Ozon3 is an open-source Python package to easily obtain real-time, historical, or forecasted air quality data anywhere in the world. Reliable, accurate, and simple. Has 45 stars, 22 forks, 14 contributors, and 3 users so far.
Describe features.
Air quality data available for 11,000+ stations, and 1000 cities.
Uses the World Air Quality Index's API under the hood, meaning accurate and reliable data.
Historical air quality data from 2014 onwards.
Real-time air quality data for 15 parameters (updated hourly).
7 and 14-day air quality forecasts for all stations.
Completely free and open-source for everyone!
What's the difference between this Python project and similar ones?
Enumerate comparisons.
All other air quality data packages are simple wrappers around air quality APIs. Ozon3, by comparison, provides complex methods and combines a lot of data from the AQICN API to provide the perfect interface for python programmers to access air quality data.
No other package can provide this quantity of historical data for free.
No other package covers this many stations and cities.
Tried and tested, and proven to work really well!
Anyone who agrees with this pull request could submit an Approve review to it.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/2316
**Author:** [@Milind220](https://github.com/Milind220)
**Created:** 1/16/2023
**Status:** ❌ Closed
**Base:** `master` ← **Head:** `master`
---
### 📝 Commits (1)
- [`6ab13c6`](https://github.com/vinta/awesome-python/commit/6ab13c6f4381a1b665bbf125c62f2065f6ec9587) Add ozon3 to misc section of list
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
## What is this Python project?
Ozon3 is an open-source Python package to easily obtain real-time, historical, or forecasted air quality data anywhere in the world. Reliable, accurate, and simple. Has 45 stars, 22 forks, 14 contributors, and 3 users so far.
Describe features.
- Air quality data available for 11,000+ stations, and 1000 cities.
- Uses the World Air Quality Index's API under the hood, meaning accurate and reliable data.
- Historical air quality data from 2014 onwards.
- Real-time air quality data for 15 parameters (updated hourly).
- 7 and 14-day air quality forecasts for all stations.
- Completely free and open-source for everyone!
## What's the difference between this Python project and similar ones?
Enumerate comparisons.
- All other air quality data packages are simple wrappers around air quality APIs. Ozon3, by comparison, provides complex methods and combines a lot of data from the AQICN API to provide the perfect interface for python programmers to access air quality data.
- No other package can provide this quantity of historical data for free.
- No other package covers this many stations and cities.
- Tried and tested, and proven to work really well!
--
Anyone who agrees with this pull request could submit an *Approve* review to it.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
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📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/2316
Author: @Milind220
Created: 1/16/2023
Status: ❌ Closed
Base:
master← Head:master📝 Commits (1)
6ab13c6Add ozon3 to misc section of list📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
What is this Python project?
Ozon3 is an open-source Python package to easily obtain real-time, historical, or forecasted air quality data anywhere in the world. Reliable, accurate, and simple. Has 45 stars, 22 forks, 14 contributors, and 3 users so far.
Describe features.
What's the difference between this Python project and similar ones?
Enumerate comparisons.
Anyone who agrees with this pull request could submit an Approve review to it.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.