Ranked by Attention Score: stars gained over the last 30 complete days
99 repositories by Attention Score · Oct 4, 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
scikit-learn: machine learning in Python
Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.
EvoOntology: A Self-Evolving Ontology Layer for Data Agents ⚙️ EvoOntology插件为Claude Code/Codex 建立&进化本体层
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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.
Apache Superset is a Data Visualization and Data Exploration Platform
Streamlit — A faster way to build and share data apps.
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
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
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
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.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
An orchestration platform for the development, production, and observation of data assets.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
matplotlib: plotting with Python
Deep Learning for humans
🕸️ Web apps in pure Python 🐍
💫 Industrial-strength Natural Language Processing (NLP) in Python
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Statsmodels: statistical modeling and econometrics in Python
Always know what to expect from your data.
🦉 Data Versioning and ML Experiments
Best Practices on Recommendation Systems
Fast and Accurate ML in 3 Lines of Code
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Statistical data visualization in Python
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.
Data Apps & Dashboards for Python. No JavaScript Required.
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.
A unified framework for machine learning with time series
Lightning ⚡️ fast forecasting with statistical and econometric models.
Open Machine Learning Course
The Open Source Feature Store for AI/ML
A python library for user-friendly forecasting and anomaly detection on time series.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
🌊 Online machine learning in Python
Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
Low-code framework for building custom LLMs, neural networks, and other AI models
Topic Modelling for Humans
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Python Stream Processing
A system for quickly generating training data with weak supervision
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
common data analysis and machine learning tasks using python
chDB is an in-process OLAP SQL Engine 🚀 powered by ClickHouse
Feature engineering and selection open-source Python library compatible with sklearn.
An open source python library for automated feature engineering
A library of extension and helper modules for Python's data analysis and machine learning libraries.
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 Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
Python Streaming DataFrames for Kafka
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Modin: Scale your Pandas workflows by changing a single line of code
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Python Data. Leaflet.js Maps.
CLI task management & automation tool
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
A curated list of data mining papers about fraud detection.
Python package for graph statistics
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
An open-source NLP research library, built on PyTorch.
Automatically visualize your pandas dataframe via a single print! 📊 💡
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.
What's in your data? Extract schema, statistics and entities from datasets
Python library that makes it easy for data scientists to create charts.
Visualize and compare datasets, target values and associations, with one line of code.
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
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).
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
A curated list of community detection research papers with implementations.
moDel Agnostic Language for Exploration and eXplanation
Visualize large time series data with plotly.py
StellarGraph - Machine Learning on Graphs
Compare tables within or across databases
An intuitive library to add plotting functionality to scikit-learn objects.
NFStream: a Flexible Network Data Analysis Framework.
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
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
Koalas: pandas API on Apache Spark
Keras community contributions
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Transpile trained scikit-learn estimators and transformers to C, C#, Go, Java, JavaScript, PHP and Ruby.
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
CLI utility and Python module for analyzing log files and other data.
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.