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 90 complete days
1–100 of 153 by Attention Score · Aug 6, 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.
Apache Superset is a Data Visualization and Data Exploration Platform
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
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 🐍
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.
Translated📈Lightweight k-line chart that can be highly customized. Zero dependencies. Support mobile.
Fast and Accurate ML in 3 Lines of Code
One advanced and mature open-source MPP (Massively Parallel Processing) database. Open source alternative to Greenplum Database.
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.
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Lightning ⚡️ fast forecasting with statistical and econometric models.
A python library for user-friendly forecasting and anomaly detection on time series.
Kubernetes Community Documentation
Scalable and user friendly neural :brain: forecasting algorithms.
the portable Python dataframe library
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
chDB is an in-process OLAP SQL Engine 🚀 powered by ClickHouse
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.
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 🦖
Vizro is a low-code toolkit for building high-quality data visualization apps.
React components to build charts and dashboards
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.
Deep universal probabilistic programming with Python and PyTorch
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/
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.
Scalable machine 🤖 learning for time series forecasting.
Python Stream Processing
Library for animated data visualizations and data stories.
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.
Querybook is a Big Data Querying UI, combining collocated table metadata and a simple notebook interface.
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.
Modin: Scale your Pandas workflows by changing a single line of code
What's in your data? Extract schema, statistics and entities from datasets
Blazing fast hexapod robot simulator for the web.
Python library that makes it easy for data scientists to create charts.
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
Beautiful charts for iOS/tvOS/OSX! The Apple side of the crossplatform MPAndroidChart.
IoTSharp is an open-source IoT platform for data collection, processing, visualization, and device management.
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.
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.
Java dataframe and visualization library
Visual Integration Designer for Apache Camel
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.
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.
Python Streaming DataFrames for Kafka
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
Automatically visualize your pandas dataframe via a single print! 📊 💡
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Realtime Web Apps and Dashboards for Python and R
An R package for causal inference in time series
Elyra extends JupyterLab with an AI centric approach.
Natural Gradient Boosting for Probabilistic Prediction
Entity Relation Diagrams generation tool
StableLM: Stability AI Language Models
A collection of Jupyter notebooks showing how to use the Qiskit SDK
The repository host gives no description.
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
:bar_chart: :chart_with_upwards_trend:⠀Robust dataviz framework implemented using D3 & typescript
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
High-performance, time-indexed object storage for robotics and industrial IoT
Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!
Charts library for Android compatible with API 8+, several chart types with scaling, scrolling and animations 📊
📊 Data visualization library for React. Maintained by @goodcodeus.
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 🗄️
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
Accumulo backed time series database
High-performance time-series aggregation for PostgreSQL
No-code in the front, Python in the back. An open-source framework for creating data apps.
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.
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
StellarGraph - Machine Learning on Graphs
InfluxDB Community Templates: Quickly collect & analyze time series data from a range of sources: Kubernetes, MySQL, Postgres, AWS, Nginx, Jenkins, and more.
A collection of infrastructure and tools for research in neural network interpretability.
ADAM is a genomics analysis platform with specialized file formats built using Apache Avro, Apache Spark, and Apache Parquet. Apache 2 licensed.
A knowledge graph and a set of tools for drug repurposing