apple-appstore-apps
dump
apple-appstore-apps | dump | |
---|---|---|
2 | 2 | |
19 | 14 | |
- | - | |
0.0 | 1.2 | |
over 3 years ago | almost 4 years ago | |
GNU General Public License v3.0 or later | GNU Affero General Public License v3.0 |
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.
apple-appstore-apps
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Apple AppStore Apps Dataset with 1.2 million apps
Or download from back up repo: https://github.com/gauthamp10/apple-appstore-apps.
dump
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Is there a way to access their database?
```shell eric@TSDDESKTOP-WIN10:~$ sudo apt install git-lfs Reading package lists... Done Building dependency tree Reading state information... Done git-lfs is already the newest version (2.9.2-1). 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. eric@TSDDESKTOP-WIN10:~$ git clone https://github.com/treflehq/dump.git Cloning into 'dump'... remote: Enumerating objects: 49, done. remote: Counting objects: 100% (49/49), done. remote: Compressing objects: 100% (38/38), done. remote: Total 49 (delta 12), reused 44 (delta 10), pack-reused 0 Unpacking objects: 100% (49/49), 23.81 KiB | 812.00 KiB/s, done. Downloading species.csv (178 MB) Error downloading object: species.csv (e3ed539): Smudge error: Error downloading species.csv (e3ed539986a5bbd8b47984db5efb99b4a91b085de8a1e1628df00ace4a8e65e6): batch response: This repository is over its data quota. Account responsible for LFS bandwidth should purchase more data packs to restore access.
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Bot to convert common names of plants or animals to taxonomic (Latin) names, and link the Wikipedia page for the genus and species.
There's a dump of data here: https://github.com/treflehq/dump
What are some alternatives?
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LG-HG2 - Formula Student Battery Testing Consortium Open-Source Data