:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
- algorithm
- data-structure
- visualization
- animation
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:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
A powerful 🚀 Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, panning and animations.
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.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Turns Data and AI algorithms into production-ready web applications in no time.
Count your code, quickly.
Statsmodels: statistical modeling and econometrics in Python
Fast and Accurate ML in 3 Lines of Code
📈 A small, fast chart for time series, lines, areas, ohlc & bars
Modin: Scale your Pandas workflows by changing a single line of code
Pretty time-series line graphs
Create beautiful JavaScript charts with one line of Ruby
📚 Parameterize, execute, and analyze notebooks
The AI-native JSON Gantt chart engine. Dependency-free interactive timelines with React, script-tag, CLI, topological DAG solver, and formal JSON schema.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Scalable and user friendly neural :brain: forecasting algorithms.
Translated📈Lightweight k-line chart that can be highly customized. Zero dependencies. Support mobile.
🍰 Progressive <svg> pie, donut, bar and line charts
Math.NET Numerics
iOS-based charting library for both line and bar graphs.
Visualize and compare datasets, target values and associations, with one line of code.
Go package to make lightweight ASCII line graph ╭┈╯ in command line apps with no other dependencies.
Android Graph Library for creating zoomable and scrollable line and bar graphs.
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra