complete data, free, stable, all kinds of scenarios are suitable for weather APIs, and one by one was measured one by one.,Hope it helps you.

The answer is quite a lot, but I recommend it without using it at all.The 6 weather APIs recommended in this article, all of which have been tested one by one one by one, and these 6 are the six best selected from the more than 20 weather APIs I measured, covering the basic weather needs, Elementary weather needs, business weather needs and scientific research needs, you will definitely find the weather API that is suitable for you in the article

Recommended Reading: "Hands and teach you to build a weather data viewing board" tutorial, and give it to the weather.


--- The following is the 6 weather API I measured ---

Weather API Contains rich weather data, not only the basic data such as real -time temperature, humidity, wind speed, and precipitation, but also past historical weather data and future weather prediction data.Top weather API interfaceIt will also include data such as weather disaster warning, air quality index, sunrise, sunset, tidal and moon -related astronomical weather.The weather API is not difficult to get. This tutorial will introduce 6 free weather APIs at home and abroad, and teach you to build a set of weather data on your own.

The weather APIs introduced in this article are all used by myself. They are 6 high -quality free weather API selected from many weather APIs.These 6 APIs are the business model of basic free value -added payments. This model ensures that free users can use it for a long time and do not worry about the data source hanging.In particular, the global weather API introduced in this article is very friendly to free users. There are more free and open data and less restrictions. I will introduce it in detail in the second half of this article.

This article explains the characteristics and access methods of the following 6 free weather APIs in detail

  • Gaode weather API -free, stable, minimalist, suitable for weather forecast basic needs
  • I know the weather API -free, lightweight, professional, suitable for the primary needs of weather forecasting
  • API -free and paid permissions, non -commercial unlimited free, containing air quality, astronomical weather
  • OpenWeather -Free 1 million times/month -level real -time forecast, weather cloud map
  • Accuweather -The world's largest meteorological data service provider, with long history, accurate data, weather API king
  • Visual Crossing -Non -developer uses friendly 50 -year historical meteorological data free call

Gaode Map的天气服务面向仅需要稳定的实时天气和简单的未来数天预测服务的reps shoes开发者,高德天气相对于本文介绍的Hot discussion information website其他天气API 来说,best quality fake shoes显得有些简略,Hot discussion information website但如果你对天气的需求就是highest quality PK shoes实时和Simple future forecast, then Gaode must be your good choice.Do not wind, just give you the most needed part.

  • 300,000 times/day, 200 times/second concurrent
  • Real -time weather forecast
  • Weather forecast in the next 4 days
  • Maximum temperature, wind direction, humidity, humidity
  • Fusion with Gaode map data, extremely rich location map path data
  • Open and registerGaode Open Platform
  • EnterThe console of Gaode Development Platform, Create applications and get API Key
  • Read Gaode MapWeather development documentation
  • Open the API interface tool and fill in the Gaode Map weather API URL
https://restapi.amap.com/v3/weather/weatherinfo?key= 【Your _api_key】 8 & City = 110000 & Extensions = all
  • Gaode Weather API Example: Beijing Forecast in the next three days (see Gaode weatherUrban coding) Beijing's urban code is 110000

This tutorial uses "Kara Cloud" as an example of the interface tool, and directly calls the Gaode weather API in Karayun to query data to return successfully.

Use Carla Cloud to simply drag and quickly build your own "Weather Forecast Data Kanban". The last chapter of this article will be explained in detail.

I know the weather is used as a whole. It feels lightweight. For free version of users, there is no restriction on the number of access to access, and it can be accessed unlimited. This has exceeded most domestic weather APIs.The free version can call the weather forecast for the next three days, including two elements: weather weather and temperature.Putting it in the second introduction is because the weather knows the weather in the previous article, there is an upgraded space.

  • Permanent free, unlimited interview, 20 times/minute
  • 370 major cities in the country
  • Live weather data
  • Weather forecast in the next 3rd
  • Open the heart to know the weather registration account
  • Create your product at the heart of the weather console and get the API Key
  • Read the Weather API development documentation
  • Open the API interface tool and fill in the API URL of the Weather.
https://api.seniverse.com/v3/weadher/daily.json?key= [Your _api_key] & local = beijing & language = zh-hans & unit = -1 & days = 5
  • I know weather API Example: Beijing in the next three days of weather

The picture above shows the return data of "Knowing the Weather API".

This tutorial uses "Kara Cloud" as a demonstration. Compared with other interface testing tools, Kara Cloud can directly complete the construction of the background tool while testing the interface.

How to quickly build your own "Weather Forecast Data Panel" with Carla Cloud, the last chapter of this article explains in detail.

Must be recommendedAnd windy weather, Hefeng Weather API is completely free for non -commercial users and does not distinguish with permissions, that is, what weather data can commercial users read, and free users can read what weather data can be read.Natural disasters, air quality, extreme weather early warning, and astronomical information are very rare in the free version of the domestic weather API. The business model of free and paid the same right with the wind and weather allows everyone to use all the data unlimited.When it comes to commercial projects, it can be said to be very conscience after income.

  • Non -commercial users 1,000 times/day to SDK unlimited access
  • Position and display the corresponding weather information according to the coordinates, city names, and grid points
  • Real -time, three -day, seven days weather forecast
  • Early warning information of the disaster extreme weather
  • National Air Quality Information
  • Tropical typhoon information
  • Astronomical data (sunrise, sunset, moon phase, sun angle, etc.)
  • OpenOpen platform with wind and weatherRegister an account
  • existHefeng Weather ConsoleCreate your application and get API Key
  • readAnd the wind weather development document (Geographical location, air, historical dataDevelopment documentation.
  • Open the API interface tool and fill in the wind weather API URL
https://devapi.qweather.com/v7/weadher/now?Location=1010100&KEY= [Your _api_Key]

! [This tutorial uses "Kara Cloud" as a demonstration (03-03-kalacloud.jpg)

The picture above shows the return data of Karayun successfully calling "Hefeng Weather API".

This tutorial uses "Kara Cloud" as a demonstration. Compared with other interface testing tools, Kara Cloud can directly complete the construction of the background tool while testing the interface.

How to quickly build your own "Weather Forecast Data Panel" with Carla Cloud, the last chapter of this article explains in detail.

Then let's talk about global weather API

The free file of the international weather API service provider will provide more free data compared to China,Openweather As an old weather information API service provider, it can be said that it is very conscience.Not only is the number of calls 1 million/month, but the accuracy of the forecast is free for 60 minutes and 48 -hour per hour forecast for free. It is very practical for the weather sensitivity industry.

  • 1 million calls per month, 60 times/minute
  • Position and display the corresponding weather information according to the coordinates, city names, and grid points
  • Real -time weather information
  • The minute weather forecast within 60 minutes
  • Weather forecast per hour within 48 hours
  • 7 days daily weather forecast
  • Historical weather data in the past 5 days
  • Basic weather cloud map
  • Global Air Quality Information
  • Open Openweather URL, mailbox registration, verify the mailbox
  • Open OpenWeather My API Keys Create your own key on the page


  • Check Openweather development documentation
  • Open the API interface tool and fill in the API url of Openweather
http://api.openweadhermap.org/data/2.5/facecast?q=beijing&Appid= "
  • weather: The current weather forecast
  • Q: Geographical location (city name)

The picture above shows the return data of Karayun's successful call "OpenWeather API".

This tutorial uses "Kara Cloud" as a demonstration. Compared with other interface testing tools, Kara Cloud can directly complete the construction of the background tool while testing the interface.

How to quickly build your own "Weather Forecast Data Panel" with Carla Cloud, the last chapter of this article explains in detail.

Accuweather Founded in 1962, the founder Joel was still reading Dr. Meteorological at the Bin Da.UCUWEAR is now the world's largest and most authoritative meteorological dataset. Most of the weather query data used in the world's Android machines comes from accounther.

In fact, accounthery is not friendly to free users. The daily calls can be called very small, but because it is the king of the global weather API, the meteorological data, disaster forecast and other data, and their accurate, detailed and authoritative, I still put it on it inIn this list, if you are choosing the weather API, no matter if you use the accounts that you do not need now, I think you must know what the world's most authoritative and best weather API looks like.And aviation and field operations will be supported by the weather data.

