# pandas python vs python xlrd Comparison

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## Frequently Asked Questions

### What is the difference between python xlrd vs pandas python?

Pandas python stands out from python xlrd with a higher G2 rating, broader data manipulation capabilities, and stronger reviewer-cited strengths in data management and ease of use.

| [python xlrd](https://www.g2.com/products/python-xlrd/reviews) | [pandas python](https://www.g2.com/products/pandas-python/reviews) |
| --- | --- |
| 4.1/5 (21 reviews) | 4.6/5 (100 reviews) |
| Mid-Market | Enterprise |
| — | 8.8 |
| 7.9 | 8.3 |
| Reading legacy Excel files | Data management and ease of use (2 all-time mentions each) |



### How do the pricing models of python xlrd and pandas python compare?

Pandas python is rated higher for value, as reflected in its superior satisfaction scores on price and cost-related dimensions.

- **python xlrd:** In recent reviews, value is not a prominent theme, and reviewers note it is mainly used for reading legacy Excel files.
- **pandas python:** Reviewers highlight its versatility and efficiency for data manipulation, with many citing time-saving and coding efficiency as key benefits.



### What are the best alternatives to python xlrd and pandas python?

The top 3 alternatives to python xlrd and pandas python are Essential Studio, Flutter, and Progress Kendo UI.

| Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- | --- |
| [python xlrd](https://www.g2.com/products/python-xlrd/reviews) | 4.1/5 (21) | Mid-Market | — | Reading legacy Excel files |
| [pandas python](https://www.g2.com/products/pandas-python/reviews) | 4.6/5 (100) | Enterprise | — | Data management and ease of use (2 all-time mentions each) |
| [Essential Studio](https://www.g2.com/products/essential-studio/reviews) | 4.5/5 (801) | Small-Business | — | — |
| [Flutter](https://www.g2.com/products/flutter/reviews) | 4.6/5 (72) | Small-Business | — | — |
| [Progress Kendo UI](https://www.g2.com/products/progress-kendo-ui/reviews) | 4.4/5 (257) | Enterprise | — | — |



### Which Component Libraries features should I prioritize when comparing python xlrd and pandas python?

Buyers should prioritize data management, ease of use, integrations, and support quality when comparing python xlrd and pandas python.

- **Data management:** pandas python is cited for data management in 2 all-time mentions; python xlrd is noted for reading legacy Excel files.
- **Ease of use:** pandas python has 2 all-time mentions for ease of use and an 8.5 Ease of Use score; python xlrd scores 8.4.
- **Integrations:** pandas python is mentioned for integrations in 2 all-time reviews and has 54 all-time integration mentions with Python; python xlrd has no recent integration mentions.
- **Support quality:** pandas python scores 8.3 for Quality of Support; python xlrd scores 7.9.



### What are the pros and cons of python xlrd vs pandas python?

Pandas python's headline strength is its robust data management and ease of use, while python xlrd is valued for reading legacy Excel files.

- **python xlrd strengths:** Reading legacy Excel files, helpful for extracting and manipulating data from older spreadsheets.
- **python xlrd trade-offs:** Limited to reading (not writing) Excel files, lacks advanced features, and reviewers note less support and more competition from other libraries.
- **pandas python strengths:** Data management (2 all-time mentions), ease of use (2 all-time mentions), easy integrations (2 all-time mentions), coding efficiency, feature-rich, and time-saving.
- **pandas python trade-offs:** Performance issues (2 all-time mentions) with very large datasets, complex installation, and a steeper learning curve for beginners.



### Is python xlrd or pandas python better for small businesses?

Pandas python is a better fit for small businesses, as it is highly rated for ease of use and data management, and is widely adopted across segments.

- **python xlrd:** Largest segment is Mid-Market; reviewers highlight its utility for reading legacy Excel files but note limited features.
- **pandas python:** Largest segment is Enterprise, but recent reviews from small-business users praise its versatility, ease of use, and efficiency for data manipulation.



### Which Component Libraries platform has better integrations?

Pandas python is favored for integrations, with reviewers citing frequent and broad integration with Python and related tools.

- **python xlrd:** No recent reviewer-cited integrations.
- **pandas python:** Python integration is mentioned in 54 all-time reviews, with additional recent mentions of integration with NumPy, Matplotlib, and scikit-learn.



### How do python xlrd and pandas python compare on customer support?

Pandas python and python xlrd are rated within 0.4 points on Quality of Support, indicating near parity, with pandas python slightly ahead at 8.3 versus 7.9.

- **python xlrd:** Reviewers note that support is limited due to its open-source nature, but the user community is described as proactive and helpful.
- **pandas python:** Reviewers describe support as strong, with extensive documentation and a large, active community, though some mention a learning curve and occasional documentation gaps.



### Which is easier to implement, python xlrd or pandas python?

Pandas python and python xlrd are rated within 0.2 points on Ease of Setup, indicating parity in implementation experience.

