Software Alternatives & Reviews

python docx VS statsmodels

Compare python docx VS statsmodels and see what are their differences

python docx logo python docx

Create and modify Word documents with Python. Contribute to python-openxml/python-docx development by creating an account on GitHub.

statsmodels logo statsmodels

Statsmodels: statistical modeling and econometrics in Python - statsmodels/statsmodels
  • python docx Landing page
    Landing page //
    2023-08-18
  • statsmodels Landing page
    Landing page //
    2023-08-18

python docx videos

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statsmodels videos

Linear Regressions with StatsModels

More videos:

  • Review - Code review - Z Test using statsmodels
  • Review - Code Review: Analyse Training VAR statsmodels with a real world dataset

Category Popularity

0-100% (relative to python docx and statsmodels)
Data Science And Machine Learning
Development Tools
69 69%
31% 31
Python Tools
100 100%
0% 0
Game Development
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, statsmodels should be more popular than python docx. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

python docx mentions (2)

  • What Would Go in Your Dream Documentation Solution?
    So, what I'd like to do is write a documentation package in Python to recreate what I've lost. I plan to build upon the fantastic python-docx and docxtpl packages, and I'll probably rely on pandas from much of the tabular stuff. Here are the features I intend to include:. Source: 5 months ago
  • See unknow person with a problem in Stackoverflow: writes a library for her
    Here's the project: https://github.com/python-openxml/python-docx. Source: about 1 year ago

statsmodels mentions (4)

  • [P] statsmodels.tsa.holtwinters.ExponentialSmoothing results in NaN forecasts and parameters when fitting on entire dataset using known parameters from training model.
    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. Source: over 1 year ago
  • How do you usually build your models?
    Since you are using python, pandas, scikit-learn, scipy, and statsmodels are what you are looking for. Source: over 1 year ago
  • Can we solve serverless cold starts?
    In case you're really worried about cold start latency and your application load shows high variance in the number of concurrent requests, you might want to get a bit fancier. You could use time-series forecasting to anticipate how many containers should be warmed at each point in time. StatsModels is an open-source project that offers the most common algorithms for working with time-series. Here's a good... - Source: dev.to / almost 3 years ago
  • Advice required to choose appropriate software for an assignment
    Can't you get a student discount for Stata? R would definitely be able to handle everything. For Python, have a look through the statsmodel package https://github.com/statsmodels/statsmodels. Source: about 3 years ago

What are some alternatives?

When comparing python docx and statsmodels, you can also consider the following products

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bokeh python - This Python tutorial will get you up and running with Bokeh, using examples and a real-world dataset. You'll learn how to visualize your data, customize and organize your visualizations, and add interactivity.

Mahotas - Mahotas is a computer vision and image processing library for Python.