1.google-research / timesfm
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Ranked by Attention Score: stars gained over the last 30 complete days
1–100 of 126 by Attention Score · Oct 5, 2026 – Nov 3, 2026 (UTC)
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
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.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Performant financial charts built with HTML5 canvas
Apache ECharts is a powerful, interactive charting and data visualization library for browser
Google Research
Visualize, query, and stream to train on multimodal robotics data.
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
🕸️ Web apps in pure Python 🐍
Translated📈Lightweight k-line chart that can be highly customized. Zero dependencies. Support mobile.
This repository contains implementations and illustrative code to accompany DeepMind publications
Fast and Accurate ML in 3 Lines of Code
The Cloud Native AI Platform
Lightning ⚡️ fast forecasting with statistical and econometric models.
A python library for user-friendly forecasting and anomaly detection on time series.
The Open Source Feature Store for AI/ML
Turns Data and AI algorithms into production-ready web applications in no time.
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Kubernetes Community Documentation
Automate code & data workflows with interactive Elixir notebooks
Scalable and user friendly neural :brain: forecasting algorithms.
A powerful 🚀 Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, panning and animations.
the portable Python dataframe library
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.
Vizro is a low-code toolkit for building high-quality data visualization apps.
cuDF - GPU DataFrame Library
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.
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/
One advanced and mature open-source MPP (Massively Parallel Processing) database. Open source alternative to Greenplum Database.
Scalable machine 🤖 learning for time series forecasting.
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 🦖
Python Stream Processing
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
chDB is an in-process OLAP SQL Engine 🚀 powered by ClickHouse
Java dataframe and visualization library
Library for animated data visualizations and data stories.
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.
Deep universal probabilistic programming with Python and PyTorch
A simple command line notebook
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Querybook is a Big Data Querying UI, combining collocated table metadata and a simple notebook interface.
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 📐
Natural Gradient Boosting for Probabilistic Prediction
Powerful Analytics Solution. Setup in 30 seconds. Display all your data on a Simple, AI-powered dashboard. Fully self-hostable and GDPR compliant. Alternative to Google Analytics, MixPanel, Plausible, Umami & Matomo.
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.
Elyra extends JupyterLab with an AI centric approach.
Create delightful software with Jupyter Notebooks
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.
Realtime Web Apps and Dashboards for Python and R
Python Streaming DataFrames for Kafka
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
Modin: Scale your Pandas workflows by changing a single line of code
A collection of Jupyter notebooks showing how to use the Qiskit SDK
What's in your data? Extract schema, statistics and entities from datasets
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
Centreon is a network, system and application monitoring tool. Centreon is the only AIOps Platform Providing Holistic Visibility to Complex IT Workflows from Cloud to Edge.
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.
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
React data visualization library for streaming, networks, and AI-assisted development
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
📊 Data visualization library for React. Maintained by @goodcodeus.
Accumulo backed time series database
Charts library for Android compatible with API 8+, several chart types with scaling, scrolling and animations 📊
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Python library that makes it easy for data scientists to create charts.
Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.
An R package for causal inference in time series
SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.
Blazing fast hexapod robot simulator for the web.
Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️
The repository host gives no description.
High-performance, time-indexed object storage for robotics and industrial IoT
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 collection of infrastructure and tools for research in neural network interpretability.
Finished, accessible charts that any page, and any agent, can add with one script tag or one validated JSON config.
High-performance time-series aggregation for PostgreSQL
Entity Relation Diagrams generation tool
Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.
:bar_chart: :chart_with_upwards_trend:⠀Robust dataviz framework implemented using D3 & typescript
A knowledge graph and a set of tools for drug repurposing
MoniGo is a performance monitoring library for Go apps, offering real-time insights into service-level and function-level metrics. With an intuitive UI, it enables developers to track and optimize performance. Get your Go app's dashboard up in just 10 seconds!
A filesystem-like contents manager for multiple backends in Jupyter
Visual Integration Designer for Apache Camel
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
LinDB is a scalable, high performance, high availability distributed time series database.
StellarGraph - Machine Learning on Graphs
StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
CatBoost tutorials repository
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
A C++ header-only library of statistical distribution functions.