I ❤ Wetterdienst

[amotl]

This is a space for fond testimonials about Wetterdienst.

Have a feature you love? Had a moment of joy with the software or any insights from analyzing the data?

Please share your stories!

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P.S.: This has been created after learning from saulpw/visidata#595 by @anjakefala, thanks!

[amotl]

Hi again,

like the subject says, I just wanted to thank you for this brilliant piece of software @gutzbenj and @meteoDaniel conceived the other day.

After getting in touch through #50 in the midst of 2020, we have been able to bring in many features and engagement from the community. Special thanks go to @kmuehlbauer, @wetterfrosch, @jlewis91, @Zeitsperre and @mhaberler for providing a tremendous amount of valuable suggestions, support and code in order to drive this thing forward as well as @larsrinn, @steffen746, @sk-drop, @e-dism, @hallojs, @libPhipp, @DaemonNet, @MuellerSeb, @JohannaSte and @joroeder for also providing valuable feedback as early adopters.

Also, I would like to ping @marians, the original author of dwd-weather, to let him know where we have been coming from.

Last but not least, I would like to thank @gutzbenj for his tireless work on all edges of the code base. I am really grateful for being part of the journey.

With kind regards,
Andreas.

[gutzbenj]

Dear @amotl ,

I am very thankful for what has happened in 2020 with this library and with our community. Special thanks goes to you being the main driver of the motivation that followed your effortless support after your first intervention in this project in the mids of 2020. Looking at the contributions everyone may recognize what that meant to me and it definitely gave me the opportunity for a much more meaningful contribution then to any other project especially during this pandemic.

To wrap it up, that's just the first step and many more things are going to follow in the next year!

So until then: Cheers and stay healthy!

[amotl]

Hi again,

I just had a short conversation with @mkleen about what we are doing here and he apparently liked it very much. We will be happy to hear back about any ideas which come to your plate and also appreciate any further comments, Michael!

With kind regards,
Andreas.

[jeandup264]

Hi all,

I want to start by saying that I am a huge fan of the Wetterdienst Python library and have used it for many projects with great success. It is a great idea and has lots of potential.

In the last few weeks, I have planned to use it for a much larger project but I have encountered a few issues such as

• Parameter names change unexpectedly from one version to another. For example, "temperature_air_mean_200" changed to "temperature_air_mean_2m"
• Request DMO forecast requests are not well documented and data for some stations can not be retrieved even though the data is on the Opendata website of the DWD.
• Using start_date and end_date with recent observations, returns a warning even if the dates are in range and the correct data is returned.
• Documentation in some instances is not up to date.

Some of these issues make me hesitant to use Wetterdienst. However, I will continue to support Wetterdienst and hope that it can become more reliable.

Kind regards,