FeedBear VS Pandas

Compare FeedBear VS Pandas and see what are their differences

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. featured

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FeedBear

The smartest way to manage feedback from your customers

Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Landing page //
2023-09-28

FeedBear helps you make informed product decisions and keep users in the loop.

Feedback boards allow you to collect feedback from your customers in one, central place.
Roadmap fills up automatically as you make progress.
Changelog allows you to make bigger announcements in a beautiful way.

Check out our website to learn more.

Landing page //
2023-05-12

FeedBear

Website: feedbear.com
Pricing URL: Official FeedBear Pricing
$ Details: paid Free Trial $59.0 / Monthly (All-inclusive)
Platforms: Web
Release Date: 2018 August
Startup details
Country: Slovakia
City: Bratislava
Employees: 1 - 9

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Pandas

Website: pandas.pydata.org
Pricing URL: -
$ Details
Platforms: -
Release Date: -

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FeedBear features and specs

Integrations: Intercom, Slack
Public roadmap: Show your progress
Feedback boards: Let your users post feedback & requests
Changelog: Announce important updates
Free Trial: 14-day free trial, no credit card required
Easy to Set-up and use: less than 5 min setup
Clean UI: Clean and Smooth UI, No technical jargon and just works

Pandas features and specs

No features have been listed yet.

FeedBear videos

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Pandas videos

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Ozzy Man Reviews: Pandas

Category Popularity

0-100% (relative to FeedBear and Pandas)

Pandas

Customer Feedback

100 100%

Customer Feedback

0% 0

Data Science And Machine Learning

0 0%

Data Science And Machine Learning

100% 100

User Feedback

100 100%

User Feedback

0% 0

Data Science Tools

0 0%

Data Science Tools

100% 100

User comments

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

Reviews

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

FeedBear Reviews

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

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 201 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.

FeedBear mentions (0)

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

Pandas mentions (201)

Essential Deep Learning Checklist: Best Practices Unveiled
How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 17 days ago
Awesome List
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 23 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 2 months 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 / 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 / 2 months ago