1.shiyu-coder / Kronos
Kronos: A Foundation Model for the Language of Financial Markets
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Kronos: A Foundation Model for the Language of Financial Markets
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
🪄 Data Formulator is an interactive AI-powered data analysis system makes it easy to connect, explore and visualize data.
Apache Superset is a Data Visualization and Data Exploration Platform
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
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.
AI Observability & Evaluation
阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构
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
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
Streamlit — A faster way to build and share data apps.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
matplotlib: plotting with Python
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
100 numpy exercises (with solutions)
🕸️ Web apps in pure Python 🐍
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Rich-powered CLI that breaks each HTTP request into DNS, connect, TLS, wait, and transfer phases with waterfall timelines, compact summaries, or metrics-only output.
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
An open access book on scientific visualization using python and matplotlib
Fast and Accurate ML in 3 Lines of Code
🌊 Online machine learning in Python
Always know what to expect from your data.
A terminal spreadsheet multitool for discovering and arranging data
Statsmodels: statistical modeling and econometrics in Python
An open source multi-tool for exploring and publishing data
A unified framework for machine learning with time series
TuShare is a utility for crawling historical data of China stocks
The interactive graphing library for Python :sparkles:
🦉 Data Versioning and ML Experiments
Faker is a Python package that generates fake data for you.
Data Apps & Dashboards for Python. No JavaScript Required.
Best Practices on Recommendation Systems
The Open Source Feature Store for AI/ML
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Turns Data and AI algorithms into production-ready web applications in no time.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Build, Manage and Deploy AI/ML Systems
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.
Statistical data visualization in Python
NumPy aware dynamic Python compiler using LLVM
3D visualization and mesh analysis for science and engineering
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Open Machine Learning Course
A python library for user-friendly forecasting and anomaly detection on time series.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
A MNIST-like fashion product database. Benchmark :point_down:
Investigate malicious Windows logon by visualizing and analyzing Windows event log
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
A light-weight, flexible, and expressive statistical data testing library
An open source extension that connects AI agents to computational notebooks in JupyterLab.
Open source annotation tool for machine learning practitioners.
Scalable and user friendly neural :brain: forecasting algorithms.
🎚️ Open Source Audio Matching and Mastering
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
the portable Python dataframe library
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
napari: a fast, interactive, multi-dimensional image viewer for python
chDB is an in-process OLAP SQL Engine 🚀 powered by ClickHouse
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Rich MySQL Terminal Client with AutoCompletion, Syntax Highlighting, and Dataframes
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Low-code framework for building custom LLMs, neural networks, and other AI models
Topic Modelling for Humans
Module for statistical learning, with a particular emphasis on time-dependent modelling
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
Vizro is a low-code toolkit for building high-quality data visualization apps.
Colour Science for Python
100-Days-Of-ML-Code中文版
Lightweight and extensible compatibility layer between dataframe libraries!
Jupyter metapackage for installation and documentation
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Python audio and music signal processing library
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Fast data visualization and GUI tools for scientific / engineering applications
Multi-user server for Jupyter notebooks
🔩 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 neovim plugin for interactively running code with the jupyter kernel. Fork of magma-nvim with improvements in image rendering, performance, and more
common data analysis and machine learning tasks using python
N-D labeled arrays and datasets in Python
Scalable machine 🤖 learning for time series forecasting.
Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.