pandas VS pandas-chat

Compare pandas vs pandas-chat and see what are their differences.

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 [Moved to: https://github.com/pandas-dev/pandas] (by pydata)

pandas-chat

pandas-ai is a python library that uses ChatGPT prompts to analyze and process pandas data in a conversational way. (by torshind)
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pandas pandas-chat
1 1
33,264 2
- -
10.0 4.4
about 2 years ago about 1 year ago
Python Python
BSD 3-clause "New" or "Revised" License 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.

pandas

Posts with mentions or reviews of pandas. We have used some of these posts to build our list of alternatives and similar projects.
  • Does pandas iterrows have performance issues?
    1 project | /r/codehunter | 2 Apr 2022
    This discussion on GitHub led me to believe it is caused when mixing dtypes in the dataframe, however the simple example below shows it is there even when using one dtype (float64). This takes 36 seconds on my machine:

pandas-chat

Posts with mentions or reviews of pandas-chat. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing pandas and pandas-chat you can also consider the following projects:

pandas-datareader - Extract data from a wide range of Internet sources into a pandas DataFrame.

datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

gurobipy-pandas - Convenience wrapper for building optimization models from pandas data

Dask - Parallel computing with task scheduling

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

tqdm - :zap: A Fast, Extensible Progress Bar for Python and CLI

datasloth - Natural language Pandas queries and data generation powered by GPT-3

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).

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

30-Days-Of-Python - 30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw