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python xlrd VS statsmodels

Compare python xlrd VS statsmodels and see what are their differences

python xlrd

Please use openpyxl where you can... Contribute to python-excel/xlrd development by creating an account on GitHub.

Rating
0 reviews
Alternatives Is it good?
statsmodels

Statsmodels: statistical modeling and econometrics in Python - statsmodels/statsmodels

Rating
0 reviews
Alternatives Is it good?
LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. sponsored

Which is more popular?

Based on our record, statsmodels should be more popular than python xlrd. It has been mentioned 4 times since March 2021.

social mentions
2 vs 4
Application Builder popularity
67% vs 33%
alternatives listed
12 vs 12

Base details

Website, pricing, platforms and company facts side by side.

python xlrd
statsmodels
Website github.com github.com
Listed in
Development Tools Application Builder Game Development Data Science And Machine Learning +1
Development Tools Application Builder Developer Tools Data Science And Machine Learning +1

Features and specs

What each product offers, as listed by its team.

python xlrd 3 features
statsmodels 0 features
  • Simplicity
    xlrd provides a straightforward and easy-to-use API for reading Excel files, making it accessible for beginners and quick implementations.
  • Widely Used
    xlrd has been a popular choice for handling Excel files in Python, which means there is a lot of available documentation and community support.
  • Efficient Reading
    It is optimized for reading data from Excel files without loading entire data into memory, which is beneficial for handling large files.

Possible disadvantages

  • No Write Support
    xlrd is designed solely for reading, and it does not support writing or modifying Excel files.
  • Limited to Older Excel Formats
    With version 2.0 and above, xlrd only supports the older .xls Excel file format and does not support .xlsx files.
  • Deprecated Features
    Due to changes in dependencies and updates to Excel formats, some features in xlrd have become deprecated or removed, which can limit its functionality.

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

python xlrd
statsmodels

No analysis of python xlrd yet.

Overall verdict

  • statsmodels is a robust, well-established open-source Python library for statistical modeling, offering rigorous implementations of a wide range of statistical methods with strong documentation and academic credibility.

Why this product is good

  • Comprehensive coverage of statistical models including linear regression, generalized linear models, time series analysis (ARIMA, VAR), and mixed effects models
  • Provides detailed statistical output such as p-values, confidence intervals, and diagnostic tests, which is often lacking in machine-learning-focused libraries
  • Well-integrated with the broader scientific Python ecosystem including NumPy, SciPy, and pandas
  • Open-source with an active community, thorough documentation, and extensive examples
  • Emphasizes statistical rigor and inference rather than just prediction, making results interpretable and defensible

Recommended for

  • Statisticians and data scientists who need detailed statistical inference and hypothesis testing
  • Researchers and academics performing econometric or time series analysis
  • Analysts who require interpretable model outputs like coefficients, p-values, and confidence intervals
  • Python users who want R-like statistical modeling capabilities
  • Educational settings teaching applied statistics and econometrics

Videos

Walkthroughs and reviews on video.

python xlrd 0 videos + Add
statsmodels 3 videos + Add

No python xlrd videos yet. You could help us improve this page by suggesting one.

Linear Regressions with StatsModels

More videos

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

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
python xlrd
statsmodels
67% 67%
Application Builder
33% 33%
67% 67%
Development Tools
33% 33%
67% 67%
Data Science And Machine Learning
33% 33%
100% 100%
Game Development
0% 0%

User comments

Share your experience with using python xlrd and statsmodels. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

python xlrd 2 mentions
statsmodels 4 mentions
  • I need to read multiple excel files, extract a column from each and compose a new file
    So to get this out of the way first, xlrd has less features than openpyxl and in addition only works with the old '.xls' format, not the newer '.xlsx' format. Even on the xlrd's Github repo it says: 'Please use openpyxl where you can... '. Source: over 4 years ago
  • Sending Bulk SMS using Africas Talking, Python and Excel
    There are few alternative libraries for reading and writing excel files: Pandas, Xlrd , openpyxl among others. In the end I settled for openpyxl as I had the most experience Using it and it had support for .xlsx files. - Source: dev.to / over 5 years ago
  • [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: almost 4 years 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: about 4 years 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... - Source: dev.to / about 5 years ago

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Alternatives to python xlrd and statsmodels

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

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