Pandas VS KNIME

Pandas

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

KNIME

KNIME, the open platform for your data.

Landing page //
2023-05-12

Landing page //
2023-09-28

Ozzy Man Reviews: Pandas

KNIME videos

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What Is KNIME?

Category Popularity

0-100% (relative to Pandas and KNIME)

KNIME

Data Science And Machine Learning

92 92%

Data Science And Machine Learning

8% 8

Data Science Tools

100 100%

Data Science Tools

0% 0

Business & Commerce

0 0%

Business & Commerce

100% 100

Python Tools

100 100%

Python Tools

0% 0

User comments

Share your experience with using Pandas and KNIME. 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 Pandas and KNIME

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

KNIME Reviews

Top 10 Tableau Open Source Alternatives: A Comprehensive List

Knime Analytics Platform is an open-source Business Intelligence software that has been developed as an integration platform for creating analytical reports. It is a software that might be difficult for a novice to use. However, for Data Scientists and other Data professionals, particularly those who want to work with R, Python, or other Predictive Machine Learning tools,...

Source: hevodata.com

Top 10 Data Analysis Tools in 2022

KNIME KNIME is an open-source tool that allows you to build or manipulate software to fit your company goals. KNIME is a free data analysis tool. KNIME is a valuable tool that is freely accessible and can be modified due to its open architecture. However, there is a paucity of learning materials and a need for better visualization.

Source: www.spiceworks.com

15 data science tools to consider using in 2021

Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.

Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, Pandas seems to be a lot more popular than KNIME. While we know about 197 links to Pandas, we've tracked only 2 mentions of KNIME. 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 (197)

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 5 hours 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 / about 2 months ago
Stuff I Learned during Hanukkah of Data 2023
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 4 months ago
Exploring Open-Source Alternatives to Landing AI for Robust MLOps
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
Mastering Pandas read_csv() with Examples - A Tutorial by Codes With Pankaj
Pandas, a powerful data manipulation library in Python, has become an essential tool for data scientists and analysts. One of its key functions is read_csv(), which allows users to read data from CSV (Comma-Separated Values) files into a Pandas DataFrame. In this tutorial, brought to you by CodesWithPankaj.com, we will explore the intricacies of read_csv() with clear examples to help you harness its full potential. - Source: dev.to / 5 months ago

KNIME mentions (2)

Replace SAP BI with what?
I'd recommend to look into the free and open source KNIME tool (knime.com). It may not look easy to use right away, but if you stick with it for a little while and attend its learning guides, KNIME will grow on you. You can even have it scheduled using Microsoft Task Scheduler or CRON for free. For me, it has augmented the capabilities of Power BI, Looker Studio, Cognos, Excel, and other proprietary tools. Its... Source: 10 months ago
More "pythonic" way of writing my API query?
That would cause a problem because ultimately this query will be scheduled to run multiple times a day on a KNIME server. Source: 12 months ago