Software Alternatives, Accelerators & Startups

Pandas VS Pinecrow

Compare Pandas VS Pinecrow and see what are their differences

Pandas logo Pandas

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

Pinecrow logo Pinecrow

Market Research data to Insights at warp speed; Research projects made perfectly simple
  • Pandas Landing page
    Landing page //
    2023-05-12
  • Pinecrow Landing page
    Landing page //
    2023-10-01

Pinecrow is designed to make life easier for Market Researchers through our two flagship solutions:

1) Survey insights: Pinecrow connects with all major survey execution platforms like Qualtrics, FocusVision Decipher and SurveyMonkey to automatically transform your survey response data to a centralized analytical database. Anyone within your organization can use a simple search, just like a Google search engine to find the right data and insights even from surveys that were done several years ago and long forgotten. Researchers can now spend less time in finding and processing data and more time in generating insights. Pinecrow also comes with automatic visualizations, nested crosstabs and guided statistical analysis and supports both quantitative and qualitative data. You can dive deeper on what matters most from each research project, as well as connect the dots across multiple surveys to reveal hidden connections with new insights to inspire action.

2) Survey management: Pinecrow is the only project management solution for Market Research available in the market that helps streamline your processes and projects. You can leverage our curated templates and build your entire survey workflow with just a few clicks. We have all the tools necessary to plan, organize, track and scale your survey workflows and all other market research activities within the same platform. It has never been so easy to manage dependent, overlapping, and unscheduled tasks.

Pinecrow

$ Details
freemium
Platforms
Web Browser Cloud Slack AWS
Release Date
2019 June

Pandas features and specs

No features have been listed yet.

Pinecrow features and specs

  • Secure Collaboration: Yes
  • Encrypted Data Storage: Yes
  • Data Import/Export: Yes
  • Data Synchronization: Yes
  • Visualizations: Yes
  • Statistics & Analytics: Yes
  • Slack integration: Yes

Pandas videos

Ozzy Man Reviews: Pandas

More videos:

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

Pinecrow videos

Survey data to insights at warp speed; Market Research projects made perfectly simple.

Category Popularity

0-100% (relative to Pandas and Pinecrow)
Data Science And Machine Learning
Insight Management
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Product Information Management

User comments

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Reviews

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

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

Pinecrow Reviews

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

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.

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 / 3 days ago
  • Awesome List
    Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 9 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
View more

Pinecrow mentions (0)

We have not tracked any mentions of Pinecrow yet. Tracking of Pinecrow recommendations started around Sep 2021.

What are some alternatives?

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

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

Infotools Harmoni - Cloud-based market research analysis and data visualization

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

KnowledgeHound - Data discovery and visual analytics to create a more agile, customer driven organization

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

Pimcore - Pimcore is an award-winning data management and customer experience management software.