aws-data-wrangler VS Pandas

Compare aws-data-wrangler vs Pandas and see what are their differences.

aws-data-wrangler

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL). [Moved to: https://github.com/aws/aws-sdk-pandas] (by awslabs)

Pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more (by pandas-dev)
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aws-data-wrangler Pandas
1 395
3,559 41,983
- 1.6%
10.0 10.0
9 months ago about 11 hours ago
Python Python
Apache License 2.0 BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

aws-data-wrangler

Posts with mentions or reviews of aws-data-wrangler. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-20.

Pandas

Posts with mentions or reviews of Pandas. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-28.
  • AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
    4 projects | dev.to | 28 Apr 2024
    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.
  • Pandas reset_index(): How To Reset Indexes in Pandas
    1 project | dev.to | 27 Apr 2024
    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.
  • Deploying a Serverless Dash App with AWS SAM and Lambda
    3 projects | dev.to | 4 Mar 2024
    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. Instead, we'll focus on what's necessary to make it run serverless.
  • Help Us Build Our Roadmap – Pydantic
    2 projects | news.ycombinator.com | 19 Feb 2024
    there is pull request to integrate in both pydantic extra types and into pandas cose [1]

    [1]: https://github.com/pandas-dev/pandas/issues/53999

  • Stuff I Learned during Hanukkah of Data 2023
    5 projects | dev.to | 18 Dec 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.
  • Introducing Flama for Robust Machine Learning APIs
    11 projects | dev.to | 18 Dec 2023
    pandas: A library for data analysis in Python
  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    18 projects | dev.to | 13 Dec 2023
    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.
  • Mastering Pandas read_csv() with Examples - A Tutorial by Codes With Pankaj
    1 project | dev.to | 9 Dec 2023
    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.
  • What Would Go in Your Dream Documentation Solution?
    2 projects | /r/technicalwriting | 9 Dec 2023
    So, what I'd like to do is write a documentation package in Python to recreate what I've lost. I plan to build upon the fantastic python-docx and docxtpl packages, and I'll probably rely on pandas from much of the tabular stuff. Here are the features I intend to include:
  • How do people know when to use what programming language?
    1 project | /r/AskProgramming | 6 Dec 2023
    Weirdly most of my time spent with data analysis was in the C layers in pandas.

What are some alternatives?

When comparing aws-data-wrangler and Pandas you can also consider the following projects:

boto3 - AWS SDK for Python

Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis

Trapheus - This tool automates restoration of RDS database instances from snapshots into any dev, staging or production environments. It supports individual RDS Snapshot as well as cluster snapshot restore operations.

tensorflow - An Open Source Machine Learning Framework for Everyone

ray_snowflake - Ray Data Connector for Snowflake

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

demo-code - Bits of code I use during live demos

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

aws-simple-websocket - Using AWS's API Gateway + Lambda to run a simple websocket application. For learning/testing.

Keras - Deep Learning for humans

dagster-example-pipeline - Template Dagster repo using poetry and a single Docker container; works well with CICD

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration