Ranked by Attention Score: stars gained over the last 180 complete days
43 repositories by Attention Score · May 7, 2026 – Nov 2, 2026 (UTC)
The 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 than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Download market data from Yahoo! Finance's API
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
TuShare is a utility for crawling historical data of China stocks
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
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.
:zap: A Fast, Extensible Progress Bar for Python and CLI
A terminal spreadsheet multitool for discovering and arranging data
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
Statistical data visualization in Python
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Open Machine Learning Course
A light-weight, flexible, and expressive statistical data testing library
Parallel computing with task scheduling
the portable Python dataframe library
Python tools for geographic data
Lightweight and extensible compatibility layer between dataframe libraries!
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
N-D labeled arrays and datasets in Python
Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.
A Python module for creating Excel XLSX files.
Modin: Scale your Pandas workflows by changing a single line of code
Visualize and compare datasets, target values and associations, with one line of code.
What's in your data? Extract schema, statistics and entities from datasets
Missing data visualization module for Python.
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).
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
Automatically visualize your pandas dataframe via a single print! 📊 💡
Clean APIs for data cleaning. Python implementation of R package Janitor
Python DataFrames as Interactive DataTables
Common financial technical indicators implemented in Pandas.
High performance datastore for time series and tick data
Koalas: pandas API on Apache Spark
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Lightweight DataFrame validation decorators for Pandas, Polars, Modin, and PyArrow. No custom types required.
A Python toolkit for generating human-readable timetables from GTFS data; uses PANDAS and gtfs_kit
A fast, forgiving GTFS reader built on pandas DataFrames
A Python library built on pandas and geopandas for linearly referenced data management, engineering, and analysis using the DataFrame accessor pattern (.lr).