1.google-research / timesfm
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
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TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Open-Source Agent Observability & Evals for AI Platform teams. Trace, test, route and govern every agent & coding assistant in the company.
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.
Performant financial charts built with HTML5 canvas
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!
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Meshery, the cloud native manager
Google Research
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
🔎 Open source distributed and RESTful search engine.
Python training for business analysts and traders
Visualize, query, and stream to train on multimodal robotics data.
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
🕸️ Web apps in pure Python 🐍
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.
PyTorch code and models for the DINOv2 self-supervised learning method.
LangGPT: Empowering everyone to become a prompt expert! 🚀 📌 结构化提示词(Structured Prompt)提出者 📌 元提示词(Meta-Prompt)发起者 📌 最流行的提示词落地范式 | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树
Refine high-quality datasets and visual AI models
The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.
📈Lightweight k-line chart that can be highly customized. Zero dependencies. Support mobile.(可高度自定义的轻量级k线图,无第三方依赖,支持移动端)
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Open-source, self-hosted alerting for metrics, logs, and databases. Includes a built-in AI agent and MCP server.
Fast and Accurate ML in 3 Lines of Code
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Always know what to expect from your data.
Automatically generates beautiful and easy-to-read ER diagrams from your database.
An open source multi-tool for exploring and publishing data
Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
A flow chart editing framework focus on business customization. 专注于业务自定义的流程图编辑框架,支持实现脑图、ER图、UML、工作流等各种图编辑场景。
One advanced and mature open-source MPP (Massively Parallel Processing) database. Open source alternative to Greenplum Database.
🦉 Data Versioning and ML Experiments
The Open Source Feature Store for AI/ML
This repository contains implementations and illustrative code to accompany DeepMind publications
The Cloud Native AI Platform
Turns Data and AI algorithms into production-ready web applications in no time.
OceanBase is the unified distributed database for the AI era — open-source, multi-model, one engine for your most demanding workloads.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Build, Manage and Deploy AI/ML Systems
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
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.
No description provided by the repository host.
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
Lightning ⚡️ fast forecasting with statistical and econometric models.
Performance analysis of predictive (alpha) stock factors
A python library for user-friendly forecasting and anomaly detection on time series.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Kubernetes Community Documentation
Techniques for deep learning with satellite & aerial imagery
Flax is a neural network library for JAX that is designed for flexibility.
Scalable and user friendly neural :brain: forecasting algorithms.
the portable Python dataframe library
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
A powerful 🚀 Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, panning and animations.
Automate code & data workflows with interactive Elixir notebooks
cuDF - GPU DataFrame Library
The fastest way to create an HTML app
No description provided by the repository host.
chDB is an in-process OLAP SQL Engine 🚀 powered by ClickHouse
Low-code framework for building custom LLMs, neural networks, and other AI models
Portfolio and risk analytics in Python
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Up to 100x faster strings for C, C++, CUDA, Python, Rust, Swift, JS, & Go, leveraging NEON, AVX2, AVX-512, SVE, GPGPU, & SWAR to accelerate search, hashing, sorting, edit distances, sketches, and memory ops 🦖
A multi-voice TTS system trained with an emphasis on quality
Vizro is a low-code toolkit for building high-quality data visualization apps.
Instant Kubernetes-Native Application Observability
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
React components to build charts and dashboards
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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.
A simple command line notebook
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/
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
N-D labeled arrays and datasets in Python
Scalable machine 🤖 learning for time series forecasting.
🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.
A system for quickly generating training data with weak supervision
A library for visualization and creative-coding
Python Stream Processing
Library for animated data visualizations and data stories.
Official inference library for Mistral models
Create delightful software with Jupyter Notebooks
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Streaming-first technical indicators with a Rust core: native Python, Node.js and WebAssembly bindings plus a C ABI hub for C, C++, C#, Go, Java and R. 514 indicators, O(1) per-tick updates, no system dependencies. Drop-in TA-Lib replacement.
AI Infra / AI Orchestration / AI Control Plane
Querybook is a Big Data Querying UI, combining collocated table metadata and a simple notebook interface.
The leader in Customer Data Infrastructure
React data visualization library for streaming, networks, and AI-assisted development
Open source math and physics engine that executes MATLAB-syntax code. Features a modern compiler, automatic GPU acceleration for large calculations, and support for math on geometry / FEA calculations.