STATS-PAL
python-benchmark-harness
| STATS-PAL | python-benchmark-harness | |
|---|---|---|
| 7 | 29 | |
| 23 | 153 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | over 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
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.
STATS-PAL
- What is a probability distribution? And how can I best measure the distance between 2 CDFs?
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[Question] Which statistical test would be best for my data/use case
scatter plot: https://github.com/JoeyHendricks/StatisticalTesting/blob/master/images/real-world-raw-performance-test-data-scatter-plot.jpg
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I have trouble understanding P values
An example of my data in scatterplot can be found here and the raw data can be found here.
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[Question] I am tinkering with statistical tests and need some help finding the right one
If you want to view a couple of my tests you can find an image I rendered with Tableau here (raw data scatter plot) and you can find a CSV file that contains the raw data here (CSV).
- [Question] What did I just do?
python-benchmark-harness
- Sprucing up my read me for my Python project
- Sunday Daily Thread: What's everyone working on this week?
- My Python micro benchmarking framework.
- renaming my Python micro-benchmarking project
- My Python micro-benchmarking project
- How do I achieve true concurrency in Python?
- How do you know if your open-source library is doing well?
- Any tips for my project and how can I exactly measure the succes of a small open-source project?
- Sponsoring open source projects, share about your project
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Testing CLI created with Python Click
Oh my! https://github.com/JoeyHendricks/QuickPotato/blob/295d8150eca588e8816c3c5168177cb07a286a57/examples/example_code.py#L18
What are some alternatives?
spectacles - A continuous integration tool for Looker and LookML.
palanteer - Visual Python and C++ nanosecond profiler, logger, tests enabler
behavex - BDD test wrapper on top of Behave for parallel test executions and more!
pytest-austin - Python Performance Testing with Austin
image-actions - A Github Action that automatically compresses JPEGs, PNGs and WebPs in Pull Requests.
JEval - ⚡ JEval helps you to evaluate your JMeter test plan and provides recommendation before you start your performance testing. All contributions welcome 🙏.
react-native-vision-camera - 📸 The Camera library that sees the vision. [Moved to: https://github.com/mrousavy/react-native-vision-camera]
react-native-reanimated - React Native's Animated library reimplemented
fastero - Python timeit CLI for the 21st century! colored output, multi-line input with syntax highlighting and autocompletion and much more!
VulnerableApp - OWASP VulnerableApp Project: For Security Enthusiasts by Security Enthusiasts.
pysipp - SIPp for Humans - launch multiple agents with Python
pywinauto - Windows GUI Automation with Python (based on text properties)