carbon-intensity-forecast-tracki
Geo-IP-Database
| carbon-intensity-forecast-tracki | Geo-IP-Database | |
|---|---|---|
| 1 | 1 | |
| - | 8 | |
| - | - | |
| - | 8.4 | |
| - | 6 days ago | |
| - | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
carbon-intensity-forecast-tracki
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Git scraping: track changes over time by scraping to a Git repository
I've been doing this to track the UK's "carbon intensity" forecast and compare it with what is actually measured. Now have several months' data about the quality of the model and forecast published here: https://carbonintensity.org.uk/ . Thanks for the inspiration!
https://github.com/nmpowell/carbon-intensity-forecast-tracki...
Geo-IP-Database
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Git scraping: track changes over time by scraping to a Git repository
I have a couple of similar scrapers as well. One is a private repo that I collect visa information off Wikipedia (for Visalogy.com), and GeoIP information from MaxMind database (used with their permission).
https://github.com/Ayesh/Geo-IP-Database/
It downloads the repo, and dumps the data split by the first 8 bytes of the IP address, and saves to individual JSON files. For every new scraper run, it creates a new tag and pushes it as a package, so the dependents can simply update them with their dependency manager.
What are some alternatives?
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mastodon-scraping - Repository for scraping public information from Mastodon
hun_law_py - Tools for parsing hungarian legal documents
carbon-intensity-forecast-tracking - The reliability of the National Grid's Carbon Intensity forecast