DuckDB is a high-performance analytical database system
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High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
- gbdt
- gbm
- machine-learning
- data-mining
QuestDB is a high performance, open-source, time-series database
- time-series
- low-latency
- database
- sql
A high-performance, zero-overhead, extensible Python compiler with built-in NumPy support
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
- computer-vision
- deep-learning
- drug-discovery
- forecasting
Relocate resource intensive third-party scripts off of the main thread and into a web worker. 🎉
- webworker
- 3rd-party
- 3rdparty
- web-worker
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.
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
- mupdf
- xps
- pdf-documents
- epub
📈 A small, fast chart for time series, lines, areas, ohlc & bars
- time-series
- ohlc
- line-chart
- performance
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
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.
- machine-learning
- decision-trees
- gradient-boosting
- gbm
A collection of libraries to optimise AI model performances
Performance analysis of predictive (alpha) stock factors
Java dataframe and visualization library
- dataframe
- data-frame
- java
- java-dataframe
Beautiful, open source, WebGPU-based charting library
- chart-library
- charting-library
- data-analysis
- webgpu
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
- differential-equations
- differentialequations
- julia
- ode
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.
High performance datastore for time series and tick data
LinDB is a scalable, high performance, high availability distributed time series database.
- monitoring
- metrics
- high-performance
- distributed-database
High-performance time-series aggregation for PostgreSQL
- realtime
- stream-processing
- analytics
- sql
High-performance Toolkit for WebGL-based Data Visualization
A toolkit to make debugging iOS applications easier 🚀
A Python package for manipulating 2-dimensional tabular data structures
- python
- data-analysis
- data-structure
- performance