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An orchestration platform for the development, production, and observation of data assets.
🦉 Data Versioning and ML Experiments
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
Statistical data visualization in Python
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes
Always know what to expect from your data.
Low-code framework for building custom LLMs, neural networks, and other AI models
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.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
Fast and Accurate ML in 3 Lines of Code
Open Machine Learning Course
Modin: Scale your Pandas workflows by changing a single line of code
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A unified framework for machine learning with time series
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
A python library for user-friendly forecasting and anomaly detection on time series.
Deep learning library featuring a higher-level API for TensorFlow.
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
An open source python library for automated feature engineering