  • Position and display the corresponding weather information according to the coordinates, city names, and grid points
  • Real -time meteorological data
  • 24 -hour historical meteorological data
  • Daily weather forecast for the next 5 days
  • Forecast per hour within 12 hours
  • Life index forecast within the next 5 days
  • 50 API calls per day
  • Open Accuweather developer station, Email register and activate the account
  • Open My apps Page, create your app and get API Key


  • Read an accounther API documentation
  • Open the API interface tool. This tutorial uses Kara Cloud as an example.Register and log in to Kara Cloud, fill in the Baseurl of Acacuweather at "Data Source"
http://dataservice.accuweather.com/locations/v1/cities/geoposity/search?Q=39.9, 116.4&LANGUAGE=zh-cn&apikey = YOUR_APP_KEY]
  • Q: Here you can write the city name, or you can use the latitude and longitude to query the location like this example

The picture above shows the return data of Karayun's successful calling "Accuweather API".

This tutorial uses "Kara Cloud" as a demonstration. Compared with other interface testing tools, Kara Cloud can directly complete the construction of the background tool while testing the interface.

How to quickly build your own "Weather Forecast Data Panel" with Carla Cloud, the last chapter of this article explains in detail.

Visual Crossing For data scientists, data analysts, meteorological researchers, and other academic and corporate meteorological analysis areas, that is to say, Visual Crossing does not assume that users are programmers who write codes like other weather APIs, so on their website, rights and AfricaThe programmer provides a very friendly visual meteorological analysis tool.for example API BuilderYou only need to enter your own needs, it helps you generate the corresponding API URL, you only need to copy this URL to your API interface tool to be convenient to use.

  • Call 1000 times / day
  • 50 -year historical meteorological data
  • 15 -day weather forecast
  • Extractional warning
  • Current weather conditions
  • Astronomical Data
  • Open Visual Crossing official websiteEmail registration and activation account
  • Open Personal account page, Get your API Key
  • View Visual Crossing API Development documentation
  • We can directly enter the location we want to query here. The URL will help us generate the corresponding API
https://weadherCrossing.com/visualCrossingwebServices/Services/timeline/beijing?unitgroup=Metric&KEY = json

The picture above is the return data of Karayun's successful call "Visual Crossing API".

This tutorial uses "Kara Cloud" as a demonstration. Compared with other interface testing tools, Kara Cloud can directly complete the construction of the background tool while testing the interface.

How to quickly build your own "Weather Forecast Data Panel" with Carla Cloud, the last chapter of this article explains in detail.

Kara Cloud is a set of low -code development tools. Compared with the POSTMAN interface testing tool, Kara Cloud's advantage is that while doing the API interface test, the background tool is directly set up, and the developer does not need any front -end technology.Just fill in the API URL to drag through the mouse to quickly build a set of weather forecast data viewing boards, and you can share the data on the board with other friends.

Use Cara Cloud 10 minutes of weather data data view board

Weather Data Panel DEMO:my.kalaCloud.com/apps/y

  • OpenOpen platform with wind and weatherRegister an account
  • existHefeng Weather ConsoleCreate your application and get API Key
01-01-Qweath-API-Key
  • readAnd the wind weather development document (Weather, geographical location, air, historical dataDevelopment documentation.
  • We will use this time
    • Real -time weatherThedevapi.qweather.com/v7///Request parameters
    • An hour weather forecastThedevapi.qweather.com/v7///Request parameters
    • Forecast of the weatherThedevapi.qweather.com/v7///Request parameters
    • Real -time space qualityThedevapi.qweather.com/v7///Request parameters
  • freeRegister Karayun, Carayun can complete the construction of the weather data in 10 minutes.
  • Cara Cloud is a new generation of low -code development tools, which is free of installation deployment. It can access common databases and APIs including MySQL with one click.You don't need to understand any front -end technology. Simply dragging can quickly build data tools such as weather data, and you can also share it with other students.
01-02-Weather-API-DATA

we are atKara Cloud Data SourcePage, the four data source APIs of the wind and weather are added separately.

