lasha-tokyo-2020
A single-page web application that acts as a dashboard displaying the results from the Tokyo 2020 Olympic Games in the Weightlifting. (by shivan-s)
statlift
Free Analytics for Strong Data. (by jjaju)
lasha-tokyo-2020 | statlift | |
---|---|---|
1 | 1 | |
0 | 9 | |
- | - | |
0.0 | 5.2 | |
over 1 year ago | 11 months ago | |
Jupyter Notebook | Python | |
MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.
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.
lasha-tokyo-2020
Posts with mentions or reviews of lasha-tokyo-2020.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Lasha's performance... and everyone else's
PS: For anyone interested in how this was made here is the code (https://github.com/ShivanS93/How-good-is-Lasha/tree/main). Also, this link (https://github.com/ShivanS93/How-good-is-Lasha/blob/main/main.ipynb) contains all the rationale behind the decisions I made (i.e. why I didn't use sinclair). Also, apologise if someone has posted something similar to this. And happy for any feedback but be nice!
statlift
Posts with mentions or reviews of statlift.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Another Option for Analytics & Charts on Exported Data
The app is hosted on the Streamlit Community Cloud. But you can find the source code on GitHub, along with instructions on how to run it locally.