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Pandas VS Baserow

Compare Pandas VS Baserow and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Pandas logo Pandas

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

Baserow logo Baserow

Open source no-code database and Airtable alternative. Create your own online database without technical experience. Performant with high volumes of data, can be self hosted and supports plugins
  • Pandas Landing page
    Landing page //
    2023-05-12
  • Baserow
    Image date //
    2024-01-24

Baserow is a collaborative open source no-code tool. Our job is to help you connect all your data across your teams and workflows to keep everything in sync and get the job done with a greater speed and security. The platform enables non-technical teams to digitize workflows, automate processes and improve business efficiencies.

Baserow organizes all your data into tables that are easy to create, collaborate on and look through. When there’s one database for all workflows running in your company, everyone knows exactly where to look for what.

Pandas features and specs

  • Data Wrangling
    Pandas offers robust tools for manipulating, cleaning, and transforming data, making it easier to prepare data for analysis.
  • Flexible Data Structures
    Pandas provides two primary data structures: Series and DataFrame, which are flexible and offer powerful capabilities for handling various types of datasets.
  • Integration with Other Libraries
    Pandas integrates seamlessly with other Python libraries such as NumPy, Matplotlib, and SciPy, facilitating comprehensive data analysis workflows.
  • Performance with Data Size
    For data sizes that fit into memory, Pandas performs excellently with operations and computations being highly optimized.
  • Rich Feature Set
    Pandas provides a wide array of functionalities, including but not limited to group-by operations, merging and joining data sets, time-series functionality, and input/output tools.
  • Community and Documentation
    Pandas has a strong community and extensive documentation, offering a wealth of tutorials, examples, and support for new and experienced users alike.

Possible disadvantages of Pandas

  • Memory Consumption
    Pandas can become memory inefficient with very large datasets because it relies heavily on in-memory operations.
  • Single-threaded
    Many Pandas operations are single-threaded, which can lead to performance bottlenecks when handling very large datasets.
  • Steep Learning Curve
    For users who are new to data analysis or Pandas, there can be a steep learning curve due to its extensive capabilities and complex syntax at times.
  • Less Suitable for Real-time Analytics
    Pandas is not designed for real-time analytics and is better suited for batch processing due to its in-memory operations and single-threaded nature.
  • Error Handling
    Error messages in Pandas can sometimes be cryptic and hard to interpret, making debugging a challenge for users.

Baserow features and specs

  • Database
  • Web application
  • Filtering
  • Sorting
  • Search
  • Templates
  • Public REST API
  • API token permissions
  • Import
  • Export
  • Trash
  • Undo/redo
  • Webhooks
  • Public sharing
  • Footer aggregations
  • Row comments
  • Row coloring
  • Real time collaboration
  • Grid view
  • Gallery view
  • Kanban view
  • Form view
  • Rich field types
  • Admin panel
  • Inviting members

Pandas videos

+ Add

Ozzy Man Reviews: Pandas

More videos:

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

Baserow videos

+ Add

Baserow

Category Popularity

0-100% (relative to Pandas and Baserow)

Pandas

Baserow

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Tech
0 0%
Tech
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Spreadsheets
0 0%
Spreadsheets
100% 100

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 Baserow

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

Baserow Reviews

12 Best Open-source Database Backend Server and Google Firebase Alternatives
Baserow is a low-code and no-code database application layer with a rich REST-API headless mode for building a data-rich web and mobile apps.It features a multi-project (app) support, dynamic data tables view with a rich control panel which comes with Kanban and Calendar views as well. It supports real-time collaboration and unlimited data row display.Baserow is built on top...
Source: medevel.com

Social recommendations and mentions

Based on our record, Pandas should be more popular than Baserow. It has been mentiond 219 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 (219)

  • Top Programming Languages for AI Development in 2025
    Libraries for data science and deep learning that are always changing. - Source: dev.to / 17 days ago
  • How to import sample data into a Python notebook on watsonx.ai and other questions…
    # Read the content of nda.txt Try: Import os, types Import pandas as pd From botocore.client import Config Import ibm_boto3 Def __iter__(self): return 0 # @hidden_cell # The following code accesses a file in your IBM Cloud Object Storage. It includes your credentials. # You might want to remove those credentials before you share the notebook. Cos_client = ibm_boto3.client(service_name='s3', ... - Source: dev.to / about 1 month ago
  • How I Hacked Uber’s Hidden API to Download 4379 Rides
    As with any web scraping or data processing project, I had to write a fair amount of code to clean this up and shape it into a format I needed for further analysis. I used a combination of Pandas and regular expressions to clean it up (full code here). - Source: dev.to / about 1 month ago
  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 3 months ago
  • Sample Super Store Analysis Using Python & Pandas
    This tutorial provides a concise and foundational guide to exploring a dataset, specifically the Sample SuperStore dataset. This dataset, which appears to originate from a fictional e-commerce or online marketplace company's annual sales data, serves as an excellent example for learning and how to work with real-world data. The dataset includes a variety of data types, which demonstrate the full range of... - Source: dev.to / 9 months ago
View more

Baserow mentions (96)

  • Why Do Developers Struggle with Low-Code? (6 Tools That Actually Help)
    4. Baserow (An Open-Source Airtable Alternative for Easy Data Management). - Source: dev.to / 3 months ago
  • Open-Source Alternative to Airtable
    I don't know of any OSS low code dbs with access controls, but baserow's paid plans do https://baserow.io/. - Source: Hacker News / about 1 year ago
  • Baserow – Self Hosted Airtable Alternative Launches No-Code Application Builder
    Hey, I'm one of the founders of Baserow. We launched the beta of our application builder last week. It allows you to build database-driven websites, web applications, and portals. It's in the same product as our database module, and will work seamlessly together with it. More information can be found in the release blog post linked to this post, and in this video https://www.youtube.com/watch?v=yjE7gxkPlDs. Even... - Source: Hacker News / about 1 year ago
  • Show HN: Teable – Open-Source No-Code Database Fusion of Postgres and Airtable
    What are the main differences compared to Baserow (https://baserow.io/)? - Source: Hacker News / about 1 year ago
  • Show HN: Teable – Open-Source No-Code Database Fusion of Postgres and Airtable
    Baserow[0] is really good! [0]: https://baserow.io/. - Source: Hacker News / about 1 year ago
View more

What are some alternatives?

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

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

NocoDB - The Open Source Airtable alternative

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

Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.

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

Rows - The spreadsheet where teams work faster

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