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Top 23 Python Statistic Projects
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Scikit-learn : A Python module for machine learning build on top of SciPy
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Project mention: pandas-profiling VS Rath - a user suggested alternative | libhunt.com/r/pandas-profiling | 2023-01-12
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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Project mention: [P] statsmodels.tsa.holtwinters.ExponentialSmoothing results in NaN forecasts and parameters when fitting on entire dataset using known parameters from training model. | reddit.com/r/MachineLearning | 2022-11-19
I reckon you're more likely to get a good response on their Github page than here. Unless a dev happens to see this post.
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boltons
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
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Project mention: Which preset is best for my use case. Apple eco system, have MKV of my own blurays and DVD | reddit.com/r/handbrake | 2023-02-01
This is what I used to take the screenshot since the plex dashboard lacks the proper information.
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Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Project mention: Use data from tables generated in python console, | reddit.com/r/pythonhelp | 2022-02-14No need to post the help, here is the DiscreteFactor class https://github.com/pgmpy/pgmpy/blob/eb65f40d2b32bf2ad971181333bb9ed7aefde907/pgmpy/factors/discrete/DiscreteFactor.py
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Project mention: [Discussion] Amazon's AutoML vs. open source statistical methods | reddit.com/r/MachineLearning | 2022-12-12
In this reproducible experiment, we compare Amazon Forecast and StatsForecast a python open-source library for statistical methods.
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Project mention: [P] PyCM 3.7 released: ROC curve and Precision-Recall curve are added | reddit.com/r/MachineLearning | 2022-12-16
The complete change log of this version is available here.
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uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
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maloja is a self-hosted alternative to last.fm
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Project mention: Some data exports to xlsx, other data does not | reddit.com/r/learnpython | 2022-11-18
Unfortunately I don't think you're doing anything wrong, I think the sportsipy package is just a wee bit broken. There's a bunch of related (ongoing) issues on the repo about Boxscore failing to pull data from sports-reference.
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This script runs some others to call pypinfo:
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Contributions-Importer-For-Github
This tool helps users to import contributions to GitHub from private git repositories, or from public repositories that are not hosted in GitHub.
Project mention: My GitHub profile doesn't show commits to my job's private repo | reddit.com/r/webdev | 2022-09-10You can use Contributions-Importer-For-Github to import anonymized commit contribution from repos not associated with your account.
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hierarchicalforecast
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Project mention: Show HN: Probabilistic hierarchical forecasting with statistical methods | news.ycombinator.com | 2022-11-17 -
Project mention: Examples of PyTorch usages NOT pertaining to Deep Learning? | reddit.com/r/pytorch | 2022-04-29
pyhf
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SaaSHub
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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).
The latest post mention was on 2023-02-01.
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A note from our sponsor - #<SponsorshipServiceOld:0x00007fea5917d090>
www.saashub.com | 1 Feb 2023
Index
What are some of the best open-source Statistic projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | scikit-learn | 52,699 |
| 2 | pandas-profiling | 10,067 |
| 3 | statsmodels | 8,135 |
| 4 | boltons | 6,042 |
| 5 | Tautulli | 4,719 |
| 6 | eiten | 2,461 |
| 7 | sweetviz | 2,305 |
| 8 | pgmpy | 2,264 |
| 9 | statsforecast | 2,194 |
| 10 | github-stats | 2,052 |
| 11 | pycm | 1,347 |
| 12 | lifetimes | 1,345 |
| 13 | uncertainty-baselines | 1,155 |
| 14 | maloja | 555 |
| 15 | popmon | 412 |
| 16 | sportsipy | 396 |
| 17 | pypinfo | 353 |
| 18 | Contributions-Importer-For-Github | 274 |
| 19 | fitter | 266 |
| 20 | hierarchicalforecast | 251 |
| 21 | pyhf | 234 |
| 22 | choochoo | 223 |
| 23 | meteostat-python | 213 |
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