- **python xlrd:** Reviewers describe setup as straightforward but note occasional installation challenges and the need for additional modules.
- **pandas python:** Reviewers highlight easy installation and setup, with some mentioning a learning curve for advanced features but generally positive implementation experiences.



| | pandas python | python xlrd | 
|---|---|---|
| **Star Rating** | 4.6 out of 5 | 4.1 out of 5 | 
| **Total Reviews** | 99 | 20 | 
| **Largest Market Segment** | Enterprise (39.4% of reviews) | Mid-Market (52.6% of reviews) | 
| **Entry Level Price** | No pricing available | No pricing available | 

---
## Top Pros & Cons

### pandas python

Pros:
- Data Management (2 reviews)
- Ease of Use (2 reviews)

Cons:
- Performance Issues (2 reviews)
- Complex Installation (1 reviews)

### python xlrd

**Not enough data**

---
## Ratings Comparison
| Rating | pandas python | python xlrd | 
|---|---|---|
  | **Meets Requirements** | 9.1 (79 reviews) | 8.0 (16 reviews) | 
  | **Ease of Use** | 8.5 (79 reviews) | 8.4 (16 reviews) | 
  | **Ease of Setup** | 8.9 (20 reviews) | Not enough data | 
  | **Ease of Admin** | 8.2 (14 reviews) | Not enough data | 
  | **Quality of Support** | 8.3 (71 reviews) | 7.9 (15 reviews) | 
  | **Has the product been a good partner in doing business?** | 7.7 (13 reviews) | Not enough data | 
  | **Product Direction (% positive)** | 8.8 (78 reviews) | 7.1 (16 reviews) | 

---
## Pricing

### pandas python

#### Entry-Level Pricing

No pricing available

#### Free Trial

No information available

### python xlrd

#### Entry-Level Pricing

No pricing available

#### Free Trial

No information available

---
## Features Comparison By Category

### Component Libraries

| Product | Score | Reviews |
|---|---|---|
| **pandas python** | 8.4/10 | 48 |
| **python xlrd** | N/A | N/A |

#### Functionality

| Feature | pandas python | python xlrd | 
|---|---|---|
| **Language Contingency** | 8.3 (38 reviews) | Not enough data | 
| **Component Library** | 8.7 (42 reviews) | Not enough data | 
| **Unlocked Components** | 8.2 (35 reviews) | Not enough data | 

#### Management

| Feature | pandas python | python xlrd | 
|---|---|---|
| **Framework Integration** | 8.4 (38 reviews) | Not enough data | 
| **Repository Management** | 8.5 (34 reviews) | Not enough data | 
| **Support** | 8.0 (33 reviews) | Not enough data | 

---
## Categories
**Shared Categories (1):** [Component Libraries Software](https://www.g2.com/categories/component-libraries)




---
## Reviewer Demographics

### By Company Size

| Segment | pandas python | python xlrd | 
|---|---|---|
| **Small-Business** | 28.7% | 21.1% | 
| **Mid-Market** | 31.9% | 52.6% | 
| **Enterprise** | 39.4% | 26.3% | 

### By Industry

#### pandas python

- **Computer Software:** 19.1%
- **Information Technology and Services:** 12.8%
- **Telecommunications:** 7.4%
- **Internet:** 7.4%
- **Higher Education:** 6.4%
- **Banking:** 4.3%
- **Hospital & Health Care:** 4.3%
- **Financial Services:** 3.2%
- **Computer & Network Security:** 3.2%
- **E-Learning:** 3.2%
- **Other:** 28.7%

#### python xlrd

- **Computer Software:** 47.4%
- **Internet:** 10.5%
- **Information Technology and Services:** 10.5%
- **Education Management:** 10.5%
- **Oil & Energy:** 5.3%
- **Management Consulting:** 5.3%
- **Entertainment:** 5.3%
- **Accounting:** 5.3%

---
## Alternatives

### Alternatives to pandas python

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### Alternatives to python xlrd

- [Essential Studio](https://www.g2.com/products/essential-studio/reviews) — 4.5/5 stars (833 reviews)
- [Progress Kendo UI](https://www.g2.com/products/progress-kendo-ui/reviews) — 4.4/5 stars (257 reviews)
- [Progress Telerik](https://www.g2.com/products/progress-telerik/reviews) — 4.5/5 stars (218 reviews)
- [Ionic: An OutSystems Company](https://www.g2.com/products/ionic-an-outsystems-company/reviews) — 4.4/5 stars (154 reviews)
- [DevExpress](https://www.g2.com/products/devexpress/reviews) — 4.8/5 stars (116 reviews)
- [Selenium WebDriver](https://www.g2.com/products/selenium-webdriver/reviews) — 4.5/5 stars (101 reviews)
- [Flutter](https://www.g2.com/products/flutter/reviews) — 4.6/5 stars (72 reviews)
- [Appsmith](https://www.g2.com/products/appsmith/reviews) — 4.6/5 stars (67 reviews)
- [IronPDF](https://www.g2.com/products/ironpdf/reviews) — 4.9/5 stars (65 reviews)
- [Qt](https://www.g2.com/products/qt/reviews) — 4.3/5 stars (54 reviews)

---
## Top Discussions

### pandas python

- Title: [What is your experience with pandas for data analysis, and what features do you find most useful?](https://www.g2.com/discussions/what-is-your-experience-with-pandas-for-data-analysis-and-what-features-do-you-find-most-useful) — 1 comment, 1 upvote
  > **Top comment:** "My experience with pandas for data analysis has been very positive and productive. I find pandas to be an incredibly powerful and flexible library that..."
- Title: [What is pandas python used for?](https://www.g2.com/discussions/what-is-pandas-python-used-for) — 1 comment
  > **Top comment:** "Pandas in Python is primarily used for data manipulation and analysis. It provides powerful data structures like DataFrames and Series that make it easy to..."

### python xlrd

No discussions available for this product.

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**Source:** [G2.com](https://www.g2.com) | [Comparison Page](https://www.g2.com/compare/pandas-python-vs-python-xlrd)