Ranked by Attention Score: stars gained over the last 7 complete days
72 repositories by Attention Score · Oct 27, 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
Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
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
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Apache Superset is a Data Visualization and Data Exploration Platform
Streamlit — A faster way to build and share data apps.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
EvoOntology: A Self-Evolving Ontology Layer for Data Agents ⚙️ EvoOntology插件为Claude Code/Codex 建立&进化本体层
scikit-learn: machine learning in Python
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
An orchestration platform for the development, production, and observation of data assets.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Deep Learning for humans
Statsmodels: statistical modeling and econometrics in Python
matplotlib: plotting with Python
💫 Industrial-strength Natural Language Processing (NLP) in Python
Python Stream Processing
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
🦉 Data Versioning and ML Experiments
Fast and Accurate ML in 3 Lines of Code
Lightning ⚡️ fast forecasting with statistical and econometric models.
Always know what to expect from your data.
Low-code framework for building custom LLMs, neural networks, and other AI models
🕸️ Web apps in pure Python 🐍
A unified framework for machine learning with time series
A python library for user-friendly forecasting and anomaly detection on time series.
Best Practices on Recommendation Systems
Statistical data visualization in Python
🌊 Online machine learning in Python
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
An open source python library for automated feature engineering
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Open Machine Learning Course
The Open Source Feature Store for AI/ML
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Data Apps & Dashboards for Python. No JavaScript Required.
Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes
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.
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
Feature engineering and selection open-source Python library compatible with sklearn.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Python Streaming DataFrames for Kafka
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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.
Topic Modelling for Humans
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
A curated list of data mining papers about fraud detection.
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
Python package for graph statistics
An open-source NLP research library, built on PyTorch.
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Automatically visualize your pandas dataframe via a single print! 📊 💡
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Python library that makes it easy for data scientists to create charts.
chDB is an in-process OLAP SQL Engine 🚀 powered by ClickHouse
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
CLI task management & automation tool
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
CLI utility and Python module for analyzing log files and other data.
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.