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Top 4 Python hypothesis-testing Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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pycopent
Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python hypothesis-testing related posts
- [P] deep-significance: Enabling easy statistical significance testing for deep neural networks
- [D] Statistical Significance in Deep RL Papers: What is going on?
- deep-significance: Easy and Better Significance Testing for Deep Neural Networks
- [P] deep-significance: Easy and Better Significance Testing for Deep Neural Networks
- [Project] deep-significance: Easy and Better Significance Testing for Deep Neural Networks (link below)
- [P] deep-significance: Easy and Better Significance Testing for Deep Neural Networks (link below)
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Index
What are some of the best open-source hypothesis-testing projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | statsmodels | 9,534 |
2 | pandera | 2,994 |
3 | deep-significance | 315 |
4 | pycopent | 132 |
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