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Crystal Reports VS Pandas

Compare Crystal Reports VS Pandas and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Crystal Reports logo Crystal Reports

Save up to 25% when you buy or upgrade. Discover SAP Crystal Reports to take control of complex data and monitor business performance to achieve results.

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
  • Crystal Reports Landing page
    Landing page //
    2023-09-21
  • Pandas Landing page
    Landing page //
    2023-05-12

Crystal Reports videos

+ Add

Crystal Reports 101

More videos:

  • Review - SAP Crystal Reports 2016: Nine Features Every User Should Know
  • Tutorial - Crystal Report Beginner Training Tutorial 2017 - An Introduction To SAP Crystal Reports

Pandas videos

+ Add

Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

Category Popularity

0-100% (relative to Crystal Reports and Pandas)

Crystal Reports

Pandas

Business Intelligence
100 100%
Business Intelligence
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Data Dashboard
37 37%
Data Dashboard
63% 63
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Crystal Reports and Pandas. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Crystal Reports and Pandas

Crystal Reports Reviews

We have no reviews of Crystal Reports yet.
Be the first one to post

Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

Social recommendations and mentions

Based on our record, Pandas seems to be more popular. It has been mentiond 200 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.

Crystal Reports mentions (0)

We have not tracked any mentions of Crystal Reports yet. Tracking of Crystal Reports recommendations started around Mar 2021.

Pandas mentions (200)

  • Awesome List
    Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 6 days ago
  • The ultimate guide to creating a secure Python package
    It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / about 1 month ago
  • AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
    Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / about 2 months ago
  • Pandas reset_index(): How To Reset Indexes in Pandas
    In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / about 2 months ago
  • Deploying a Serverless Dash App with AWS SAM and Lambda
    Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 4 months ago
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What are some alternatives?

When comparing Crystal Reports and Pandas, you can also consider the following products

JasperReports - JasperReports Server is a stand-alone and embeddable reporting server.

NumPy - NumPy is the fundamental package for scientific computing with Python

Telerik Reporting - Deliver Reports to Any Application. Add reports to any business application. View reports on mobile devices and in web, desktop and cloud apps. Export reports to any format.

OpenCV - OpenCV is the world's biggest computer vision library

Pentaho - Pentaho is a Business Intelligence software company that offers Pentaho Business Analytics, a suite...

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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