dbcli / mycli
Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes
dbcli / mycli
ibis-project / ibis
the portable Python dataframe library
lk-geimfari / mimesis
Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.
unionai-oss / pandera
A light-weight, flexible, and expressive statistical data testing library
posit-dev / great-tables
Make awesome display tables using Python
narwhals-dev / narwhals
Lightweight and extensible compatibility layer between dataframe libraries!
skrub-data / skrub
Machine learning with dataframes
quixio / quix-streams
Python Streaming DataFrames for Kafka
jealous / stockstats
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
pyjanitor-devs / pyjanitor
Clean APIs for data cleaning. Python implementation of R package Janitor
hail-is / hail
Cloud-native genomic dataframes and batch computing
freqtrade / technical
Various indicators developed or collected for the Freqtrade
scikit-hep / awkward
Manipulate JSON-like data with NumPy-like idioms.
mwouts / itables
Python DataFrames as Interactive DataTables
influxdata / influxdb-client-python
InfluxDB 2.0 python client
BioPandas / biopandas
Working with molecular structures in pandas DataFrames
buckaroo-data / buckaroo
Buckaroo - The data table UI for Notebooks. Quickly explore dataframes, scroll through dataframes, search, sort, view summary stats and histograms. Works with Pandas, Polars, Jupyter, Marimo, VSCode Notebooks
typedef-ai / fenic
Semantic DataFrames for humans and agents
capitalone / datacompy
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
Quantco / dataframely
A declarative, 🐻❄️-native data frame validation library.
kochlisGit / ProphitBet-Soccer-Bets-Predictor
ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
eakmanrq / sqlframe
Turning PySpark Into a Universal DataFrame API