Spaces:
Sleeping
Sleeping
| title: Spaces Ship | |
| emoji: 🚀 | |
| colorFrom: red | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 4.42.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| short_description: See detailed information about all Spaces across the Hub. | |
| # Spaces Ship | |
| This is a spaceship through Spaces. | |
| I started this mostly as a way to see more Spaces that I was interested in. Since there aren't any search/filtering options outside of full-text search and searching for Space titles, I wanted more ways to look around and get inspired. | |
| It expanded as I saw what information you can get from leveraging the APIs in the `huggingface_hub` client. | |
| Short-term, I'm running a lot of this locally, but long-term my goal is to run [this script](https://github.com/jsulz/hf-spaces-stats-builder/blob/main/src/pipeline.py) every 2 weeks, which: | |
| - Calls `list_spaces` to get all spaces and some high level metadata | |
| - Calls `space_info` to get the next level of depth from each space | |
| - Stores this into a Dataset on the Hub - [jsulz/space-stats](https://huggingface.co/datasets/jsulz/space-stats) | |
| - Inspiration from this came from [cfahlgren1/hub-stats](cfahlgren1/hub-stats), but desiring one level of additional information (only available by making a lot of API calls) | |
| I want this to be on a semi-regular cadence, but also respect that this takes in the realm of 12-15 hours (with some potential speedup from parallel ) | |
| This Space consumes that dataset into a Gradio app that has two tabs: | |
| - Spaces Overview | |
| - Spaces Search | |
| The remaining content from here on out is a breakdown of what's in the Space, both tabs, and my feelings/thoughts about them after doing some digging. | |
| # General | |
| All of this needs context needs to live in the app in some form alongside the component. Avoiding that for the moment. | |
| All of the labels and words that do exist need cleanup. Not worried about that for the moment. | |
| # Spaces Overview | |
| Charts exist for the following (commentary for each in sub-bullets): | |
| - Growth of Spaces over Time | |
| - This is a line chart that shows the number of spaces created over time. Shows all Spaces, regardless of status. | |
| - Distribution of Spaces by SDK | |
| - This is a pie chart that shows the distribution of Spaces by SDK. Can be either gradio, streamlit, docker, or static. | |
| - Distribution of Spaces by Emoji | |
| - This is a pie chart that shows the distribution of Spaces by Emoji. This is a bit silly, but could be fun to work on this more to make it visually funny/appealing. | |
| - Relationship between Number of Spaces Created and Number of Likes | |
| - This is a scatter plot that shows the relationship between the number of spaces created by an author and the number of likes. Not very interesting except for the outliers. | |
| - Relationship between Space Emoji and Number of Likes | |
| - This is a scatter plot that shows the relationship between the emoji used in a space and the number of likes. Similar take as with the other scatter plot. | |
| - Hardware in Use | |
| - This is a log scale bar chart of hardware in use. More interesting stuff here. | |
| - Most Popular Model Authors | |
| - Bar chart of most popular model authors whose models are used in Spaces. | |
| - Most Used Models | |
| - Bar chart of most popular models used in Spaces. | |
| - Most Popular Dataset Authors | |
| - Bar chart of most popular dataset authors whose models are used in Spaces. | |
| - Most Used Datasets | |
| - Bar chart of most popular datasets used in Spaces. | |
| - Number of Duplicates by Space | |
| - Table showing the most duplicated Spaces. | |
| - Number of Likes by Space | |
| - Table showing the most liked Spaces. | |
| - Number of Spaces by Author | |
| - Table showing the most prolific Spaces authors. | |
| - Number of Likes by Author | |
| - Table showing the authors with the most cumulative likes across all Spaces. | |
| # Spaces Search | |
| Filtration Options exist for the following (commentary for each in sub-bullets) | |
| - Emojis | |
| - Fun, not very useful. | |
| - Likes | |
| - Easy and helpful to see popular stuff. | |
| - Authors | |
| - Kinda fun, but so many authors with so little context. | |
| - SDK/Tags | |
| - Too many tags - lots of one-offs. Would maybe limit this to the top 10ish. | |
| - Hardware | |
| - More useful than I thought it would be. | |
| - License | |
| - Meh. | |
| - Models | |
| - Very cool, but lots of one-offs and not highly used. Would maybe limit this to the top 10ish. | |
| - Datasets | |
| - Same as models. | |
| - Dev Mode | |
| - The interesting thing about this is how little it's used. | |