Note that when adding the data source, remember to add the API key together

For example, add and weather 24 -hour forecast API:

https://devapi.qweather.com/v7/weather/24h?key= 【Your API Key】 &
02-01-all-data-query

Add the four data sources of the wind and weather like this respectively

Real -time weather: https://devapi.qweather.com/v7/weather/now? Key = 【Your API Key】 &An hour weather forecast: https://devapi.qweather.com/v7/weather/24h? Key = [Your API Key] & &Seven on the 7th weather forecast: https://devapi.qweather.com/v7/weather/7d? Key = 【Your API Key】 &Real -time space quality: https://devapi.qweather.com/v7/air/now? Key = 【Your API Key】 & &
01-04-Weather-BUILD

existKara Cloud Application Page Create the "Hefeng Weather Data Panel" APP. After entering the APP, select the "Query Edit" at the top to enter the data source editing.

01-05-weather-boild-data
  1. Switch to the "Query Edit" page
  2. New inquiry: We create a new query, which is a bridge connected by the back -end data source and the front -end component
  3. Data source selection of "harmonious weather & real -time" we just added
  4. Change the name of Query to day_now It is convenient for us to use in the code for a while
  5. Write on the request parameter part location = 101010100 This is the number of Beijing region (View location code here.
  6. Click to save, run
  7. You can see the data returned by the API

At this time, we have connected the Kara Cloud and the wind weather API. In the next step, we map the data to the front -end component

01-06-line.gif
{ { { {   (Function SetOption () {       const option = {   Title: {     text: '时️ Hour weather forecast'  },  Tooltip: {     Trigger: 'Axis'  },  TOOLBOX: {     show: true,    Feature: { {       datazoom: {         yaxisindex: 'None'      },      dataView: { readonly: false},      Magictype: { Type: ['line', 'Bar']},      Restore: { },      Saveasimage: { }    }  },  xaxis: {     Type: 'Category',    Boundarygap: False,    data: array.from (day_hours.data.hourly, ({ fxtime}) => fxtime.slice (11,16)),    axislabel: {       // x coordinate shaft label related settings      interval: 0,      rotate: '45'    }  },  yaxis: {     Type: 'Value',    axislabel: {       Formatter: '{ Value} ° C'    }  },  series: [[[[    { {       Type: 'LINE',      data: array.from (day_hours.data.hourly, ({ temp}) => test),      markpoint: {         Data: [[          { type: 'max', name: 'max'},          { type: 'min', name: 'min'}        ]      },      markline: {         data: [{ type: 'average', name: 'avg'}]      }    },    { {       markline: {         Data: [[          { Type: 'Average', name: 'avg'},          [            { {               Symbol: 'None',              x: '90%',              yaxis: 'max'            },            { {               Symbol: 'Circle',,,              label: { {                 position: 'START',                Formatter: 'MAX'              },              Type: 'Max',              name: 'The highest point'            }          ]        ]      }    }  ]}      Return option;    }) ((((((())}}
  • Kara Cloud's chart component logic and grammar and grammar and grammar ECharts Consistent, if you are skilled in using eCharts, it is also easy to draw charts in Kara Cloud.
  • Read the query you just accessed
Array.from (day_hours.data.hourly, ({ temp}) => temp),

We take day_hours Query hourly.temp Data in the 24 -hour weather forecast, we have to get the temperature value of 24 hours per hour.(Please follow this tutorial step by step and keep the same name as this tutorial, otherwise it is easy to make mistakes)

  • That's it that simple. Paste the code directly in the chart component of Kara Cloud, and the folding diagram is automatically generated
01-07-SELECT
  • Drag a choice component to the page
  • Select the configuration page of the component, configuration component, and fill in the code in the option label and option value.
    ["Beijing", "Shanghai", "Hangzhou", "Guangzhou", "Shenzhen", "Nanjing"]

    ["101010100", "101020100", "101210101", "101280101", "101280601", "101190101"]

  • Will Select1 The data in the component is mapped into Query
01-08-SELECT-Query
local = { select1.value}}}

Replace the location code for{ SELECT1.VALUE}} Select the component data to connect the front and back end.

When the user selects the city name in the selection component, the chart component will retrieve the API to display the corresponding urban weather forecast.

At this point, a basic weather board has been completed. In the next step, we will pull other data down according to the principle of building this step and map it to the corresponding components.

Like Step 3, we will first connect all API data to Query for later use.

