tinderstats
Display statistics for Tinder usage from downloaded data (by mibeh)
dcor
Distance correlation and related E-statistics in Python (by vnmabus)
| tinderstats | dcor | |
|---|---|---|
| 1 | 1 | |
| 3 | 134 | |
| - | - | |
| 0.0 | 7.0 | |
| about 4 years ago | 9 days ago | |
| Python | Python | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
tinderstats
Posts with mentions or reviews of tinderstats.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Tinder Match Statistics and Profile for Reference
I just requested my Tinder data and computed statistics for swipe right/left and match percentage using some code I found on github at https://github.com/mibeh/tinderstats.Spoiler alert, the results are not encouraging, to say the least. Conclusion: tinder is terrible.
dcor
Posts with mentions or reviews of dcor.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-07.
-
Highly used R packages with no Python equivalent
BreakoutDetection. I actually started doing something like this, and contributed a few things to the dcor library that could be used for the underlying e-statistics, but I never got around to implementing the whole thing.
What are some alternatives?
When comparing tinderstats and dcor you can also consider the following projects:
github-stats - Better GitHub statistics images for your profile, with stats from private repos too
python-binance - Binance Exchange API python implementation for automated trading
Tinder - Official November 2019 Documentation for Tinder's API (wrapper included)
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
PyStats - A Simple script to give a graphical representation of python file stats on one or many files.
BreakoutDetection - Breakout Detection via Robust E-Statistics
aps2020 - Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics