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Compare Angular Material and pandas python 
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At a Glance
Market Segments
Small-Business (37.5% of reviews)
Enterprise (37.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Angular Material
Star Rating
(52)4.4 out of 5
Market Segments
Small-Business (37.5% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Angular Materialpandas python
Star Rating
(96)4.6 out of 5
Market Segments
Enterprise (37.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about pandas pythonSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that while both "pandas python" and "Angular Material" have strong component libraries, "Angular Material" shines with its extensive set of pre-built UI components, making it easier for developers to create responsive designs quickly. Reviewers mention that the Material Design components are visually appealing and consistent.
- Reviewers say that "pandas python" excels in data manipulation and analysis, with features like DataFrames and powerful aggregation functions. Users on G2 highlight that its ability to handle large datasets efficiently is a significant advantage for data scientists.
- G2 users mention that "Angular Material" offers better ease of use for front-end developers, with a rating of 8.7 compared to "pandas python" at 8.5. Users report that the intuitive API and comprehensive documentation make it easier to get started with Angular Material.
- Users say that "pandas python" has a slight edge in terms of framework integration, with a score of 8.2, as it seamlessly integrates with various data science libraries like NumPy and Matplotlib. Reviewers mention that this integration is crucial for data analysis workflows.
- Reviewers mention that "Angular Material" has a higher quality of support, scoring 8.4 compared to "pandas python" at 8.2. Users report that the community support and resources available for Angular Material are more extensive, which can be beneficial for troubleshooting and learning.
- Users on G2 report that "pandas python" has a more favorable product direction, with a score of 8.7, indicating that users feel confident in its ongoing development and feature enhancements, particularly in the realm of data analysis capabilities.
Pricing
Entry-Level Pricing
Angular Material
No pricing availablepandas python
No pricing availableFree Trial
Angular Material
No trial information availablepandas python
No trial information availableRatings
Meets Requirements
8.7
39
9.0
75
Ease of Use
8.7
40
8.5
75
Ease of Setup
8.8
17
9.0
16
Ease of Admin
7.9
16
8.2
14
Quality of Support
8.5
37
8.2
67
Has the product been a good partner in doing business?
8.4
16
7.7
13
Product Direction (% positive)
9.7
38
8.8
75
Features by Category
Functionality
8.4
31
8.2
37
8.8
33
8.5
39
8.2
31
8.1
34
Management
8.6
32
8.3
35
8.6
29
8.4
33
8.5
24
7.9
32
Categories
Categories
Shared Categories
Angular Material and pandas python are categorized as Component Libraries
Unique Categories
Angular Material has no unique categories
pandas python has no unique categories
Reviews
Reviewers' Company Size
Angular Material
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
pandas python
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
37.5%
Information Technology and Services
27.1%
Program Development
4.2%
Financial Services
4.2%
Consumer Services
4.2%
Other
22.9%
Computer Software
18.9%
Information Technology and Services
13.3%
Telecommunications
7.8%
Internet
7.8%
Higher Education
5.6%
Other
46.7%
Alternatives
Discussions
Is angular material better than bootstrap?
1 Comment
PG
yes....it is better than bootstrapRead more
Angular Material has no more discussions with answers
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
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