Always know what to expect from your data.
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47,133 repositories indexed
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Always know what to expect from your data.
Statsmodels: statistical modeling and econometrics in Python
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Open Machine Learning Course
cuDF - GPU DataFrame Library
Open Source Feature Flags, Experimentation, and Product Analytics
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.
A curated list of awesome R packages, frameworks and software.
Automatically visualize your pandas dataframe via a single print! 📊 💡
OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
A Grammar of Graphics for Python
Next generation of automated data exploratory analysis and visualization platform.
Missing data visualization module for Python.
Java dataframe and visualization library
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Beautiful, open source, WebGPU-based charting library
Visualize and compare datasets, target values and associations, with one line of code.
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/
App to easily query, script, and visualize data from every database, file, and API.