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Compare pandas python and python pillow 
At a Glance
Market Segments
Enterprise (37.8% of reviews)
Small-Business (52.9% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
pandas python
Star Rating
(95)4.6 out of 5
Market Segments
Enterprise (37.8% of reviews)
Entry-Level Pricing
No pricing available
Learn more about pandas pythonpython pillow
Star Rating
(18)4.3 out of 5
Market Segments
Small-Business (52.9% of reviews)
Entry-Level Pricing
No pricing available
Learn more about python pillowSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that pandas python excels in data manipulation and analysis, particularly with its DataFrame structure, which allows for efficient handling of large datasets. In contrast, python pillow is primarily focused on image processing, making it less suitable for complex data tasks.
- Reviewers mention that the pandas python library has a steeper learning curve due to its extensive functionality, but once mastered, it offers powerful tools for data analysis. On the other hand, users say that python pillow is more user-friendly for beginners, especially for those looking to perform basic image editing tasks.
- G2 users highlight that pandas python has a robust community and extensive documentation, which aids in troubleshooting and learning. Conversely, users on G2 report that while python pillow has decent documentation, it lacks the same level of community support, which can be a drawback for new users.
- Reviewers mention that pandas python offers advanced features like groupby and pivot_table, which are essential for complex data analysis. In contrast, users say that python pillow shines with its image enhancement features, such as ImageFilter and ImageEnhance, which are highly praised for their effectiveness.
- Users report that pandas python integrates well with other data science libraries like NumPy and Matplotlib, making it a preferred choice for data scientists. Meanwhile, reviewers mention that python pillow integrates seamlessly with web frameworks like Django, which is beneficial for web developers working with images.
- G2 users indicate that the performance of pandas python is generally superior when handling large datasets, while users on G2 report that python pillow performs well for image processing tasks but may struggle with larger images or batch processing compared to dedicated image processing software.
Pricing
Entry-Level Pricing
pandas python
No pricing availablepython pillow
No pricing availableFree Trial
pandas python
No trial information availablepython pillow
No trial information availableRatings
Meets Requirements
9.0
75
9.1
13
Ease of Use
8.5
75
8.2
13
Ease of Setup
9.0
16
Not enough data
Ease of Admin
8.2
14
Not enough data
Quality of Support
8.2
67
8.8
8
Has the product been a good partner in doing business?
7.7
13
Not enough data
Product Direction (% positive)
8.8
75
8.2
13
Features by Category
Functionality
8.2
37
Not enough data
8.5
39
Not enough data
8.1
34
Not enough data
Management
8.3
35
Not enough data
8.4
33
Not enough data
7.9
32
Not enough data
Categories
Categories
Shared Categories
pandas python and python pillow are categorized as Component Libraries
Unique Categories
pandas python has no unique categories
python pillow has no unique categories
Reviews
Reviewers' Company Size
pandas python
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
python pillow
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
18.9%
Information Technology and Services
13.3%
Telecommunications
7.8%
Internet
7.8%
Higher Education
5.6%
Other
46.7%
Computer Software
23.5%
Education Management
17.6%
Information Technology and Services
11.8%
Philanthropy
5.9%
Insurance
5.9%
Other
35.3%
Alternatives
Discussions
What is your experience with pandas for data analysis, and what features do you find most useful?
1 Comment
LM
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...Read more
What is pandas python used for?
1 Comment
LM
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...Read more
pandas python has no more discussions with answers
python pillow has no discussions with answers
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