02-01-all-data-query
Real -time weather: https://devapi.qweather.com/v7/weather/now? Key = 【Your API Key】 &An hour weather forecast: https://devapi.qweather.com/v7/weather/24h? Key = [Your API Key] & &Seven on the 7th weather forecast: https://devapi.qweather.com/v7/weather/7d? Key = 【Your API Key】 &Real -time space quality: https://devapi.qweather.com/v7/air/now? Key = 【Your API Key】 & &
02-Query-DATA
02-03-dashboard
{ // temperature instrument panel  (Function SetOption () {       const option = {           Title: {     Text: 'Temperature'  },          series: [[[[    { {       Type: 'Gauge',      Center: ['50%', '60%'],      Startangle: 200,      endangle: -20,      min: 0,      MAX: 60,      splitnumber: 12,      itemStyle: { {         Color: '#FFAB91'      },      Progress: {         show: true,        width: 30      },      pointer: { {         show: false      },      axisline: { {         linestyle: {           width: 30        }      },      axistick: { {         Distance: -45,        splitnumber: 5,        linestyle: {           width: 2,          color: '#999'        }      },      splitline: {         distance: -52,        length: 14,        linestyle: {           width: 3,          color: '#999'        }      },      axislabel: {         Distance: -20,        Color: '#999',        fontsize: 20      },      anchor: { {         show: false      },      Title: {         show: false      },      Detail: {         Valueanimation: true,        width: '60%',        lineheight: 40,        borderradius: 8,        OffsetCenter: [0, '-15%'],        fontsize: 30,        fontweight: 'Bolder',        Formatter: '{ value} ° C',        Color: 'Auto'      },      data: [day_now.data.now.temp] // The data returned from query day_now    },    { {       Type: 'Gauge',      Center: ['50%', '60%'],      Startangle: 200,      endangle: -20,      min: 0,      MAX: 60,      itemStyle: { {         Color: '#fd7347'      },      Progress: {         show: true,        width: 8      },      pointer: { {         show: false      },      axisline: { {         show: false      },      axistick: { {         show: false      },      splitline: {         show: false      },      axislabel: {         show: false      },      Detail: {         show: false      },      data: [day_now.data.now.temp]    }  ]};      Return option;    }) ((((((())}}{ // Air Quality Instrument Plate  (Function SetOption () {       const option = {           Title: {     Text: 'Air Quality'  },          series: [[[[    { {       Type: 'Gauge',      Center: ['50%', '60%'],      Startangle: 200,      endangle: -20,      min: 0,      MAX: 60,      splitnumber: 12,      itemStyle: { {         Color: '#4AE898'      },      Progress: {         show: true,        width: 30      },      pointer: { {         show: false      },      axisline: { {         linestyle: {           width: 30        }      },      axistick: { {         Distance: -45,        splitnumber: 5,        linestyle: {           width: 2,          color: '#999'        }      },      splitline: {         distance: -52,        length: 14,        linestyle: {           width: 3,          color: '#999'        }      },      axislabel: {         Distance: -20,        Color: '#999',        fontsize: 20      },      anchor: { {         show: false      },      Title: {         show: false      },      Detail: {         Valueanimation: true,        width: '60%',        lineheight: 40,        borderradius: 8,        OffsetCenter: [0, '-15%'],        fontsize: 30,        fontweight: 'Bolder',        Formatter: '{ value} aqi',        Color: 'Auto'      },      data: [day_air.data.now.aqi]    },    { {       Type: 'Gauge',      Center: ['50%', '60%'],      Startangle: 200,      endangle: -20,      min: 0,      MAX: 60,      itemStyle: { {         Color: '#01C260'      },      Progress: {         show: true,        width: 8      },      pointer: { {         show: false      },      axisline: { {         show: false      },      axistick: { {         show: false      },      splitline: {         show: false      },      axislabel: {         show: false      },      Detail: {         show: false      },      data: [day_air.data.now.aqi]    }  ]};      Return option;    }) ((((((())}}{ // humidity instrument panel  (Function SetOption () {       const option = {           Title: {     text: 'humidity'  },          series: [[[[    { {       Type: 'Gauge',      Center: ['50%', '60%'],      Startangle: 200,      endangle: -20,      min: 0,      MAX: 100,      splitnumber: 10,      itemStyle: { {         color: '#00Deff'      },      Progress: {         show: true,        width: 30      },      pointer: { {         show: false      },      axisline: { {         linestyle: {           width: 