The Go Language library for SVG generation.
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Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Spark is a fast and general engine for large-scale data processing.
Self Organizing Map written in Python (Uses neural networks for data analysis).
A system for quickly generating training data with weak supervision.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.
Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Analyzes structured data and helps produce queries, insights or visualizations.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Bring multiple data streams into one dashboard.
A high-quality tool for convert PDF to Markdown and JSON.
Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Notebook experience in your Clojure namespace.
Open source ML model versioning, metadata, and experiment management.
MeTA: ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.
A tensor-based framework for large-scale data computation which is often regarded as a parallel and distributed version of NumPy.