Spending hours finding or downloading weather data? Find hourly weather data for any location from 1940 onward from primary sources in seconds so that you can more time on your analysis rather than finding and cleaning weather data. We processed 500+ TB of weather data for quick time-series extraction for location-specific analysis.
Based on our record, fd should be more popular than OikoLab. It has been mentiond 118 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Ripgrep: A super-fast file searcher. You can install it using your system's package manager (e.g., brew install ripgrep on macOS). Fd: Another blazing-fast file finder. Installation instructions can be found here: https://github.com/sharkdp/fd. - Source: dev.to / 2 months ago
Hyperfine is such a great tool that it's one of the first I reach for when doing any sort of benchmarking. I encourage anyone who's tried hyperfine and enjoyed it to also look at sharkdp's other utilities, they're all amazing in their own right with fd[1] being the one that perhaps get the most daily use for me and has totally replaced my use of find(1). [1]: - Source: Hacker News / 4 months ago
You call it with `n` and get an interactive fuzzy search for your directories. If you do `n https://github.com/sharkdp/fd. - Source: Hacker News / 4 months ago
Many (most?) of them have been overhauled with success. For find there is fd[1]. There's batcat, exa (ls), ripgrep, fzf, atuin (history), delta (diff) and many more. Most are both backwards compatible and fresh and friendly. Your hardwon muscle memory still of good use. But there's sane flags and defaults too. It's faster, more colorful (if you wish), better integration with another (e.g. exa/eza or aware of git... - Source: Hacker News / 5 months ago
AFAIK there is a find replacement with sane defaults: https://github.com/sharkdp/fd , a lot of people I know love it. However, I already have this in my muscle memory:. - Source: Hacker News / 8 months ago
I've used https://oikolab.com/ before. Source: over 1 year ago
For specific locations, I run a data service tool (https://oikolab.com) that can help you get the data to do this. Note that the data is from renalayis data and you would need to do some data filtering of your own. Source: over 1 year ago
Certainly - take a look (https://oikolab.com) and let me know your use case. There is a free tier but we've also given free access to a quite a few number of researchers, non-profits and university students for their projects when they reached out to us. - Source: Hacker News / over 1 year ago
Sure - https://oikolab.com. You can try without signing up via an app too https://weatherdownloader.oikolab.com. Source: over 2 years ago
May not be directly related but I run a weather data service (https://oikolab.com / weatherdownloader.oikolab.com) that's probably one of the more comprehensive one out there (hourly global data from 1950 onward). I've been wondering if looking up historical weather data for any location in the world might be of interest to weather enthusiasts and how I might be able to cater to such group? Thanks! Source: over 2 years ago
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