30        }      },      axistick: { {         Distance: -45,        splitnumber: 5,        linestyle: {           width: 2,          color: '#999'        }      },      splitline: {         distance: -52,        length: 14,        linestyle: {           width: 3,          color: '#999'        }      },      axislabel: {         Distance: -20,        Color: '#999',        fontsize: 20      },      anchor: { {         show: false      },      Title: {         show: false      },      Detail: {         Valueanimation: true,        width: '60%',        lineheight: 40,        borderradius: 8,        OffsetCenter: [0, '-15%'],        fontsize: 30,        fontweight: 'Bolder',        Formatter: '{ value} %',        Color: 'Auto'      },      data: [day_now.data.now.humidity]    },    { {       Type: 'Gauge',      Center: ['50%', '60%'],      Startangle: 200,      endangle: -20,      min: 0,      MAX: 100,      itemStyle: { {         color: '#31bbcf'      },      Progress: {         show: true,        width: 8      },      pointer: { {         show: false      },      axisline: { {         show: false      },      axistick: { {         show: false      },      splitline: {         show: false      },      axislabel: {         show: false      },      Detail: {         show: false      },      data: [day_now.data.now.humidity]    }  ]};      Return option;    }) ((((((())}}
02-04-7day
{ { { {   (Function SetOption () {       const option = {   Title: {     Text: 'Seven Days Forecast'  },  Tooltip: {     Trigger: 'Axis'  },  legend: { },  TOOLBOX: {     show: true,    Feature: { {       datazoom: {         yaxisindex: 'None'      },      dataView: { readonly: false},      Magictype: { Type: ['line', 'Bar']},      Restore: { },      Saveasimage: { }    }  },  xaxis: {     Type: 'Category',    Boundarygap: False,    data: array.from (day_seven.data.daily, ({ fxdate}) => fxdate.slice (5)),  },  yaxis: {     Type: 'Value',    axislabel: {       Formatter: '{ Value} ° C'    }  },  series: [[[[    { {       name: 'highest temperature',      Type: 'LINE',      Data: array.from (day_seven.data.daily, ({ tempmax}) => Tempmax),      markpoint: {         Data: [[          { type: 'max', name: 'max'},          { type: 'min', name: 'min'}        ]      },      markline: {         data: [{ type: 'average', name: 'avg'}]      }    },    { {       name: 'minimum temperature',      Type: 'LINE',      data: array.from (day_seven.data.daily, ({ tempmin}) => Tempmin),      markpoint: {         Data: [{ name: 'week lowest', value: -2, xaxis: 1, yaxis: -1.5}]      },      markline: {         Data: [[          { Type: 'Average', name: 'avg'},          [            { {               Symbol: 'None',              x: '90%',              yaxis: 'max'            },            { {               Symbol: 'Circle',,,              label: { {                 position: 'START',                Formatter: 'MAX'              },              Type: 'Max',              name: 'The highest point'            }          ]        ]      }    }  ]};      Return option;    }) ((((((())}}
02-05-Text-Query
Wind direction: { day_now.data.now.winddir}} // Example
  • We can return the values in the API back to the list and map them to the Text component, so that we can make a weather forecast data details page.
  • The mapping method is also easy, such as "wind direction", we can write this wayWind direction: { day_now.data.now.winddir}}}
    • day_now.data : This is the query return value of the real -time weather
    • now.winddir:this isday_now.data The array of related directions contained in
02-06-share

At this point, we have completed the weather forecast data kanban.

In the tools made by Kara Cloud, you can also click on the upper right corner and share the application to other students in the team.

Share the weather data view board for your team:my.kalaCloud.com/apps/y

This article explains in detail how to use Cara Cloud to quickly build weather data viewing in 10 minutes.Using Kara Cloud without learning any front -end technology at all, drag it directly, simple and easy to use.

01-weather-dashboard

Cara Cloud is a new generation of low -code development tools, which is free of installation deployment. It can access common databases and APIs including MySQL with one click.Customized development can be customized according to your own workflow.Without tedious front -end development, you only need to drag it simply to quickly build an internal tool for the enterprise.It turns out that the three -day development workload can be reduced to 1 hour after using Kara Cloud. WelcomeFree trial Kara Cloud


More Karayun use tutorials, you can visitKarayunView the official website.

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